# AI-Tutorial-Codes-Included

**Repository Path**: taylor_bush/AI-Tutorial-Codes-Included

## Basic Information

- **Project Name**: AI-Tutorial-Codes-Included
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- **Created**: 2025-12-14
- **Last Updated**: 2025-12-14

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# AI-Tutorials/Implementations and Notebooks

### Index 

* [Agentic AI and Agents](https://github.com/Marktechpost/AI-Notebooks?tab=readme-ov-file#agentic-ai-and-agents)
* [ML & Data Science](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/README.md#machine-learning--data-science)
* [MCPs Guides](https://github.com/Marktechpost/AI-Notebooks?tab=readme-ov-file#mcps-guides)
* [LLMs and Other AI Section](https://github.com/Marktechpost/AI-Tutorial-Codes-Included?tab=readme-ov-file#llmsml-and-other-ai-section)
* [Voice AI](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/README.md#voice-ai)
* [RAG](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/README.md#rag)
* [Computer Vision](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/README.md#computer-vision)

---
  

### Agentic AI and Agents

▶ How to Design a Fully Local Agentic Storytelling Pipeline Using Griptape Workflows, Hugging Face Models, and Modular Creative Task Orchestration [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/griptape_local_agentic_story_pipeline_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/12/12/how-to-design-a-fully-local-agentic-storytelling-pipeline-using-griptape-workflows-hugging-face-models-and-modular-creative-task-orchestration/)

▶ A Coding Guide to Build a Procedural Memory Agent That Learns, Stores, Retrieves, and Reuses Skills as Neural Modules Over Time [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/procedural_memory_agent_skill_learning_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/09/a-coding-guide-to-build-a-procedural-memory-agent-that-learns-stores-retrieves-and-reuses-skills-as-neural-modules-over-time/)

▶ How to Build an Adaptive Meta-Reasoning Agent That Dynamically Chooses Between Fast, Deep, and Tool-Based Thinking Strategies [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/adaptive_meta_reasoning_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/06/how-to-build-an-adaptive-meta-reasoning-agent-that-dynamically-chooses-between-fast-deep-and-tool-based-thinking-strategies/)

▶ How to Design a Fully Local Multi-Agent Orchestration System Using TinyLlama for Intelligent Task Decomposition and Autonomous Collaboration [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/local_multi_agent_manager_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/12/05/how-to-design-a-fully-local-multi-agent-orchestration-system-using-tinyllama-for-intelligent-task-decomposition-and-autonomous-collaboration/)

▶ How to Build a Meta-Cognitive AI Agent That Dynamically Adjusts Its Own Reasoning Depth for Efficient Problem Solving [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/meta_cognitive_reasoning_controller_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/03/how-to-build-a-meta-cognitive-ai-agent-that-dynamically-adjusts-its-own-reasoning-depth-for-efficient-problem-solving/)

▶ A Coding Guide to Design an Agentic AI System Using a Control-Plane Architecture for Safe, Modular, and Scalable Tool-Driven Reasoning Workflows [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/control_plane_agentic_ai_system_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/28/a-coding-guide-to-design-an-agentic-ai-system-using-a-control-plane-architecture-for-safe-modular-and-scalable-tool-driven-reasoning-workflows/)

▶ A Coding Implementation for an Agentic AI Framework that Performs Literature Analysis, Hypothesis Generation, Experimental Planning, Simulation, and Scientific Reporting [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/agentic_scientific_discovery_pipeline_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/11/27/a-coding-implementation-for-an-agentic-ai-framework-that-performs-literature-analysis-hypothesis-generation-experimental-planning-simulation-and-scientific-reporting/)

▶ How to Build a Neuro-Symbolic Hybrid Agent that Combines Logical Planning with Neural Perception for Robust Autonomous Decision-Making [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/neuro_symbolic_hybrid_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/24/how-to-build-a-neuro-symbolic-hybrid-agent-that-combines-logical-planning-with-neural-perception-for-robust-autonomous-decision-making/)

▶ How to Design a Mini Reinforcement Learning Environment-Acting Agent with Intelligent Local Feedback, Adaptive Decision-Making, and Multi-Agent Coordination [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/agentic_multi_agent_rl_gridworld_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/22/how-to-design-a-mini-reinforcement-learning-environment-acting-agent-with-intelligent-local-feedback-adaptive-decision-making-and-multi-agent-coordination/)

▶ How to Build a Fully Offline Multi-Tool Reasoning Agent with Dynamic Planning, Error Recovery, and Intelligent Function Routing [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Codes/advanced_multitool_agentic_ai_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/11/20/how-to-build-a-fully-offline-multi-tool-reasoning-agent-with-dynamic-planning-error-recovery-and-intelligent-function-routing/)

▶ An Implementation of a Comprehensive Empirical Framework for Benchmarking Reasoning Strategies in Modern Agentic AI Systems [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/agentic_benchmarking_empirical_study_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/19/an-implementation-of-a-comprehensive-empirical-framework-for-benchmarking-reasoning-strategies-in-modern-agentic-ai-systems/)

▶ How to Build an Agentic Deep Reinforcement Learning System with Curriculum Progression, Adaptive Exploration, and Meta-Level UCB Planning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/agentic_deep_rl_curriculum_ucb_meta_control_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/18/how-to-build-an-agentic-deep-reinforcement-learning-system-with-curriculum-progression-adaptive-exploration-and-meta-level-ucb-planning/)

▶ How to Build Memory-Powered Agentic AI That Learns Continuously Through Episodic Experiences and Semantic Patterns for Long-Term Autonomy [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/memory_driven_agentic_ai_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/15/how-to-build-memory-powered-agentic-ai-that-learns-continuously-through-episodic-experiences-and-semantic-patterns-for-long-term-autonomy/)

▶ How to Design an Advanced Multi-Agent Reasoning System with spaCy Featuring Planning, Reflection, Memory, and Knowledge Graphs [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/spacy_agentic_ai_system_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/14/how-to-design-an-advanced-multi-agent-reasoning-system-with-spacy-featuring-planning-reflection-memory-and-knowledge-graphs/)

▶ How to Build a Fully Self-Verifying Data Operations AI Agent Using Local Hugging Face Models for Automated Planning, Execution, and Testing [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/self_verifying_dataops_agent_local_hf_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/11/13/how-to-build-a-fully-self-verifying-data-operations-ai-agent-using-local-hugging-face-models-for-automated-planning-execution-and-testing/)

▶ A Coding Implementation to Build Neural Memory Agents with Differentiable Memory, Meta-Learning, and Experience Replay for Continual Adaptation in Dynamic Environments [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/neural_memory_agents_continual_learning_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/09/a-coding-implementation-to-build-neural-memory-agents-with-differentiable-memory-meta-learning-and-experience-replay-for-continual-adaptation-in-dynamic-environments/)

▶ How to Build an Agentic Voice AI Assistant that Understands, Reasons, Plans, and Responds through Autonomous Multi-Step Intelligence [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Voice%20AI/agentic_voice_ai_autonomous_assistant_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/08/how-to-build-an-agentic-voice-ai-assistant-that-understands-reasons-plans-and-responds-through-autonomous-multi-step-intelligence/)

▶ Build a Multi-Agent System for Integrated Transcriptomic, Proteomic, and Metabolomic Data Interpretation with Pathway Reasoning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/multi_agent_omics_integration_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/07/build-a-multi-agent-system-for-integrated-transcriptomic-proteomic-and-metabolomic-data-interpretation-with-pathway-reasoning/)

▶ How to Build a Model-Native Agent That Learns Internal Planning, Memory, and Multi-Tool Reasoning Through End-to-End Reinforcement Learning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/Model_Native_Agentic_AI_End_to_End_RL_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/05/how-to-build-a-model-native-agent-that-learns-internal-planning-memory-and-multi-tool-reasoning-through-end-to-end-reinforcement-learning/)

▶ Build an Autonomous Wet-Lab Protocol Planner and Validator Using Salesforce CodeGen for Agentic Experiment Design and Safety Optimization [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/wetlab_protocol_planner_codegen_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/06/build-an-autonomous-wet-lab-protocol-planner-and-validator-using-salesforce-codegen-for-agentic-experiment-design-and-safety-optimization/)

▶ How to Design a Persistent Memory and Personalized Agentic AI System with Decay and Self-Evaluation? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Agentic%20AI%20Memory/Persistent_Memory_Personalised_Agentic_AI_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/02/how-to-design-a-persistent-memory-and-personalized-agentic-ai-system-with-decay-and-self-evaluation/)

▶ How to Design an Autonomous Multi-Agent Data and Infrastructure Strategy System Using Lightweight Qwen Models for Efficient Pipeline Intelligence? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/agentic_data_infrastructure_strategy_qwen_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/10/30/how-to-design-an-autonomous-multi-agent-data-and-infrastructure-strategy-system-using-lightweight-qwen-models-for-efficient-pipeline-intelligence/)

▶ How to Build a Fully Functional Computer-Use Agent that Thinks, Plans, and Executes Virtual Actions Using Local AI Models [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Computer_Use_Agent_Local_AI_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/25/how-to-build-a-fully-functional-computer-use-agent-that-thinks-plans-and-executes-virtual-actions-using-local-ai-models/)

▶ A Coding Implementation of a Comprehensive Enterprise AI Benchmarking Framework to Evaluate Rule-Based LLM, and Hybrid Agentic AI Systems Across Real-World Tasks [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/enterprise_agentic_benchmarking_framework_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/01/a-coding-implementation-of-a-comprehensive-enterprise-ai-benchmarking-framework-to-evaluate-rule-based-llm-and-hybrid-agentic-ai-systems-across-real-world-tasks/)

▶ How to Build Ethically Aligned Autonomous Agents through Value-Guided Reasoning and Self-Correcting Decision-Making Using Open-Source Models [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Value_Alignment_and_Ethics_in_Agentic_Systems_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/29/how-to-build-ethically-aligned-autonomous-agents-through-value-guided-reasoning-and-self-correcting-decision-making-using-open-source-models/)

▶ How to Build, Train, and Compare Multiple Reinforcement Learning Agents in a Custom Trading Environment Using Stable-Baselines3 [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/advanced_stable_baselines3_trading_agent_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/10/26/how-to-build-train-and-compare-multiple-reinforcement-learning-agents-in-a-custom-trading-environment-using-stable-baselines3/)

▶ How I Built an Intelligent Multi-Agent Systems with AutoGen, LangChain, and Hugging Face to Demonstrate Practical Agentic AI Workflows [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Agentic_AI_LangChain_AutoGen_HuggingFace_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/21/how-i-built-an-intelligent-multi-agent-systems-with-autogen-langchain-and-hugging-face-to-demonstrate-practical-agentic-ai-workflows/)

▶ A Coding Guide to Build a Fully Functional Multi-Agent Marketplace Using uAgent [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/uagents_multi_agent_marketplace_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/23/a-coding-guide-to-build-a-fully-functional-multi-agent-marketplace-using-uagent/)

▶ A Coding Implementation of Secure AI Agent with Self-Auditing Guardrails, PII Redaction, and Safe Tool Access in Python [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/secure_ai_agent_with_guardrails_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/10/12/a-coding-implementation-of-secure-ai-agent-with-self-auditing-guardrails-pii-redaction-and-safe-tool-access-in-python/)

▶ Meet LangChain’s DeepAgents Library and a Practical Example to See How DeepAgents Actually Work in Action [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Langchain_Deepagents.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/20/meet-langchains-deepagents-library-and-a-practical-example-to-see-how-deepagents-actually-work-in-action/)

▶ An Intelligent Conversational Machine Learning Pipeline Integrating LangChain Agents and XGBoost for Automated Data Science Workflows [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/LangChain_XGBoost_Agentic_Pipeline_Tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/07/an-intelligent-conversational-machine-learning-pipeline-integrating-langchain-agents-and-xgboost-for-automated-data-science-workflows/)

▶ A Coding Guide to Build an AI-Powered Cryptographic Agent System with Hybrid Encryption, Digital Signatures, and Adaptive Security Intelligence [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/AI_Crypto_Agent_Secure_Comms_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/16/a-coding-guide-to-build-an-ai-powered-cryptographic-agent-system-with-hybrid-encryption-digital-signatures-and-adaptive-security-intelligence/)

▶ How to Build an Advanced Agentic Retrieval-Augmented Generation (RAG) System with Dynamic Strategy and Smart Retrieval? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/agentic_rag_tutorial_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/09/30/how-to-build-an-advanced-agentic-retrieval-augmented-generation-rag-system-with-dynamic-strategy-and-smart-retrieval/)

▶ A Coding Guide to Build a Hierarchical Supervisor Agent Framework with CrewAI and Google Gemini for Coordinated Multi-Agent Workflows [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/supervisor_framework_crewai_gemini_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/09/30/a-coding-guide-to-build-a-hierarchical-supervisor-agent-framework-with-crewai-and-google-gemini-for-coordinated-multi-agent-workflows/)

▶ How to Build an Intelligent AI Desktop Automation Agent with Natural Language Commands and Interactive Simulation? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/ai_desktop_automation_agent_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/09/26/how-to-build-an-intelligent-ai-desktop-automation-agent-with-natural-language-commands-and-interactive-simulation/)

▶ How to Build an Advanced End-to-End Voice AI Agent Using Hugging Face Pipelines? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/how_to_build_an_advanced_end_to_end_voice_ai_agent_using_hugging_face_pipelines.py) [Tutorial](https://www.marktechpost.com/2025/09/17/how-to-build-an-advanced-end-to-end-voice-ai-agent-using-hugging-face-pipelines/)

▶ How to Create Reliable Conversational AI Agents Using Parlant? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/parlant.py) [Tutorial](https://www.marktechpost.com/2025/09/22/how-to-create-reliable-conversational-ai-agents-using-parlant/)

▶ How to Build a Multilingual OCR AI Agent in Python with EasyOCR and OpenCV [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/advanced_ocr_ai_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/09/12/how-to-build-a-multilingual-ocr-ai-agent-in-python-with-easyocr-and-opencv/)

▶ How to Build a Robust Advanced Neural AI Agent with Stable Training, Adaptive Learning, and Intelligent Decision-Making? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/advanced_neural_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/09/13/how-to-build-a-robust-advanced-neural-ai-agent-with-stable-training-adaptive-learning-and-intelligent-decision-making/)

▶ Building Advanced MCP (Model Context Protocol) Agents with Multi-Agent Coordination, Context Awareness, and Gemini Integration [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Building%20Advanced%20MCP%20Agents%20with%20Multi-Agent%20Coordination.ipynb) [Tutorial](https://www.marktechpost.com/2025/09/10/building-advanced-mcp-model-context-protocol-agents-with-multi-agent-coordination-context-awareness-and-gemini-integration/)

▶ How to Build a Complete Multi-Domain AI Web Agent Using Notte and Gemini [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Build%20a%20Complete%20Multi-Domain%20AI%20Web%20Agent%20Using%20Notte%20and%20Gemini) [Tutorial](https://www.marktechpost.com/2025/09/08/how-to-build-a-complete-multi-domain-ai-web-agent-using-notte-and-gemini/)

▶ How to Create a Bioinformatics AI Agent Using Biopython for DNA and Protein Analysis [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Bioinformatics%20AI%20Agent%20with%20Biopython) [Tutorial](https://www.marktechpost.com/2025/09/07/how-to-create-a-bioinformatics-ai-agent-using-biopython-for-dna-and-protein-analysis/)

▶ Step-by-Step Guide to AI Agent Development Using Microsoft Agent-Lightning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/agent_lightning_prompt_optimization_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/31/step-by-step-guide-to-ai-agent-development-using-microsoft-agent-lightning/)

▶ How to Build an Advanced AI Agent with Summarized Short-Term and Vector-Based Long-Term Memory [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/Advanced%20AI%20Agent%20with%20Summarized%20Short%20Term%20and%20Vector-Based%20LongTerm%20Memory) [Tutorial](https://www.marktechpost.com/2025/09/02/how-to-build-an-advanced-ai-agent-with-summarized-short-term-and-vector-based-long-term-memory/)

▶ How to Build a Conversational Research AI Agent with LangGraph: Step Replay and Time-Travel Checkpoints [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/langgraph_time_travel_research_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/31/how-to-build-a-conversational-research-ai-agent-with-langgraph-step-replay-and-time-travel-checkpoints/)

▶ How to Build a Multi-Round Deep Research Agent with Gemini, DuckDuckGo API, and Automated Reporting? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/deep_research_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/28/how-to-build-a-multi-round-deep-research-agent-with-gemini-duckduckgo-api-and-automated-reporting/)

▶ A Coding Guide to Building a Brain-Inspired Hierarchical Reasoning AI Agent with Hugging Face Models [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/hrm_braininspired_ai_agent_huggingface_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/08/30/a-coding-guide-to-building-a-brain-inspired-hierarchical-reasoning-ai-agent-with-hugging-face-models/)

▶ A Full Code Implementation to Design a Graph-Structured AI Agent with Gemini for Task Planning, Retrieval, Computation, and Self-Critique [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/graphagent_gemini_advanced_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/23/a-full-code-implementation-to-design-a-graph-structured-ai-agent-with-gemini-for-task-planning-retrieval-computation-and-self-critique/)

▶ Building a Reliable End-to-End Machine Learning Pipeline Using MLE-Agent and Ollama Locally [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/mle_agent_ollama_local_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/25/building-a-reliable-end-to-end-machine-learning-pipeline-using-mle-agent-and-ollama-locally/)

▶ An Implementation Guide to Build a Modular Conversational AI Agent with Pipecat and HuggingFace [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/pipecat_huggingface_implementation_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/13/an-implementation-guide-to-build-a-modular-conversational-ai-agent-with-pipecat-and-huggingface/)

▶ Building a Secure and Memory-Enabled Cipher Workflow for AI Agents with Dynamic LLM Selection and API Integration [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/cipher_memory_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/11/building-a-secure-and-memory-enabled-cipher-workflow-for-ai-agents-with-dynamic-llm-selection-and-api-integration/)

▶ A Developer’s Guide to OpenAI’s GPT-5 Model Capabilities [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/GPT-5/GPT_5.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/08/a-developers-guide-to-openais-gpt-5-model-capabilities/)

▶ Building an Advanced PaperQA2 Research Agent with Google Gemini for Scientific Literature Analysis [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/paperqa2_gemini_research_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/09/building-an-advanced-paperqa2-research-agent-with-google-gemini-for-scientific-literature-analysis/)

▶ A Code Implementation to Build a Multi-Agent Research System with OpenAI Agents, Function Tools, Handoffs, and Session Memory [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/openai_agents_multiagent_research_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/08/a-code-implementation-to-build-a-multi-agent-research-system-with-openai-agents-function-tools-handoffs-and-session-memory/)

▶ A Coding Implementation to Build a Self-Adaptive Goal-Oriented AI Agent Using Google Gemini and the SAGE Framework [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/sage_ai_agent_gemini_implementation_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/06/a-coding-implementation-to-build-a-self-adaptive-goal-oriented-ai-agent-using-google-gemini-and-the-sage-framework/)

▶ Building a Multi-Agent Conversational AI Framework with Microsoft AutoGen and Gemini API [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/gemini_autogen_multiagent_framework_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/04/building-a-multi-agent-conversational-ai-framework-with-microsoft-autogen-and-gemini-api/)

▶ A Coding Guide to Build an Intelligent Conversational AI Agent with Agent Memory Using Cognee and Free Hugging Face Models [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Cognee_Agent_Tutorial_with_HuggingFace_Integration_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/07/31/a-coding-guide-to-build-an-intelligent-conversational-ai-agent-with-agent-memory-using-cognee-and-free-hugging-face-models/)

▶ A Coding Guide to Build a Scalable Multi-Agent System with Google ADK [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/advanced_google_adk_multi_agent_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/07/30/a-coding-guide-to-build-a-scalable-multi-agent-system-with-google-adk/)

▶ A Coding Guide to Build a Tool-Calling ReAct Agent Fusing Prolog Logic with Gemini and LangGraph [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/prolog_gemini_langgraph_react_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/07/24/a-coding-guide-to-build-a-tool-calling-react-agent-fusing-prolog-logic-with-gemini-and-langgraph/)

▶ A Coding Guide to Build an AI Code-Analysis Agent with Griffe [Codes](https://github.com/Marktechpost/AI-Notebooks/blob/main/griffe_ai_code_analyzer_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/07/16/a-coding-guide-to-build-an-ai-code-analysis-agent-with-griffe/)

▶ A Code Implementation for Designing Intelligent Multi-Agent Workflows with the BeeAI Framework [Codes](https://github.com/Marktechpost/AI-Notebooks/blob/main/beeai_multi_agent_workflow_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/07/07/a-code-implementation-for-designing-intelligent-multi-agent-workflows-with-the-beeai-framework/)

▶ Implementing a Tool-Enabled Multi-Agent Workflow with Python, OpenAI API, and PrimisAI Nexus [Codes](https://github.com/Marktechpost/AI-Notebooks/blob/main/primisai_nexus_multi_agent_workflow_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/07/07/implementing-a-tool-enabled-multi-agent-workflow-with-python-openai-api-and-primisai-nexus/)

▶ Getting Started with Agent Communication Protocol (ACP): Build a Weather Agent with Python [Codes](https://github.com/Marktechpost/AI-Notebooks/tree/main/Agent%20Communication%20Protocol/Getting%20Started) [Tutorial](https://www.marktechpost.com/2025/07/06/getting-started-with-agent-communication-protocol-acp-build-a-weather-agent-with-python/)

▶ Build a Powerful Multi-Tool AI Agent Using Nebius with Llama 3 and Real-Time Reasoning Tools [Codes](https://github.com/Marktechpost/AI-Notebooks/blob/main/nebius_llama3_multitool_agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/27/build-a-powerful-multi-tool-ai-agent-using-nebius-with-llama-3-and-real-time-reasoning-tools/)

▶ Building Production-Ready Custom AI Agents for Enterprise Workflows with Monitoring, Orchestration, and Scalability [Codes](https://github.com/Marktechpost/AI-Notebooks/blob/main/production_ready_custom_ai_agents_workflows_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/22/building-production-ready-custom-ai-agents-for-enterprise-workflows-with-monitoring-orchestration-and-scalability/)

▶ Building an A2A-Compliant Random Number Agent: A Step-by-Step Guide to Implementing the Low-Level Executor Pattern with Python [Codes](https://github.com/Marktechpost/AI-Notebooks/tree/main/A2A_Simple_Agent) [Tutorial](https://www.marktechpost.com/2025/06/21/building-an-a2a-compliant-random-number-agent-a-step-by-step-guide-to-implementing-the-low-level-executor-pattern-with-python/)

▶ Build a Low-Footprint AI Coding Assistant with Mistral Devstral [Codes](https://github.com/Marktechpost/AI-Notebooks/blob/main/mistral_devstral_compact_loading_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/06/25/build-a-low-footprint-ai-coding-assistant-with-mistral-devstral/)

▶ How to Build an Advanced BrightData Web Scraper with Google Gemini for AI-Powered Data Extraction [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Enhanced_BrightData_Gemini_Scraper_Tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/18/how-to-build-an-advanced-brightdata-web-scraper-with-google-gemini-for-ai-powered-data-extraction/)

▶ Build an Intelligent Multi-Tool AI Agent Interface Using Streamlit for Seamless Real-Time Interaction [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/streamlit_ai_agent_multitool_interface_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/20/build-an-intelligent-multi-tool-ai-agent-interface-using-streamlit-for-seamless-real-time-interaction/)

▶ How to Use python-A2A to Create and Connect Financial Agents with Google’s Agent-to-Agent (A2A) Protocol [Notebook-inflation_agent.py](https://github.com/Marktechpost/AI-Notebooks/blob/main/inflation_agent.py) [Notebook-network.ipynb](https://github.com/Marktechpost/AI-Notebooks/blob/main/network.ipynb) [Notebook-emi_agent.py](https://github.com/Marktechpost/AI-Notebooks/blob/main/emi_agent.py)  [Tutorial](https://www.marktechpost.com/2025/06/16/how-to-use-python-a2a-to-create-and-connect-financial-agents-with-googles-agent-to-agent-a2a-protocol/)

▶ Develop a Multi-Tool AI Agent with Secure Python Execution using Riza and Gemini [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/Agents/Agentic-AI/Riza_Gemini_Agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/11/develop-a-multi-tool-ai-agent-with-secure-python-execution-using-riza-and-gemini/)

▶ Build a Gemini-Powered DataFrame Agent for Natural Language Data Analysis with Pandas and LangChain [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Gemini_Pandas_Agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/10/build-a-gemini-powered-dataframe-agent-for-natural-language-data-analysis-with-pandas-and-langchain/)

▶ How to Build an Asynchronous AI Agent Network Using Gemini for Research, Analysis, and Validation Tasks [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/gemini_agent_network_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/08/how-to-build-an-asynchronous-ai-agent-network-using-gemini-for-research-analysis-and-validation-tasks/)

▶ How to Create Smart Multi-Agent Workflows Using the Mistral Agents API’s Handoffs Feature [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/agent_orchestration_with_mistral_agents_api.py) [Tutorial](https://www.marktechpost.com/2025/06/09/how-to-create-smart-multi-agent-workflows-using-the-mistral-agents-apis-handoffs-feature/)

▶ How to Enable Function Calling in Mistral Agents Using the Standard JSON Schema Format [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/how%20to%20enable%20function%20calling%20in%20Mistral%20Agents.py) [Tutorial](https://www.marktechpost.com/2025/06/08/how-to-enable-function-calling-in-mistral-agents-using-the-standard-json-schema-format/)

▶ A Step-by-Step Coding Guide to Building an Iterative AI Workflow Agent Using LangGraph and Gemini [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/GraphAIAgent_LangGraph_Gemini_Workflow_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/05/a-step-by-step-coding-guide-to-building-an-iterative-ai-workflow-agent-using-langgraph-and-gemini/)

▶ A Coding Implementation to Build an Advanced Web Intelligence Agent with Tavily and Gemini AI [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/smartwebagent_tavily_gemini_webintelligence_marktechpost2.py) [Tutorial](https://www.marktechpost.com/2025/06/03/a-coding-implementation-to-build-an-advanced-web-intelligence-agent-with-tavily-and-gemini-ai/)

▶ Hands-On Guide: Getting started with Mistral Agents API [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Getting_Started_with_Mistral_Agents_API.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/03/hands-on-guide-getting-started-with-mistral-agents-api/)

▶ A Coding Guide to Building a Scalable Multi-Agent Communication Systems Using Agent Communication Protocol (ACP)  [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/A_Coding_Guide_to_ACP_Systems_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/05/31/a-coding-guide-to-building-a-scalable-multi-agent-communication-systems-using-agent-communication-protocol-acp/)

▶ A Coding Guide for Building a Self-Improving AI Agent Using Google’s Gemini API with Intelligent Adaptation Features [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Self_Improving_AI_Agent_with_Gemini_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/05/29/a-coding-guide-for-building-a-self-improving-ai-agent-using-googles-gemini-api-with-intelligent-adaptation-features/)

▶ A Step-by-Step Coding Implementation of an Agent2Agent Framework for Collaborative and Critique-Driven AI Problem Solving with Consensus-Building [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/agent2agent_collaboration_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/05/27/a-step-by-step-coding-implementation-of-an-agent2agent-framework-for-collaborative-and-critique-driven-ai-problem-solving-with-consensus-building/)

▶ A Coding Guide to Building a Customizable Multi-Tool AI Agent with LangGraph and Claude for Dynamic Agent Creation [Notebook](https://github.com/Marktechpost/AINotebooks/blob/main/Customizable_MultiTool_AI_Agent_with_Claude_Marktechpost%20(1).ipynb) [Tutorial](https://www.marktechpost.com/2025/05/24/step-by-step-guide-to-build-a-customizable-multi-tool-ai-agent-with-langgraph-and-claude-for-dynamic-agent-creation/)

▶ A Coding Implementation to Build an AI Agent with Live Python Execution and Automated Validation [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Live_Python_Execution_and_Validation_Agent_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/05/25/a-coding-implementation-to-build-an-ai-agent-with-live-python-execution-and-automated-validation/)

▶ A Comprehensive Coding Guide to Crafting Advanced Round-Robin Multi-Agent Workflows with Microsoft AutoGen  [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Synthetic_Data_Creation.ipynb) [Tutorial](https://www.marktechpost.com/2025/05/23/a-comprehensive-coding-guide-to-crafting-advanced-round-robin-multi-agent-workflows-with-microsoft-autogen/)

▶ A Coding Implementation of an Intelligent AI Assistant with Jina Search, LangChain, and Gemini for Real-Time Information Retrieval [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Jina_LangChain_Gemini_AI_Assistant_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/01/a-coding-implementation-of-an-intelligent-ai-assistant-with-jina-search-langchain-and-gemini-for-real-time-information-retrieval/)

---

### Machine Learning & Data Science

▶ A Coding Implementation of a Complete Hierarchical Bayesian Regression Workflow in NumPyro Using JAX-Powered Inference and Posterior Predictive Analysis [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Data%20Science/numpyro_hierarchical_regression_advanced_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/07/a-coding-implementation-of-a-complete-hierarchical-bayesian-regression-workflow-in-numpyro-using-jax-powered-inference-and-posterior-predictive-analysis/)

▶ How to Design an Advanced Multi-Page Interactive Analytics Dashboard with Dynamic Filtering, Live KPIs, and Rich Visual Exploration Using Panel [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Data%20Science/advanced_panel_interactive_dashboard_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/30/how-to-design-an-advanced-multi-page-interactive-analytics-dashboard-with-dynamic-filtering-live-kpis-and-rich-visual-exploration-using-panel/)

▶ How We Learn Step-Level Rewards from Preferences to Solve Sparse-Reward Environments Using Online Process Reward Learning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Reinforcement%20learning/oprl_preference_shaped_rl_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/12/02/how-we-learn-step-level-rewards-from-preferences-to-solve-sparse-reward-environments-using-online-process-reward-learning/)

▶ How to Build an End-to-End Interactive Analytics Dashboard Using PyGWalker Features for Insightful Data Exploration [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Data%20Science/advanced_pygwalker_visual_analysis_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/11/11/how-to-build-an-end-to-end-interactive-analytics-dashboard-using-pygwalker-features-for-insightful-data-exploration/)

▶ How to Design a Fully Interactive, Reactive, and Dynamic Terminal-Based Data Dashboard Using Textual? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Data%20Science/advanced_textual_data_dashboard_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/15/how-to-design-a-fully-interactive-reactive-and-dynamic-terminal-based-data-dashboard-using-textual/)

▶ A Coding Implementation to Build and Train Advanced Architectures with Residual Connections, Self-Attention, and Adaptive Optimization Using JAX, Flax, and Optax [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/advanced_jax_flax_optax_training_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/10/a-coding-implementation-to-build-and-train-advanced-architectures-with-residual-connections-self-attention-and-adaptive-optimization-using-jax-flax-and-optax/)

▶ How Can We Build Scalable and Reproducible Machine Learning Experiment Pipelines Using Meta Research Hydra? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/meta_hydra_advanced_implementation_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/04/how-can-we-build-scalable-and-reproducible-machine-learning-experiment-pipelines-using-meta-research-hydra/)

▶ How to Build an Advanced Multi-Page Reflex Web Application with Real-Time Database, Dynamic State Management, and Reactive UI [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/advanced_reflex_reactive_webapp_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/08/how-to-build-an-advanced-multi-page-reflex-web-application-with-real-time-database-dynamic-state-management-and-reactive-ui/)

▶ How to Build an End-to-End Data Engineering and Machine Learning Pipeline with Apache Spark and PySpark [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/Advanced_PySpark_End_to_End_Tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/01/how-to-build-an-end-to-end-data-engineering-and-machine-learning-pipeline-with-apache-spark-and-pyspark/)

▶ How to Build Supervised AI Models When You Don’t Have Annotated Data [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Data%20Science/Active_Learning.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/03/how-to-build-supervised-ai-models-when-you-dont-have-annotated-data/)

---


### MCPs Guides 

▶ An Implementation to Build Dynamic AI Systems with the Model Context Protocol (MCP) for Real-Time Resource and Tool Integration [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/MCP%20Codes/Model_Context_Protocol_Integration_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/19/an-implementation-to-build-dynamic-ai-systems-with-the-model-context-protocol-mcp-for-real-time-resource-and-tool-integration/)

▶ Implementing OAuth 2.1 for MCP Servers with Scalekit: A Step-by-Step Coding Tutorial [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/tree/main/OAuth%202.1%20for%20MCP%20Servers) [Tutorial](https://www.marktechpost.com/2025/09/01/implementing-oauth-2-1-for-mcp-servers-with-scalekit-a-step-by-step-coding-tutorial/)

▶ Building an MCP-Powered AI Agent with Gemini and mcp-agent Framework: A Step-by-Step Implementation Guide [Notebook](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/mcp_gemini_agent_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/17/building-an-mcp-powered-ai-agent-with-gemini-and-mcp-agent-framework-a-step-by-step-implementation-guide/)

▶ Creating Dashboards Using Vizro MCP: Vizro is an Open-Source Python Toolkit by McKinsey [Tutorial](https://www.marktechpost.com/2025/08/18/creating-dashboards-using-vizro-mcp-vizro-is-an-open-source-python-toolkit-by-mckinsey/)

▶ A Step-by-Step Coding Guide to Defining Custom Model Context Protocol (MCP) Server and Client Tools with FastMCP and Integrating Them into Google Gemini 2.0’s Function‑Calling Workflow [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/custom_mcp_tools_integration_with_fastmcp_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/04/21/a-step-by-step-coding-guide-to-defining-custom-model-context-protocol-mcp-server-and-client-tools-with-fastmcp-and-integrating-them-into-google-gemini-2-0s-function%e2%80%91calling-workflow/)

▶ A Code Implementation to Building a Context-Aware AI Assistant in Google Colab Using LangChain, LangGraph, Gemini Pro, and Model Context Protocol (MCP) Principles with Tool Integration Support [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Context_Aware_Assistant_MCP_Gemini_LangChain_LangGraph_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/04/04/a-code-implementation-to-building-a-context-aware-ai-assistant-in-google-colab-using-langchain-langgraph-gemini-pro-and-model-context-protocol-mcp-principles-with-tool-integration-support/)

▶ Guide to Using the Desktop Commander MCP Server [Tutorial](https://www.marktechpost.com/2025/06/01/guide-to-using-the-desktop-commander-mcp-server/)

---

### LLMs,ML and Other AI Section

▶ How to Implement Functional Components of Transformer and Mini-GPT Model from Scratch Using Tinygrad to Understand Deep Learning Internals [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/LLM%20Projects/tinygrad_transformer_minigpt_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/25/how-to-implement-functional-components-of-transformer-and-mini-gpt-model-from-scratch-using-tinygrad-to-understand-deep-learning-internals/)

▶ An Implementation of Fully Traced and Evaluated Local LLM Pipeline Using Opik for Transparent, Measurable, and Reproducible AI Workflows [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/LLM%20Projects/opik_local_llm_tracing_and_evaluation_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/11/21/an-implementation-of-fully-traced-and-evaluated-local-llm-pipeline-using-opik-for-transparent-measurable-and-reproducible-ai-workflows/)

▶ A Coding Implementation to Build a Transformer-Based Regression Language Model to Predict Continuous Values from Text [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/regression_language_model_transformer_rlm_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/04/a-coding-implementation-to-build-a-transformer-based-regression-language-model-to-predict-continuous-values-from-text/)

▶ An Implementation on Building Advanced Multi-Endpoint Machine Learning APIs with LitServe: Batching, Streaming, Caching, and Local Inference [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/advanced_litserve_multi_endpoint_api_tutorial_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/10/24/an-implementation-on-building-advanced-multi-endpoint-machine-learning-apis-with-litserve-batching-streaming-caching-and-local-inference/)

▶ Ivy Framework Agnostic Machine Learning Build, Transpile, and Benchmark Across All Major Backends [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/Advanced_Ivy_Framework_Agnostic_ML_Tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/13/ivy-framework-agnostic-machine-learning-build-transpile-and-benchmark-across-all-major-backends/)

▶ A Coding Guide to Master Self-Supervised Learning with Lightly AI for Efficient Data Curation and Active Learning [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/lightly_ai_self_supervised_active_learning_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/11/a-coding-guide-to-master-self-supervised-learning-with-lightly-ai-for-efficient-data-curation-and-active-learning/)

▶ Building and Optimizing Intelligent Machine Learning Pipelines with TPOT for Complete Automation and Performance Enhancement [Notebook](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/ML%20Project%20Codes/tpot_advanced_pipeline_optimization_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/08/29/building-and-optimizing-intelligent-machine-learning-pipelines-with-tpot-for-complete-automation-and-performance-enhancement/)

▶ A Coding Implementation to Build a Complete Self-Hosted LLM Workflow with Ollama, REST API, and Gradio Chat Interface [Notebook](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/self_hosted_llm_ollama_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/19/a-coding-implementation-to-build-a-complete-self-hosted-llm-workflow-with-ollama-rest-api-and-gradio-chat-interface/)

▶ How to Test an OpenAI Model Against Single-Turn Adversarial Attacks Using deepteam [Notebook](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Adversarial%20Attacks/Single-Turn%20Attacks.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/17/how-to-test-an-openai-model-against-single-turn-adversarial-attacks-using-deepteam/)

▶ Using RouteLLM to Optimize LLM Usage [Notebook](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/GPT-5/RouteLLM.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/10/using-routellm-to-optimize-llm-usage/)

▶ Tutorial: Exploring SHAP-IQ Visualizations[Notebook](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/SHAP-IQ/SHAP_IQ_Visuals.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/03/tutorial-exploring-shap-iq-visualizations/)

▶ Building an End-to-End Object Tracking and Analytics System with Roboflow Supervision [Notebook](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/roboflow_supervision_advanced_tracking_analytics_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/08/03/building-an-end-to-end-object-tracking-and-analytics-system-with-roboflow-supervision/)

▶ Getting Started with Microsoft’s Presidio: A Step-by-Step Guide to Detecting and Anonymizing Personally Identifiable Information PII in Text [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Presidio.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/24/getting-started-with-microsofts-presidio-a-step-by-step-guide-to-detecting-and-anonymizing-personally-identifiable-information-pii-in-text/)

▶ Build a Groundedness Verification Tool Using Upstage API and LangChain [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Upstage_Groundedness_Check_Tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/24/build-a-groundedness-verification-tool-using-upstage-api-and-langchain/)

▶ A Coding Guide to Build a Production-Ready Asynchronous Python SDK with Rate Limiting, In-Memory Caching, and Authentication [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/advanced_async_python_sdk_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/23/a-coding-guide-to-build-a-production-ready-asynchronous-python-sdk-with-rate-limiting-in-memory-caching-and-authentication/)

▶ Building High-Performance Financial Analytics Pipelines with Polars: Lazy Evaluation, Advanced Expressions, and SQL Integration [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/polars_sql_analytics_pipeline_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/17/building-high-performance-financial-analytics-pipelines-with-polars-lazy-evaluation-advanced-expressions-and-sql-integration/)

▶ Building AI-Powered Applications Using the Plan → Files → Code Workflow in TinyDev [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/tinydev_gemini_implementation_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/14/building-ai-powered-applications-using-the-plan-%e2%86%92-files-%e2%86%92-code-workflow-in-tinydev/)

▶ A Comprehensive Coding Tutorial for Advanced SerpAPI Integration with Google Gemini-1.5-Flash for Advanced Analytics [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/advanced_serpapi_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/06/a-comprehensive-coding-tutorial-for-advanced-serpapi-integration-with-google-gemini-1-5-flash-for-advanced-analytics/)

▶ Build a Secure AI Code Execution Workflow Using Daytona SDK [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/daytona_secure_ai_code_execution_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/12/build-a-secure-ai-code-execution-workflow-using-daytona-sdk/)

▶ A Coding Guide Implementing ScrapeGraph and Gemini AI for an Automated, Scalable, Insight-Driven Competitive Intelligence and Market Analysis Workflow  [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Competitive_Analysis_with_ScrapeGraph_Gemini_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/06/02/a-coding-guide-implementing-scrapegraph-and-gemini-ai-for-an-automated-scalable-insight-driven-competitive-intelligence-and-market-analysis-workflow/)

▶ A Coding Implementation to Build an Interactive Transcript and PDF Analysis with Lyzr Chatbot Framework [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/Lyzr_Chatbot_Framework_Implementation_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/05/27/a-coding-implementation-to-build-an-interactive-transcript-and-pdf-analysis-with-lyzr-chatbot-framework/)

▶ Step-by-Step Guide to Creating Synthetic Data Using the Synthetic Data Vault (SDV)  [Notebook](https://github.com/Marktechpost/AI-Notebooks/blob/main/AutoGen_TeamTool_RoundRobin_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/05/25/step-by-step-guide-to-creating-synthetic-data-using-the-synthetic-data-vault-sdv/)

▶ Creating a Knowledge Graph Using an LLM  [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/tree/main/Mirascope) [Tutorial](https://www.marktechpost.com/2025/07/28/creating-a-knowledge-graph-using-an-llm/)

---

### Voice AI

▶ How to Build an Agentic Voice AI Assistant that Understands, Reasons, Plans, and Responds through Autonomous Multi-Step Intelligence [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Voice%20AI/agentic_voice_ai_autonomous_assistant_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/08/how-to-build-an-agentic-voice-ai-assistant-that-understands-reasons-plans-and-responds-through-autonomous-multi-step-intelligence/)

▶ How to Build an Advanced Voice AI Pipeline with WhisperX for Transcription, Alignment, Analysis, and Export? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Voice%20AI/voice_ai_whisperx_advanced_tutorial_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/02/how-to-build-an-advanced-voice-ai-pipeline-with-whisperx-for-transcription-alignment-analysis-and-export/)

▶ Building a Speech Enhancement and Automatic Speech Recognition (ASR) Pipeline in Python Using SpeechBrain  [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/guide_to_building_an_end_to_end_speech_enhancement_and_recognition_pipeline_with_speechbrain.py) [Tutorial](https://www.marktechpost.com/2025/09/09/building-a-speech-enhancement-and-automatic-speech-recognition-asr-pipeline-in-python-using-speechbrain/)

▶ How to Build an Advanced End-to-End Voice AI Agent Using Hugging Face Pipelines? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/AI%20Agents%20Codes/how_to_build_an_advanced_end_to_end_voice_ai_agent_using_hugging_face_pipelines.py) [Tutorial](https://www.marktechpost.com/2025/09/17/how-to-build-an-advanced-end-to-end-voice-ai-agent-using-hugging-face-pipelines/)

---

### RAG

▶ How to Reduce Cost and Latency of Your RAG Application Using Semantic LLM Caching [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/RAG/Semantic_Caching.ipynb) [Tutorial](https://www.marktechpost.com/2025/11/11/how-to-reduce-cost-and-latency-of-your-rag-application-using-semantic-llm-caching/)

▶ How to Build an Agentic Decision-Tree RAG System with Intelligent Query Routing, Self-Checking, and Iterative Refinement? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/RAG/agentic_rag_with_routing_and_self_check_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/10/27/how-to-build-an-agentic-decision-tree-rag-system-with-intelligent-query-routing-self-checking-and-iterative-refinement/)

▶ How to Design a Fully Functional Enterprise AI Assistant with Retrieval Augmentation and Policy Guardrails Using Open Source AI Models [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/RAG/enterprise_ai_rag_guardrails_Marktechpost.ipynb) [Tutorial](https://www.marktechpost.com/2025/10/22/how-to-design-a-fully-functional-enterprise-ai-assistant-with-retrieval-augmentation-and-policy-guardrails-using-open-source-ai-models/)

▶ How to Evaluate Your RAG Pipeline with Synthetic Data? [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/RAG/rag_evaluation.py) [Tutorial](https://www.marktechpost.com/2025/10/13/how-to-evaluate-your-rag-pipeline-with-synthetic-data/)


---

### Computer Vision

▶ A Coding Guide to Implement Advanced Hyperparameter Optimization with Optuna using Pruning Multi-Objective Search, Early Stopping, and Deep Visual Analysis [Codes](https://github.com/Marktechpost/AI-Tutorial-Codes-Included/blob/main/Computer%20Vision/optuna_advanced_hpo_marktechpost.py) [Tutorial](https://www.marktechpost.com/2025/11/17/a-coding-guide-to-implement-advanced-hyperparameter-optimization-with-optuna-using-pruning-multi-objective-search-early-stopping-and-deep-visual-analysis/)