My AI & Agentic AI Learning Journey

Building Autonomous AI Agents

🤖 Agentic AI Engineering

Comprehensive journey through the Complete Agentic AI Engineering Course, mastering autonomous AI agents and multi-agent systems. The course covers everything from foundations to advanced implementations.

📚 Learning Modules

  • Foundations: Core concepts of Agentic AI, LLM basics, and prompt engineering
  • OpenAI Agents: Building agents with OpenAI SDK, structured outputs, and guardrails
  • CrewAI: Multi-agent collaboration, hierarchical processes, and memory management
  • LangGraph: Workflow automation with graph-based agent systems
  • Autogen: Automated agent generation and team coordination
  • MCP (Model Context Protocol): Advanced agent communication patterns

💡 Generative AI Projects

Collection of practical AI applications showcasing various generative AI techniques and implementations:

  • Marketing Brochure Generator: Automated marketing content creation using OpenAI API
  • Customer Support Bot: Intelligent chatbot with streaming responses
  • RAG Systems: Expert knowledge workers with LangChain and vector databases
  • Code Optimization: AI-powered code analysis and optimization tools
  • Open Source Models: Working with transformers, tokenizers, and model pipelines
  • Budget Tracker: AI-powered financial document analysis

🛠️ Technologies & Frameworks

AI Frameworks: OpenAI SDK, CrewAI, LangChain, LangGraph, Autogen, Hugging Face Transformers

Models: GPT-4, Claude, Gemini, Llama, Mistral, DeepSeek, and various open-source models

Tools: Gradio, Jupyter Notebooks, Vector Databases, RAG Systems, Web Search APIs

Concepts: Prompt Engineering, Function Calling, Structured Outputs, Guardrails, Multi-modal AI

🔄 Agentic Workflow Patterns

  • Prompt Chaining: Sequential agent workflows for complex tasks
  • Routing: Intelligent task distribution across specialized agents
  • Orchestration: Coordinator-worker patterns with parallel execution
  • Evaluation: Agent output validation and quality assurance
  • Research Agents: Deep research with web search and synthesis

🌟 Notable Projects

Deep Research Systems: Multi-agent research platforms with search, analysis, and report generation

Course Instructor Agent: Automated curriculum design, instruction writing, and practice generation

Stock Market Crew: Financial analysis agents using CrewAI framework

Multi-LLM Agents: Integrating multiple models (OpenAI, Claude, Gemini, Bedrock) in single systems

Continuously learning and building at the forefront of Agentic AI technology. Explore my repositories for detailed implementations, code examples, and comprehensive documentation.

© 2022 Judah George.