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🚀 AI Agent Engineer Course

Welcome to the Future of AI Development

Master the design, development, and deployment of intelligent AI agents.

Hands-on, open-source, and community-driven learning for the next generation of AI engineers.

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🎯 Why This Course Exists

The AI Revolution is Here

AI agents are the next evolution of software automation. You'll learn not only how to build agents today but also how to design extensible, safe, and maintainable systems that evolve with new models and research.

🚀 Future-Proof Your Career

Stay Ahead of the Curve

  • AI agents are transforming how we build software
  • Autonomous workflows are becoming the standard
  • Multi-agent systems are the future of complex applications
  • Agent engineering is the most in-demand skill in AI

🛠️ Hands-On, Project-First Learning

Build Real Projects

Each phase culminates in a capstone project—from simple ReAct loops to multi-agent orchestrators—so you graduate with a portfolio of deployable demos and production-grade code.

🤝 Collaborative & Open Source

Join Our Community

This course is hosted on GitHub under the karthikkpro/ai-agent-engineer-course organization. Contributions, improvements, and new elective modules are welcome!

📚 What You'll Learn

🎯 Phase 0: Foundations & Mindset

Build the Right Foundation

Grasp core agent concepts, autonomy vs. automation, and develop an agentic problem-solving mindset.

Key Topics

  • 🧠 Agent fundamentals and core concepts
  • ⚖️ Autonomy vs. automation principles
  • 🎯 Agentic thinking and problem-solving
  • 🚀 Career resilience in the AI era

🛠️ Phase 1: Essential Tools & Techniques

Master the Fundamentals

Master Python integrations, prompt engineering, LangChain wrappers, vector-store memory, and Retrieval-Augmented Generation (RAG).

Key Topics

  • 🐍 Python for AI agents
  • ✨ Advanced prompt engineering
  • 🔧 Tool wrappers and LangChain
  • 🧠 Memory systems and basic RAG
  • 🔌 Model APIs and integrations

🔄 Phase 2: Agentic Workflows & Reliability

Build Robust Systems

Implement robust ReAct loops, hybrid RAG pipelines, and systematic evaluation with LangSmith, PromptLayer, and TruLens.

Key Topics

  • 🔄 Agent loop deep dive
  • ⛓️ Prompt and tool chaining
  • 🔗 Hybrid RAG and context management
  • 📊 Evaluation and tracing systems

🤖 Phase 3: Multi-Agent Orchestration

Scale to Complex Systems

Orchestrate planner/executor/reviewer patterns using LangGraph, AutoGen, and CrewAI. Build scalable, secure task networks.

Key Topics

  • 🤖 Multi-agent orchestration
  • 🔍 Advanced RAG pipelines
  • 🕸️ State and DAG orchestration
  • 🤝 Collaboration patterns
  • 📋 Framework survey and comparison

🚀 Phase 4: Production Deployment & Ops

Production-Ready Systems

Containerize with Docker, deploy serverless agents, establish CI/CD pipelines, observability (Sentry, Prometheus), and incident runbooks.

Key Topics

  • 🚀 Production deployment strategies
  • 🐳 Containerization and serverless
  • 🔄 CI/CD and secrets management
  • 📊 Observability and incidents
  • 🔒 Security and compliance

🛡️ Phase 5: Advanced Safety & RLHF

Safety First

Engineer multi-layer guardrails, run RLHF feedback loops, and build continuous evaluation harnesses with REALM-Bench.

Key Topics

  • 🛡️ Advanced safety engineering
  • 🚧 Guardrails and fail-safes
  • 🎯 RLHF and policy tuning
  • 📈 Continuous evaluation systems

🏆 Phase 6: Portfolio & Leadership

Build Your Career

Showcase capstones, open-source contributions, leadership frameworks, and a lifelong learning cadence to stay current.

Key Topics

  • 📁 Portfolio development
  • 🌟 Open source contributions
  • 👥 Leadership in AI teams
  • 📚 Lifelong learning strategies

🎓 Course Features

What Makes This Course Special

📖 Comprehensive Curriculum

From foundations to production deployment, covering all aspects of AI agent development.

🛠️ Hands-On Projects

Build real-world projects that you can showcase in your portfolio.

🤝 Community-Driven

Open source and collaborative learning with contributions from the community.

🚀 Future-Focused

Learn cutting-edge techniques that will keep you ahead of the curve.

📚 Rich Resources

Extensive documentation, code examples, and best practices.

🎯 Career-Ready

Skills and projects that directly translate to job opportunities.

🚀 Ready to Start Your Journey?

Begin Your AI Agent Engineering Career

Join thousands of developers learning to build the future of AI applications.

Get Started

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Stay Connected

Welcome aboard! Let's build the future of autonomous AI systems—together. 🚀