Duration: 4-6 weeks | Prerequisites: Basic programming knowledge
| Course | Platform | Duration | Link |
|---|---|---|---|
| Python for Data Science | DataCamp | 4 weeks | Course |
| Machine Learning Specialization | DeepLearning.AI | 3 months | Course |
| Mathematics for Machine Learning | Coursera | 4 weeks | Course |
| Python Programming for Beginners | freeCodeCamp | Self-paced | Course |
| Video | Channel | Duration | Link |
|---|---|---|---|
| Python Full Course | Programming with Mosh | 6 hours | Watch |
| Machine Learning for Beginners | Microsoft | 12 weeks | Watch |
| Linear Algebra | 3Blue1Brown | 2 hours | Watch |
| Statistics for Data Science | StatQuest | 4 hours | Watch |
| Project | Difficulty | Skills | GitHub |
|---|---|---|---|
| Build a Data Analysis Pipeline | Easy | Pandas, NumPy, Matplotlib | Example |
| Predict House Prices | Easy | Scikit-learn, Regression | Example |
| Spam Classifier | Easy | NLP basics, Classification | Example |
| Customer Segmentation | Medium | Clustering, K-means | Example |
| Resource | Author | Link |
|---|---|---|
| Python Data Science Handbook | Jake VanderPlas | Book |
| Hands-On Machine Learning | Aurélien Géron | Book |
| Mathematics for Machine Learning | Marc Peter Deisenroth |
Duration: 6-8 weeks | Prerequisites: Phase 1 completion
| Course | Platform | Duration | Link |
|---|---|---|---|
| AI Agents for Beginners | Microsoft | 10 lessons | Course |
| Building Systems with LLMs | DeepLearning.AI | 3 weeks | Course |
| OpenAI API Fundamentals | OpenAI | Self-paced | Course |
| Function Calling with GPT | DeepLearning.AI | 2 weeks | Course |
| Video | Channel | Duration | Link |
|---|---|---|---|
| AI Agents Full Course 2026 | Tech With Tim | 2 hours | Watch |
| OpenAI Function Calling Tutorial | Dave Ebbelaar | 45 min | Watch |
| RAG Tutorial from Scratch | LangChain | 1.5 hours | Watch |
| ReAct Prompting Explained | Prompt Engineering Guide | 30 min | Watch |
| Full Course AI Agents for Beginners | Microsoft | 2 hours | Watch |
| Project | Difficulty | Skills | Description |
|---|---|---|---|
| Chatbot with Function Calling | Easy | OpenAI API, Tools | Build a chatbot that can search Wikipedia and calculate math |
| Document Q&A with RAG | Easy | LangChain, Vector DB | Upload PDFs and ask questions using RAG |
| Weather Agent | Easy | API Integration | Agent that fetches weather using OpenWeatherMap API |
| Personal Assistant | Medium | Multi-tool, Memory | Assistant that remembers preferences and uses multiple tools |
| Research Assistant | Medium | Web Search, Summarization | Agent that researches topics and summarizes findings |
| Resource | Author | Link |
|---|---|---|
| Prompt Engineering Guide | DAIR.AI | Guide |
| OpenAI Function Calling Guide | OpenAI | Guide |
| ReAct Prompting Technique | Prompt Engineering Guide | Guide |
Duration: 8-10 weeks | Prerequisites: Phase 2 completion
| Course | Platform | Duration | Link |
|---|---|---|---|
| LangChain Academy | LangChain | Self-paced | Course |
| LangGraph Introduction | LangChain | 6 hours | Course |
| Multi AI Agent Systems with CrewAI | DeepLearning.AI | 3 weeks | Course |
| Building Code Agents with smolagents | DeepLearning.AI | 2 weeks | Course |
| Building Agentic RAG with LlamaIndex | DeepLearning.AI | 3 weeks | Course |
| Agentic AI with LangChain & LangGraph | Udemy | 8 hours | Course |
| Video | Channel | Duration | Link |
|---|---|---|---|
| LangChain Mastery 2025 | Harish Neel | 5 hours | Watch |
| LangGraph Full Course | LangChain | 8 hours | Watch |
| CrewAI Tutorial | Codebasics | 1 hour | Watch |
| AutoGen Crash Course | Tech Mayank | 2 hours | Watch |
| Hugging Face Agents Course | Hugging Face | Full course | Watch |
| LlamaIndex Crash Course | DataCamp | 1.5 hours | Watch |
| Project | Framework | Difficulty | Description |
|---|---|---|---|
| Customer Service Agent | LangChain | Medium | Automated support ticket handling with tools |
| Research Writing Team | CrewAI | Medium | Multi-agent system for research and writing |
| Code Review Agent | AutoGen | Medium | Agent that reviews and suggests code improvements |
| Financial Analysis Agent | LangGraph | Hard | Multi-step financial data analysis workflow |
| Personal Knowledge Assistant | LlamaIndex | Medium | RAG-based personal knowledge management |
| Travel Planning Agent | CrewAI | Medium | Multi-agent trip planning system |
| Data Analyst Agent | LangChain | Medium | Agent that analyzes CSV/SQL data and generates reports |
| Resource | Link |
|---|---|
| LangChain Documentation | Docs |
| LangGraph Documentation | Docs |
| CrewAI Documentation | Docs |
| AutoGen Documentation | Docs |
| Hugging Face Agents Course | Course |
| LlamaIndex Documentation | Docs |
Duration: 6-8 weeks | Prerequisites: Phase 3 completion
| Course | Platform | Duration | Link |
|---|---|---|---|
| Model Context Protocol (MCP) | Anthropic | Self-paced | Course |
| MCP for Beginners | Udemy | 4 hours | Course |
| Agentic AI on AWS | Udemy | 6 hours | Course |
| Serverless Agentic Workflows | Coursera | 4 weeks | Course |
| Multi-Agent Systems | Udacity | 4 weeks | Course |
| Agentic AI Certificate | Johns Hopkins | 8 weeks | Course |
| Video | Channel | Duration | Link |
|---|---|---|---|
| MCP Full Course | Various | 3 hours | Watch |
| Multi-Agent Design Patterns | Google Cloud | 1 hour | Watch |
| AWS Bedrock Agents | AWS | 2 hours | Watch |
| Google ADK Multi-Agent | Google Cloud | 1.5 hours | Watch |
| Building Multi-Agent Systems | Google Codelabs | 2 hours | Watch |
| Project | Technology | Difficulty | Description |
|---|---|---|---|
| MCP Server Implementation | MCP | Hard | Build a custom MCP server for a specific domain |
| Multi-Agent Orchestration System | LangGraph | Hard | Orchestrate 5+ agents for complex workflows |
| Agent Evaluation Pipeline | DeepEval | Medium | Build automated testing for AI agents |
| Secure Agent Deployment | AWS/Azure | Hard | Deploy agents with security guardrails |
| Enterprise RAG System | LlamaIndex | Hard | Production-grade RAG with evaluation |
| Autonomous Research Agent | Multiple | Hard | Agent that conducts independent research |
| Resource | Author/Provider | Link |
|---|---|---|
| Multi-Agent Systems | Michael Wooldridge | Book |
| AI Agent Evaluation Guide | DeepEval | Guide |
| Agentic AI Security | Palo Alto Networks | Guide |
| Practical Guide to Building Agents | OpenAI | |
| MCP Complete Guide | Machine Learning Mastery | Guide |
Duration: Ongoing | Prerequisites: Phase 4 completion
| Course | Platform | Link |
|---|---|---|
| Agentic AI Specialization | UT Austin | Course |
| AI Agent Developer Specialization | Coursera | Course |
| Advanced LLM Research | Stanford CS324 | Course |
| Video | Channel | Topic | Link |
|---|---|---|---|
| Building AI Agents That Actually Work | AI Explained | Production patterns | Watch |
| Advanced Agent Architectures | Anthropic | Claude Computer Use | Watch |
| 5-Day AI Agents Intensive | Complete course | Watch |
| Project | Scale | Description |
|---|---|---|
| Enterprise Agent Platform | Enterprise | Build a platform for deploying 100+ agents |
| Autonomous Coding Agent | Research | Agent that can independently develop software |
| Multi-Agent Swarm System | Research | Swarm of agents for complex problem solving |
| Agent Orchestration Framework | Open Source | Contribute to LangChain, CrewAI, or AutoGen |
| Industry-Specific Agent Suite | Enterprise | Domain-specific agents (legal, medical, finance) |
| Resource | Link |
|---|---|
| Agentic AI Survey Papers (IEEE) | Paper |
| Agentic AI Comprehensive Survey (Springer) | Paper |
| arXiv Agentic AI Papers | Papers |
| Agentic AI Handbook |
Build these comprehensive projects to solidify your learning
Calendar, email, and task management agent with multiple tool integrations
RAG-based document interaction with PDF upload and semantic search
Weather, news, and calculator integration with function calling
Multi-agent support system with ticket routing and escalation
CrewAI-based research and writing team with specialized agents
AutoGen-based code analysis with quality metrics and suggestions
Production RAG system with evaluation framework and security
Financial analysis and trading agents with risk management
Self-directed research system with literature review and synthesis
Complete domain solution (legal, medical, or finance) with compliance
Major contribution to LangChain, CrewAI, or similar frameworks
End-to-end business automation with monitoring and optimization
Validate your skills with industry-recognized certifications
| Certification | Provider | Link |
|---|---|---|
| AI Agents for Beginners | Microsoft | Certificate |
| Hugging Face Agents Course | Hugging Face | Certificate |
| LangChain Academy | LangChain | Certificate |
| Certification | Provider | Cost | Link |
|---|---|---|---|
| Agentic AI Certificate | Johns Hopkins University | ~$3,000 | Course |
| AI Agent Developer Specialization | Coursera | ~$50/month | Course |
| AWS Certified AI Practitioner | AWS | ~$100 | Certification |
| Google Cloud AI Certification | Google Cloud | ~$200 | Certification |
| UT Austin AI Agents Program | UT Austin | Contact for pricing | Program |
Your path to becoming a successful AI Agent professional
Role: Junior AI Agent Developer
Skills: Python, LangChain, OpenAI API, Basic RAG
Salary: $80,000 - $120,000
Role: AI Agent Engineer
Skills: Multi-agent systems, Framework mastery, Production deployment
Salary: $120,000 - $180,000
Role: Senior AI Agent Engineer / AI Architect
Skills: Architecture design, Team leadership, Research
Salary: $180,000 - $300,000+
Role: Principal AI Agent Engineer / AI Researcher
Skills: Novel research, Enterprise architecture, Innovation
Salary: $250,000 - $500,000+
| Repository | Description | Link |
|---|---|---|
| 500 AI Agent Projects | Curated collection of projects across all frameworks | GitHub |
| Awesome AI Agents | Comprehensive resource list and tools | GitHub |
| GenAI Agents | 50+ tutorials and implementations | GitHub |
| AI Agents for Beginners | Microsoft course materials and code | GitHub |
| Resource | Link |
|---|---|
| AI Engineering Interview Questions | GitHub |
| Agentic AI System Design Interview Guide | Medium |
| Agentic AI Interview Questions & Answers | YouTube |
| Top Agentic AI Interview Questions | GeeksforGeeks |
| Phase 1: | 4 weeks |
| Phase 2: | 6 weeks |
| Phase 3: | 8 weeks |
| Phase 4: | 6 weeks |
| Phase 5: | Ongoing |
| Total: | 6 months |
| Phase 1: | 8 weeks |
| Phase 2: | 12 weeks |
| Phase 3: | 16 weeks |
| Phase 4: | 12 weeks |
| Phase 5: | Ongoing |
| Total: | 12 months |
| Book | Link |
|---|---|
| Mastering AI Agents | |
| Agentic AI Handbook | |
| Practical Guide to Building Agents | |
| Mastering AI Agents (Galileo) |
This comprehensive syllabus provides a complete roadmap from novice to expert in Agentic AI. The field is rapidly evolving, so continuous learning is essential.
Good luck on your journey to becoming an Agentic AI expert! 🚀
Last Updated: June 2026 | Keep learning, keep building!
All links verified and working as of publication date. Please check individual platforms for current pricing and availability.