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  • AI Engineer Agentic Track: The Complete Agent & MCP Course
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    1. Section 1 - Week 1
    1. Day 1 - Autonomous AI Agent Demo Using N8n to Control Smart Home Devices
    2. Day 1 - AI Agent Frameworks Explained OpenAI SDK, Crew AI, LangGraph & AutoGen
    3. Day 1 - Agent Engineering Setup Understanding Cursor IDE, UV & API Options
    4. Day 1 - Windows Setup for AI Development Git, Cursor IDE & UV Package Manager
    5. Day 1 - Setting Up Your Mac for AI Projects GitHub, Cursor IDE & OpenAI API Key
    6. Day 1 - Building Your First Agentic AI Workflow with OpenAI API Step-by-Step
    7. Day 1 - Introduction to Agentic AI Creating Multi-Step LLM Workflows + Autonomy
    8. Day 2 - Building Effective Agents LLM Autonomy & Tool Integration Explained
    9. Day 2 - 5 Essential LLM Workflow Design Patterns for Building Robust AI Systems
    10. Day 2 - Understanding Agent vs Workflow Patterns in LLM Application Design
    11. Day 3 - Orchestrating Multiple LLMs Comparing GPT-4o, Claude, Gemini & DeepSeek
    12. Day 3 - Multi-LLM API Integration Comparing OpenAI, Anthropic & Other Models
    13. Day 3 - Comparing LLM APIs Using OpenAI Client Library with Claude, Gemini & ++
    14. Day 3 - Multi-Model Orchestration Creating a System to Evaluate AI Responses
    15. Day 3 - Connecting Agentic Patterns to Tool Use Essential AI Building Blocks
    16. Day 4 - Comparing AI Agent Frameworks Simplicity vs Power in LLM Orchestration
    17. Day 4 - Resources vs. Tools Two Ways to Enhance LLM Capabilities in Agentic AI
    18. Day 4 - Build a Web Chatbot That Acts Like You Using Gradio & OpenAI
    19. Day 4 - Using Gemini to Evaluate GPT-4 Responses A Multi-LLM Pipeline
    20. Day 4 - Building Agentic LLM Workflows Resources, Tools & Structured Outputs
    21. Day 5 - Building Your Career Alter Ego LLM Function Calling with Push Alerts
    22. Day 5 - LLM Tool Calls Demystified How to Process and Execute Function Requests
    23. Day 5- Building AI Assistants Implementing Tools for Handling Unknown Questions
    24. Day 5 - Creating & Deploying an AI Agent From Chat Loop to HuggingFace Spaces
    25. Day 5 - Deploying Career Conversation Chatbots to Gradio
    26. Day 5 - Foundation Week Wrap-up Building Complete AI Agents with APIs & Tools
    27. Day 5 [Extra] - Building Your First Agent Loop with OpenAI Tools from Scratch
    2. Section 2 - Week 2
    28. Day 1 - Understanding Async Python The Foundation for OpenAI Agents SDK
    29. Day 1 - OpenAI Agents SDK Fundamentals Creating, Tracing, and Running Agents
    30. Day 1 - Introduction to Agent, Runner, and Trace Classes in OpenAI Agents SDK
    31. Day 1 - Vibe Coding 5 Essential Tips for Efficient Code Generation with LLMs
    32. Day 1 - OpenAI Agents SDK Understanding Core Concepts for AI Development
    33. Day 2 - Build AI Sales Agents with SendGrid Tools & Collaboration in Agent SDK
    34. Day 2 - Concurrent LLM Calls Implementing Asyncio for Parallel Agent Execution
    35. Day 2 - Converting Agents into Tools Building Hierarchical AI Systems
    36. Day 2 - Agent Control Flow When to Use Handoffs vs. Agents as Tools
    37. Day 2 - From Function Calls to Agent Autonomy Sales Automation with OpenAI SDK
    38. Day 2 - Agentic AI for Business Creating Interactive Sales Outreach Tools
    39. Day 3- Multi-Model Integration Using Gemini, DeepSeek & Groq with OpenAI Agents
    40. Day 3 - Implementing Guardrails & Structured Outputs for Robust AI Agent Systems
    41. Day 3- AI Safety in Practice Implementing Guardrails for LLM Agent Applications
    42. Day 4 - Building Deep Research Agents Implementing OpenAI's Web Search Tool
    43. Day 4 - Building a Planner Agent Using Structured Outputs with Pydantic in AI
    44. Day 4 - Building an End-to-End Research Pipeline with GPT-4 Agents & Async Tasks
    45. Day 4 - Building a Deep Research Agent Parallel Searches with AsyncIO
    46. Day 5 - Building a Modular AI Research System with Gradio UI Implementation
    47. Day 5 - Deep Research App Gradio to Visualize & Monitor Autonomous AI Agents
    48. Day 5 - Deploying Smart Research Agents with Gradio and HuggingFace Spaces
    3. Section 3 - Week 3
    49. Day 1 - Crew AI Framework Creating Collaborative AI Agent Teams
    50. Day 1 - Crew AI Framework Explained Agents, Tasks & Processing Modes Tutorial
    51. Day 1 - Crew AI & LightLLM Flexible Framework for Integrating Multiple LLMs
    52. Day 1 - Crew AI Tutorial Setting Up a Debate Project with GPT-4o mini
    53. Day 1 - How to Create an AI Debate System Using Crew AI and Multiple LLMs
    54. Day 1 - Building AI Debate Systems with CrewAI Compare Different LLMs
    55. Day 2 - Building Crew AI Projects Tools, Context & Google Search Integration
    56. Day 2 - Building Multi-Agent Financial Research Systems with Crew.ai
    57. Day 2- Enhancing AI Agents with Web Search Solving the Knowledge Cutoff Problem
    58. Day 3 - Building a Crew AI Stock Picker Multi-Agent System for Investments
    59. Day 3 - Implementing Pydantic Outputs in Crew AI Stock Picker Agent Tutorial
    60. Day 3 - Custom Tool Development for Crew AI JSON Schema & Push Notifications
    61. Day 4 - Crew AI Memory Vector Storage & SQL Implementation for AI Agents
    62. Day 4 - Crew AI for Coding Tasks Agents That Generate & Run Python Code
    63. Day 4 - Create a Python-Writing AI Agent Practical Implementation with Crew AI
    64. Day 5 - Building AI Teams Configure Crew AI for Collaborative Development
    65. Day 5 - Collaborative AI Agent Development for a Stock Trading Framework
    66. Day 5 - Building a Trading Application Using GPT-4o & Claude
    67. Day 5 - From Single Modules to Complete Systems Advanced CrewAI Techniques
    4. Section 4 - Week 4
    68. Day 1 - LangGraph Explained Graph-Based Architecture for Robust AI Agents
    69. Day 1 - LangGraph Explained Framework, Studio, and Platform Components Compared
    70. Day 1 - LangGraph Theory Core Components for Building Advanced Agent Systems
    71. Day 2 - LangGraph Deep Dive Managing State in Graph-Based Agent Workflows
    72. Day 2 - Mastering LangGraph How to Define State Objects & Use Reducers
    73. Day 2 - LangGraph Fundamentals Creating Nodes, Edges & Workflows Step-by-Step
    74. Day 2 - LangGraph Tutorial Building an OpenAI Chatbot with Graph Structures
    75. Day 3 - LangGraph Advanced Tutorial Super Steps & Checkpointing Explained
    76. Day 3 - Setting Up Langsmith & Creating Custom Tools for LangGraph Applications
    77. Day 3 - LangGraph Tool Calling Working with Conditional Edges & Tool Nodes
    78. Day 3 - LangGraph Checkpointing How to Maintain Memory Between Conversations
    79. Day 3 - Building Persistent AI Memory with SQLite LangGraph State Management
    80. Day 4 - Playwright Integration with LangGraph Creating Web-Browsing AI Agents
    81. Day 4 - Create AI Web Assistants Playwright, LangChain & Gradio Implementation
    82. Day 4 - LLM Evaluator Agents Creating Feedback Loops with Structured Outputs
    83. Day 4- Creating LLM Feedback Loops Worker-Evaluator Implementation in LangGraph
    84. Day 4 - Building an AI Sidekick Using LangGraph, Gradio & Browser Automation
    85. Day 5 - Agentic AI Add Web Search, File System & Python REPL to Your Assistant
    86. Day 5 - LangChain Tool Integration Building a Powerful AI Sidekick from Scratch
    87. Day 5 - Creating AI Workflows Graph Builders & Node Communication Techniques
    88. Day 5 - Creating Isolated User Sessions in Gradio Apps Using State Management
    89. Day 5 - Inside AI Feedback Loops Seeing How AI Evaluates & Corrects Errors
    90. Day 5 - AI Assistant Upgrades Memory, Clarifying Questions & Custom Tools
    5. Section 5 - Week 5
    91. Day 1 - Microsoft Autogen 0.5.1 AI Agent Framework Explained for Beginners
    92. Day 1 - AutoGen vs Other Agent Frameworks Features & Components Compared
    93. Day 1 - AutoGen Agent Chat Tutorial Creating Tools and Database Integration
    94. Day 1 - Essential AI Components Models, Messages & Agents Explained
    95. Day 2 - Advanced Autogen Agent Chat Multimodal Features & Structured Outputs
    96. Day 2 - Implementing Primary and Evaluator Agents in AutoGen with Langchain
    97. Day 2 - Headless Web Scraping Tutorial MCP Server Fetch Integration in AutoGen
    98. Day 3 - AutoGen Core The Backbone of Distributed Agent Communications
    99. Day 3 - Agent Communication in Autogen Core Message Handlers & Dispatching
    100. Day 3 - AutoGenCore Agent Registration and Message Handling Practical Examples
    101. Day 3 - AutoGenCore Standalone Agents Rock Paper Scissors with GPT-4o & Llama
    102. Day 4 - Autogen Core Distributed Runtime Architecture & Components Explained
    103. Day 4 - Implementing Distributed AI Agents with AutoGen Core and gRPC Runtime
    104. Day 4 - Building Distributed Agent Systems AutoGen Cross-Process Communication
    105. Day 5 - Creating Autonomous Agents That Write & Deploy Other Agents in AutoGen
    106. Day 5 - Implementing Agent-to-Agent Messaging with Autogen Core & Templates
    107. Day 5 - Creating Autonomous AI Agents that Collaborate Using Async Python
    6. Section 6 - MCP
    108. Day 1 - Intro to MCP The USB-C of Agentic AI
    109. Day 1 - Understanding MCP Hosts, Clients, and Servers
    110. Day 1 - Using MCP Servers with OpenAI Agents SDK
    111. Day 1 - Exploring Node-Based MCP Servers & Tool Access
    112. Day 1 - Building an Agent That Uses Multiple MCP Servers
    113. Day 1 - MCP Marketplaces & Security Considerations
    114. Day 2 - Intro to Week 6 Day 2 Building Your Own MCP Server
    115. Day 2 - Wiring Business Logic into Your MCP Server
    116. Day 2 - Creating Client Code to Use Your MCP Server
    117. Day 2 - Wrap-Up Capabilities of Your Custom MCP Server
    118. Day 3 - Exploring Types of MCP Servers and Agent Memory
    119. Day 3 - Brave Search API MCP Server Calling the Web
    120. Day 3 - Integrating Polygon API for Stock Market Data
    121. Day 3 - Advanced Market Tools Using Paid Polygon Plan
    122. Day 4 - What’s Next Launching Our Agent Trading Floor
    123. Day 4 - Viewing the User Interface for Trading Activity
    124. Day 4 - How Trading Agents Operate and Make Decisions
    125. Day 4 - Portfolio Management with Four Autonomous Agents
    126. Day 5 - Which Agent Framework Should You Pick_
    127. Day 5 - Key Settings and Launching the Trading System
    128. Day 5 - Advice for Selecting Agentic Frameworks
    129. Day 5 - 10 Essential Lessons for Building Agent Solutions
    130. Day 5 - Course Recap and Final Goodbye – Keep Building!
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    Course information

    AI Engineer Agentic Track: The Complete Agent & MCP Course

    Enrolment on payment
    • Teacher: Sachin Nandha Sabarish J
    Skill Level: Advanced

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