Course curriculum

  • 1
    Module 1 : AI Agents - Introduction
  • 2
    Module 2 : Agentic AI Paradigm
  • 3
    Module 3 : Agent Capabilities
  • 4
    Module 4 : Automation and Workflow Optimization
  • 5
    Module 5 : Frameworks
  • 6
    Module 6 : Post Deployment
  • 7
    Module 7 : AI Agents Security
  • 8
    Module 8 : Ethical Design of AI Agents
  • 9
    Module 9 : Technology Stack
  • 10
    Module 10 : Use Cases
  • 11
    Module 11 : Step-by-Step Building AI Agents
  • 12
    Module 12 : Capstone Project
  • Definition of AI Agents Importance of AI Agents in Modern AI Real-World Applications How AI Agents Work Types of Environments for AI Agents Evolution of AI Agents
  • Introduction to the Agentic AI Paradigm Key Characteristics of Agentic AI Core Components of Agentic AI Systems Comparison with Other AI Paradigms Architectures and Frameworks in Agentic AI Challenges in Developing Agentic AI Systems Economic Impact
  • Perception and Recognition Capibility Decision-Making and Problem Solving Capibility Learning and Adaptation Capibility Action and Interaction Capibility Multimodal Functionality in AI Agents Tools and Frameworks for AI Agents Data Processing Capabilities Retrieval-Augmented Generation (RAGs) Database Integration for AI Agents (Examples: Supabase, Firebase, MongoDB, and PostgreSQL) Advanced Agent Capabilities (Adaptive and Self-Learning Agents, Collaboration in Multi-Agent Systems (MAS), Long-Term Memory and Context Awareness)
  • Introduction to AI Automation and Workflow Optimization Core Components of AI-Driven Workflow Optimization Types of Workflows Optimized by AI Agents and use case applications Automation Techniques Leveraged by AI Agents Tools and Platforms for AI Workflow Automation (e.g., Zapier, UiPath, Blue Prism, n8n, Langgraph, pydantic) Advanced Capabilities in AI Automation (Dynamic Task Scheduling and Context-Aware Automation, Proactive Agents, Adaptive Workflows)
  • Introduction Part 1 Introduction Part 2 HuggingFace 1 HuggingFace 2 Ollama+DeepSeekV3 - 1 Ollama+DeepSeekV3 - 2 AutoGen - 1 AutoGen - 2 LangChain - 1 LangChain - 2 CrewAI - 1 CrewAI - 2 LangGraph - 1 LangGraph - 2 Pydantic AI - 1 Pydantic AI - 2 AutoGPT Comparison of frameworks
  • Monitoring, Evaluation, and Debugging AgentBench AgentOps LangSmith Langfuse Logfire in Pydantic AI Metrics Monitoring Demo
  • Introduction to AI Agents Security Vulnerabilities & Mitigation Guardrails Tools
  • Ethical Design of AI Agents Addressing Challenges
  • Technology Stack for Building Agentic AI Systems & Architecture
  • Siemens AG Mayo Clinic JPMorgan Chase Amazon BP (British Petroleum) Pearson Netflix
  • Introduction Step 1: Plan the Agent Step 2: Prototype the Agent Step 3: Set Up the Database Step 4: Move to Python Step 5: Create an Agent UI Step 6: Test Your Agent Step 7: Monitoring Step 8: Deploy the Agent Step 9: Agent Evaluation Step 10: Advanced Activities
  • Smart Supply Chain Management System