Unlock the future of artificial intelligence with our AI Agent Course! Dive into the world of Agentic AI and learn how to create intelligent systems that think, adapt, and act autonomously.
Curriculum
- 15 Sections
- 75 Lessons
- Lifetime
Expand all sectionsCollapse all sections
- Module 01 - Foundation of Agentic AIIn this Module we are covering, Introduction to AI Agents, Core Concepts (Autonomy, Reactivity, and Adaptability), Real-World Applications, Difference Between AI Agents surpass Traditional RPA.5
- Module 02 - Programming BasicsIn this Module, We will Learn Python Programming needed to built AI Agent8
- Module 03 - Understanding LLMs as the Brain of AgentsIn this Module, we will learn Large Language Models (LLMs) and mechanism of LLMs5
- Module 04 - Building Converaation AgentIn this Module, We are going to build a Conversational Agent4
- Module 05 - Agent Architecture & FrameworksWe will learn Architecture and Frameworks of AI Agents.6
- Module 06 - Planning, Reflection, and EvaluationIn this Module, we will see the Planning, Reflection and Evaluation of AI Agent syste,m.5
- Module 07 - Multi-Agent SystemsIn this Module, We will learn Multi-Agent Systems.8
- 7.1Introduction to Multi-Agent Systems
- 7.2Core concepts & Definitions in Multi-Agent Systems
- 7.3Why Multi-Agent Systems matter
- 7.4Architectural Patterns of Multi-Agent System
- 7.5Agent Characteristics
- 7.6Communication and Coordination Mechanisms
- 7.7State & Data Management
- 7.8Learning & Adaption in Multi-Agent System
- Module 08 - AI Agent ProtocolsIn this Module, We will learn how multi-agents communicate.7
- Module 09 - Model Context Protocol - MCPIn this module, we will learn one of the best Protocol, it's MCP5
- Module 10 - Reinforcement Learning AgentsIn this Module, We will learn how the Agent Learn from Environment using Machine Learning Algorithm names Reinforcement Learning (RL).5
- Module 11 - Guardrails, Ethics & Compliance0
- Module 12 - Deploying and Integrating AI AgentsIn this Module, We Will learn how to Deploy a AI Agent.4
- Module 13 - AI Agent Evaluation FrameworksDeployment Options8
- Module 14 - Agentic SDLC & Human–AI Collaboration7
- 14.1AI Agent Progression Framework (Level 1 → Level 5)
- 14.2Introduction to Agentic SDLC
- 14.3Mapping SDLC Phases to Human–AI Roles
- 14.46 Stages of AI Agent Development (adapted from this infographic)
- 14.5Multi-Agent Roles in SDLC
- 14.6Comparing with Traditional SDLC
- 14.7Case Study: End-to-End AI Agent Development
- Module 15 - Capstone Projects0
Instructor
