Professional Agentic AI Engineer Program

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About Course

Build AI agents like AutoGPT, ChatGPT plugins, AI assistants etc…

The Agentic AI Professional Program is designed to equip learners with the skills required to build intelligent, autonomous AI systems that can reason, plan, and act to solve real-world problems. This program focuses on the emerging field of agent-based AI, where large language models are combined with tools, memory, and decision-making capabilities to create dynamic and interactive systems.

Learners will gain hands-on experience with modern frameworks and tools used to build AI agents, including orchestration, tool usage, and retrieval-based systems. The program emphasizes practical implementation, enabling learners to design and develop AI agents capable of automating workflows, interacting with data, and performing complex tasks across domains.

By the end of this program, learners will be capable of building agentic AI applications, integrating LLMs with external tools, and developing intelligent systems that operate in real-world environments.

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What Will You Learn?

  • Understand the fundamentals of Agentic AI and autonomous systems
  • Learn how AI agents differ from traditional AI and ML systems
  • Build AI agents using modern frameworks and tools
  • Work with LLMs to enable reasoning, planning, and execution
  • Implement tool usage, reflection, and planning patterns
  • Build Retrieval-Augmented Generation (RAG) systems
  • Work with vector databases for intelligent data retrieval
  • Develop real-world AI agent applications across industries
  • Use AI tools to accelerate development and experimentation
  • Prepare for roles in AI engineering and intelligent automation

Course Content

Module 1: Introduction to Agentic AI
This module introduces the concept of agentic AI, focusing on how autonomous systems are designed to perform tasks independently. Learners will understand the characteristics, components, and real-world applications of agent-based systems, building a strong conceptual foundation.

Module 2: Understanding AI Agents
This module explores how AI agents differ from traditional AI models and systems. Learners will understand how agents perceive, reason, and act, and how they are used in automation and decision-making scenarios.

Module 3: Foundations of Agentic AI Architectures
This module focuses on the architectures and frameworks used to build agentic systems. Learners will understand how components such as memory, tools, and planning mechanisms work together to create intelligent agents.

Module 4: Large Language Models in Agentic AI
This module introduces large language models and their role in powering agentic AI systems. Learners will understand how LLMs enable reasoning, communication, and decision-making within agents.

Module 5: Practical Tools and Frameworks
This module provides hands-on experience with tools and frameworks used for building AI agents, including LangChain, LangGraph, and AutoGen. Learners will understand how to orchestrate workflows and integrate tools into agent systems.

Module 6: Building Agentic AI Systems
This module focuses on designing and developing AI agents using patterns such as tool usage, reflection, and planning. Learners will build functional agent systems capable of solving real-world problems.

Module 7: Retrieval-Augmented Generation and Vector Databases
This module introduces retrieval-augmented generation and the use of vector databases for enhancing AI agents. Learners will understand how to enable agents to access external knowledge and provide more accurate and context-aware responses.

Module 8: Real-world Applications of Agentic AI
This module explores how agentic AI is applied across industries such as business, healthcare, and education. Learners will work on real-world use cases and understand how to design solutions for different domains.

Module 9: Job Readiness & Career Acceleration
This module includes comprehensive career support, including resume building, LinkedIn optimization, portfolio development, and interview preparation. Learners will also gain insights into industry workflows and expectations. AI tools are used to enhance resumes, simulate interviews, and improve overall career readiness.

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