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Online Course Agentic AI: From Prompting to Autonomous Intelligence
Science And Technology

Agentic AI: From Prompting to Autonomous Intelligence

1.From Prompts to Power: Learn how AI evolves from simple prompt-based responses to intelligent, goal-driven autonomous agents. 2.Think Like an AI Agent: Understand core concepts—reasoning, planning, memory, and decision-making in 3.Agentic AI systems. Build Your Own AI Agent: Hands-on exposure to designing and deploying basic autonomous AI agents using modern tools and frameworks.
Course ModeHybrid
Duration2 Weeks
Starts27 Jul 2026
Ends11 Aug 2026
Course Fee
₹1,000 /-
Registration Closed
About The Course

Overview

This course introduces learners to the evolving field of Agentic AI, focusing on the transition from simple prompt-based interactions to intelligent systems capable of autonomous decision-making. It begins with the fundamentals of artificial intelligence and large language models, followed by practical techniques in prompt engineering.

The course further explores how AI agents are designed, including their core components such as perception, memory, reasoning, and action

Learning Goals

Course Outcomes

1.Understand the fundamental concepts of Agentic AI, including the evolution from traditional prompting to autonomous decision-making systems.

2.Apply effective prompt engineering techniques to guide AI models toward desired outputs in real-world scenarios.

3.Demonstrate the ability to integrate AI agents with APIs, tools, and external data sources for building intelligent workflows.

4.
Develop critical thinking on the future of AI, focusing on the transition from human-in-the-loop systems to fully autonomous intelligence.

 

Curriculum

Course / Modules

???? Module 1: Introduction to AI & Agentic AI (Foundation)

  • Evolution of Artificial Intelligence
  • From rule-based systems to Generative AI
  • Concept of Agentic AI
  • Difference: Prompt-based AI vs Autonomous AI
  • Applications and current trends

Outcome: Understand the basics and need for Agentic AI

???? Module 2: Prompt Engineering & LLM Interaction

  • Basics of Large Language Models (LLMs)
  • Prompt engineering techniques (zero-shot, few-shot, chain-of-thought

Outcome: Ability to create optimized prompts for desired outputs

???? Module 3: Architecture of AI Agents

  • Components of AI agents:
    • Perception
    • Memory
    • Reasoning
    • Action
  • Types of agents (Reactive, Deliberative, Hybrid)

Outcome: Understand how intelligent agents are structured and operate

???? Module 4: Building Agentic Systems

  • Transition from prompt → agent
  • Tool usage and API integration
  • Multi-step reasoning and task execution

Outcome: Ability to design simple AI agents

???? Module 5: Autonomous Intelligence & Decision Making

  • Planning and goal decomposition
  • Autonomous task execution
  • Feedback loops and self-improvement
  • Multi-agent systems
  • Case studies (automation, assistants, robotics)

Outcome: Understand how AI systems act autonomously

 

 

 

Learn From Experts

Our Trainers

Ratnam Sachan
Ratnam Sachan
AI Product Manager with 3+ years building and shipping LLM-powered products across BFSI and creator-economy platforms. Shipped production AI voice age...
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Frequently Asked Questions

1. What is Agentic AI?

2. How is Agentic AI different from prompt-based AI?

3. What are AI agents?

4. What are the key components of an AI agent?

5. What is prompt engineering?

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Contact

Name: Prof. Manoj Shinde

Mobile No: 9827629872