Overview
- To introduce fundamental concepts of Artificial Intelligence and Machine Learning
- To provide knowledge about Generative AI and its tools
- To develop prompt engineering skills
- To understand Agentic AI and intelligent systems
- To enable students to apply AI in real-world scenarios
Our Trainers
Rohit Kukreja
1. Senior Developer
2. Indeyes Pvt. Ltd.
Modules
|
Day 1 |
2 hrs |
Session 1 |
Introduction to AI |
Rohit Kukreja |
|
Day 2 |
2 hrs |
Session 2 |
ML vs AI |
Rohit Kukreja |
|
Day 3 |
2 hrs |
Session 3 |
Types of ML |
Rohit Kukreja |
|
Day 4 |
2 hrs |
Session 4 |
NLP Basics |
Rohit Kukreja |
|
Day 5 |
2 hrs |
Session 5 |
Chatbots |
Rohit Kukreja |
|
Day 6 |
2 hrs |
Session 6 |
Generative AI |
Rohit Kukreja |
|
Day 7 |
2 hrs |
Session 7 |
AI Tools |
Rohit Kukreja |
|
Day 8 |
2 hrs |
Session 8 |
Prompt Engineering |
Rohit Kukreja |
|
Day 9 |
2 hrs |
Session 9 |
Agentic AI |
Rohit Kukreja |
|
Day 10 |
2 hrs |
Session 10 |
AI Agents |
Rohit Kukreja |
|
Day 11 |
2 hrs |
Session 11 |
Use Cases |
Rohit Kukreja |
|
Day 12 |
2 hrs |
Session 12 |
GenAI vs Agentic AI |
Rohit Kukreja |
Outcomes
After completing the course, students will be able to:
- Understand AI, ML, NLP, and Generative AI concepts.
- Differentiate between Generative AI and Agentic AI.
- Use AI tools for content creation and automation.
- Write effective prompts for better AI outputs.
- Build basic AI-based solutions (chatbots, automation tools).
- Apply AI knowledge in academics and projects.
