AI courses and coaching exclusively for senior IT professionals, led by a Google Developer Expert (AI)
Why should I take this course?
Designed from first principles, not recycled slides
Continuously Updated
Production-focussed
No Maths & Stats
Short
Program Curriculum – Generative AI for senior IT professionals
Program Overview – Labs and Practical Applications
Hands-On Labs
- Building LLM Applications Lab
- Promot Engineering for Developers Lab
- LangChain Lab
- Function calling Lab
- Monitoring Langchain application with Langsmith
- Fine Tuning LLama2 using Gradient
- AI Nutrionist using Gemini Pro with Streamlit
- Chat GPT + Google Search
- Deploying LLMs
- Multi AI Agent (debating) using Autogen
- RAG Lab
Practical AI Tools/ Applications that you will build
- AI Video Generation
- Image Generation using Open Source models on Huggingface
- Calling any Open-Source LLMs
- LLM Chatbot
- Calling Open AI models using the API
- YouTube Video Summarization Tool
- Multilingual Text Summarization Tool
- Multimodality – Extracting information from invoice
- Chat with your Own PDF
- LLM Chatbot for your proprietary data using the Google Cloud Platform
- OpenAI + Google Search
- Multi AI Agent using open-sourced LLM
- Evaluation of LLMs using Giskard
- DSPy framework Demo
- RAG on Excel sheet
- Multi AI Agent for customer support automation
- Multi AI Agent System to Tailor Job Applications
- Delhi vs Mumbai – Multi AI Agent Debate using AutoGen.
- Two AI Agents doing Standup comedy
- AI Agent with self managing memory
- AI Customer Support Agent for Ecommerce business
Program Duration and Commitment
- Theory – 16 hours
- Hands-on – 45+ hours
- It’s a compact but intensive program
FAQs
Course Mode
Instructor-led Interactive Online Classes.
Pre-requisite
The prerequisite for the program is Python.
You should be comfortable reading and understanding Python code.
(Most of the code in the Lab and Practical applications are already written)
Who is the teacher?
Nikhilesh Tayal leads the program.
He is a Google Developer Expert (AI/ML), an IIT Kharagpur alumnus, a LinkedIn Learning instructor, and the author of AI Agents Without Jargon.
His work sits at the intersection of AI systems, engineering, and leadership, focused on how AI actually behaves in real-world production environments.
Learn more:
About the instructor: https://www.aimletc.com/about-me-nikhilesh-tayal/
LinkedIn: https://www.linkedin.com/in/nikhileshtayal/