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Not another copy-paste Generative AI course for senior IT professionals
A bunch of folks from IITs and professionals from Meta and Microsoft have reimagined AI education and designed a Generative AI course for senior IT professionals.
The course is
most up-to-date
industry-relevant
management focussed
practical
short
Who will benefit most from this course?
Senior IT Professionals, such as Tech Product Managers, Senior Engineers, Tech Entrepreneurs, CTOs, and DevOps professionals, who want to learn AI + LLM quickly and easily.
Course Curriculum – Generative AI for senior IT professionals
Course Overview – Labs and Practical Applications
You will get access to the following Hands-on labs and you will also make the following working AI/ ML/ LLM Applications and tools
Hands-On Labs
Building LLM Applications Lab
Promot Engineering for Developers Lab
LangChain Lab
Function calling Lab
Monitoring Langchain application with Langsmith
RAG Lab
Fine Tuning LLama2 using Gradient
AI Nutrionist using Gemini Pro with Streamlit
Chat GPT + Google Search
Deploying LLMs
Multi AI Agent (debating) using Autogen
Practical AI Tools/ Applications that you will build
AI video Generation
Image Generation using Open Source models on Huggingface
Calling any OpenSource LLMs
LLM Chatbot
Calling Open AI models using API
YouTube video Summarization Tool
Monitoring LLM using LangSmith
Chat with your Own PDF
LLM Chatbot for your proprietary data using the Google Cloud Platform
Fine-tune Gemma models in Keras using LoRA
AI Voice Assistant App using Multimodal LLM “Llava” and Whisper
Multi AI Agent using open-sourced LLM
Evaluation of LLMs using Giskard
RAG on Excel sheet
Course Duration -Generative AI for senior IT professionals
Total (Classroom coaching):
Theory – 16 hours
Hands-on – 48 hours
It’s a short program but a rigorous one
Do you provide OpenAI credits?
Yes, we are affiliated with Microsoft for Startup Founders Hub and we have received OpenAI’s credits. We pass these credits to our learners to do practical exercises.
Course Mode
Instructor-led Interactive Online Classes.
Pre-requisite
Python (the ability to read code in Python)
(Most of the code in the Lab and Practical applications are already written)
