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The most up-to-date, practical, relevant, and short AI + LLM Course and Coaching
Online coaching on Artificial Intelligence, Generative AI, Large Language Models, AI Agents, and more to build a career in the AI domain or implement AI in your business.
Who will benefit most from this course?
Senior IT Professionals like Tech Product Managers, Senior Engineers, Tech Entrepreneurs, CTOs, DevOps Professionals etc who want to learn AI + LLM quickly and easily.
Course Curriculum
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
Pandas Lab
Machine Learning Lab
Deep Learning Lab
Computer Vision Lab
NLP Lab
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
ML Classification model
Image Segmentation
Text-to-Voice
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
Apart from these coaching sessions, you must spend around 2-3 hours extra doing practical/hands-on exercises.
*Price would be extra on a pro-rata basis
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)
