Share it with your senior IT friends and colleagues
Reading Time: 2minutes
The most up-to-date, practical, relevant, and short AI + LLM Course and Coaching
Online coaching on Artificial Intelligence, Generative AI, Large Language Models and AI Agents to build a career in the AI domain or implement AI in your business.
Who will benefit most from this course?
Engineering students and IT Professionals with experience (up to 10 years) like Developers, Tech Entrepreneurs, DevOps Professionals, Data Engineers, ML engineers 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 using Gradient
Multi AI Agent using open-sourced LLM
Deploying LLM – Deep Infra
Deploying LLM – Replicate
Deploying LLM – Runpod
LM Scorer (Evaluation of LLMs)
Deploying on AWS Sagemaker
Deploying Langchain application with LangServe
Multi AI Agent Debate using AutoGen (Delhi vs Mumbai)
Langgraph – Intro Lab
DSPy framework demo
Small Language Models Lab
Quantize any LLM Lab
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
GPT4 – API calling
LLM Chatbot
Multi-lingual Text Summarization
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
ChatGPT + Google Search
LLM Medical Agent
Gradio Application
Streamlit Application using Gemini Pro
Evaluation of LLMs using Giskard
AI Voice Assistant App using Multimodal LLM “Llava” and Whisper
Multi Agent System to Tailor Job Applications
LangGraph -Multi AI Agent System for coding
Build a Web Crawler using Crawl4ai
RAG application using LlamaIndex
Course Duration
Total (Classroom coaching) – 36 hours
1-hour session per day
Weekend batch – 18 weeks
Weekday batch – 9-12 weeks
It’s a short program but a rigorous one
Apart from these coaching sessions, you must spend around 2-3 hours extra doing practical/hands-on exercises.
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 so they can 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)
