Most up-to-date and relevant AI + LLM courses & coaching
AI + LLM Coaching for Students and IT professionals (0 – 10 years of exp.)
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)
Who is the teacher?
Nikhilesh Tayal – https://www.aimletc.com/about-me-nikhilesh-tayal/
LinkedIn – https://www.linkedin.com/in/nikhileshtayal/
Price
Check here – https://www.aimletc.com/ai-ml-etc-course-offerings-pricing/
More FAQs
Check – https://www.aimletc.com/faqs-ai-courses-for-senior-it-professionals/
For any further questions, please drop an email at nt(at)aimletc.com
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