6 Weeks
·Cohort-based Course
A hands-on course to take you from zero to almost hero in Generative AI - LLMs, VLMs, RAG, Multimodal, fine-tuning, and prompt engineering
This course is popular
6 people enrolled last week.
6 Weeks
·Cohort-based Course
A hands-on course to take you from zero to almost hero in Generative AI - LLMs, VLMs, RAG, Multimodal, fine-tuning, and prompt engineering
This course is popular
6 people enrolled last week.
Experience includes...
Course overview
The landscape can feel overwhelming when you're ready to move beyond basic interfaces and gain a deeper understanding of GenAI. You know you want to build a solid understanding for working with these powerful models, but it's hard to know where to start and how to progress systematically.
This course provides the structured path you need.
You won't have to piece together scattered tutorials or get lost in technical documentation. I'll help you build a solid foundation for understanding and working with GenAI models.
You'll develop an intuitive understanding of how these models work and how to control them effectively.
You'll understand how to craft effective prompts, implement RAG systems (both with high-level frameworks and lower-level tools like Instructor and Outlines), and properly evaluate model outputs.
The course focuses on practical, hands-on application while giving you enough theoretical understanding to make informed decisions.
You'll learn the different patterns for using GenAI models, how to evaluate trade-offs, and how to choose the right tools for your needs.
By the end of this course, you will understand the underlying concepts that will serve you as technology advances.
01
Data Scientists and Machine Learning Engineers seeking to level up their classical machine learning or deep learning skillset for GenAI
02
Data Analysts with Python experience looking to gain hands-on experience working with GenAI
03
Data Engineers who want to take their skillset to the next level by gaining familiarity working with GenAI models
04
Product managers with a technical side that want an applied introduction to GenAI so they understand how this technology works
A mix of theory and application
You'll gain an intuition for how GenAI models work via lectures and hands-on coding. I promise to keep the math light instead focus on giving you an overview of the GenAI landscape and overcoming the challenges of working GenAI models.
Gain proficiency working with Large Language Models and Vision Language Models
You'll get hands-on experience working with GenAI models via API provides. You'll also learn to work with local models via HuggingFace and ModelScope. By the end of the course you'll be up to speed on the landscape of GenAI models.
Learn the tools of the trade
You'll gain hands-on experience working with tools like LangChain, LlamaIndex, and others. Learn how to access models via frameworks like AISuite and LiteLLM. You'll also learn about frameworks for observability. And, you'll learn about TensorRT-LLM and VLLM.
Understand and apply patterns of working with GenAI models
You'll gain hands-on experience with Prompt Engineering, RAG, multimodal RAG, Agents, Fine-tuning models. You'll come away with a solid understanding of when to use the appropriate pattern.
Develop an evaluation first mindset
You'll understand the importance of evaluating model outputs, everything from "vibe-checking" to automated evaluation. You'll learn about common benchmarks, what they measure, and how to create your own evaluation framework.
14 interactive live sessions
Lifetime access to course materials
In-depth lessons
Direct access to instructor
Projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Applied Generative AI for Data Professionals
Jan
6
Session 1: Introduction to Generative AI
Jan
8
Session 2: Fundamentals of Working with LLMs
Jan
11
Jan
13
Session 3: LLM Tooling Landscape
Jan
15
Session 4: Practical Tooling Applications
Jan
18
Jan
20
Session 5: Prompt Engineering and RAG
Jan
22
Session 6: Agents and Fine-tuning
Jan
25
Jan
27
Session 7: Vision Language Models
Jan
29
Session 8: Multimodal RAG
Feb
1
Feb
3
Session 9: LLM Evaluation Techniques (Feb 10th)
Feb
5
Session 10: Evaluation of VLM Models (Feb 12th)
Muhammad Ehsan
Marharyta Lanhenbakh
Neti Sheth
Alexander Cheplev
Aleksey Morozov
Amy Birdee
Alena Nazarava
Bhagirath Parmar
Rushikesh (Rushi) Maheshwari
Anup Chittimalla
Vasanth Thirugnanam
Sai kiran Suvvari
Yomna Alfadil
Warren Simmons
Ivana Hybenová
Himanshu Goswami
Chhavi Arora
M K Junayed Parves
Francesco Rinarelli
Priyanshi Shah
Alan Nanafosu
Shubham Bhatt
Habbee Lo
Elizabeth Ho
Robin King
Tri Minh Duong
Naresh Reddy M
Desislava Hristova
Amrita Hotwani
Mark Carthon III, M.Sc
Srushti Rashmi Shirish
Venkata Lavanya Marella
Revathi Kanduri
Jia Wu
Ashoordin Ashoormaram
Varun Nair
Loveleen Bangar
Evangelos (Angelo) Tzimopoulos
Hacker-in-Residence and Machine Learning Engineer
As a hacker-in-residence and machine learning engineer, I spend my days building with deep learning and generative AI.
I'm particularly fascinated by RAG, Agents, and Multimodal AI, and love exploring their practical applications.
My journey in deep learning has taken me through several pioneering AI startups - from CometML to Deci AI (now part of NVIDIA), and currently at Voxel51.
When I'm not hacking with AI, I'm creating courses for LinkedIn Learning and Coursera, sharing what I've learned to help others fast moving field of AI.
Join an upcoming cohort
Cohort 1
$498
Dates
Payment Deadline
4 hours per week
Mondays & Wednesdays
11:00am - 12:30pm EST
Each lesson will be LIVE, comprising 45 minutes of lecture followed by 45 minutes of coding.
January 6, 2025
First class kicks off!
Office Hours
1 hours per week
Office hours take place every Saturday at 11am EST. This is a chance for you to ask questions, showcase your work, and get general advice.
Community
You'll be invited to a Discord server where you can interact with fellow learners and directly ping me with any questions.
Sign up to be the first to know about course updates.
Join an upcoming cohort
Cohort 1
$498
Dates
Payment Deadline