Course curriculum

    1. Deep Neural Networks and Tools

    2. Embeddings

    3. Convolutional Neural Networks (CNN)

    4. Recurrent Neural Networks

    5. BERT (Bidirectional Encoder Representations from Transformers)

    1. Transformer Architecture

    2. The Attention Mechanism (before Transformers)

    3. The RNN Encoder-Decoder Architecture

    4. Seq2Seq models and LLMs

    5. How LLMs Generate Text

      FREE PREVIEW

    6. ChatGPT

    7. Pretraining an LLM

    1. What is RAG (RetrievalAugmented Generation)?

    2. Applications of RAGs

    3. Fine-tuning LLM's using RAG

    4. Vector Databses

    5. Semantic Embeddings

    6. Efficient Storage and Retrieval

    7. Integration with Generative Models

    1. Introduction to Diffusion Models

    2. Latent Diffusion

    3. Stable Diffusion

    4. Training Diffusion Models

    5. Fine-tuning Diffusion Models

    1. Week 1: Text Summarizer

    2. Wee 2: Fine-tuning a LLM model

    3. Week 3: Build a custom Chatbot

    4. Week 4: Build a simple text to image tool

About this course

  • $1,499.00
  • 28 lessons
  • 0 hours of video content


Course Information

Contents
 About 20 hours of  video lectures & 8 hours of assignment review 
Instructor
 Various FAANG+ instructors
Dates
 Jun. 2, 2024 - Jun. 23, 2024

Online Sessions

 Every Sunday 
8:30 am - 1:30 pm PST
Online Assignment Review
 Every Wednesday
6:00 pm - 8:00 pm PST
Prerequisite High-level understanding of machine learning process and techniques, and exposure to Python

Unlock the potential of generative AI in this comprehensive course. Go deep into its current applications, from text generation to conditional control models, and explore how it's transforming industries today. Discover its future implications, from enhancing virtual assistants to revolutionizing creative industries like art and music.

Generative AI holds immense potential. As technology continues to evolve, it promises to redefine creativity and problem-solving. Imagine AI systems capable of generating novel ideas, designs, and solutions, pushing the boundaries of innovation across domains.

Equip yourself with the knowledge and skills needed to stay ahead in the rapidly evolving landscape of artificial intelligence. Join a community of learners passionate about exploring the limits of AI and shaping the future of technology.

This course empowers your career by equipping you with desired skills. Learn to harness Generative AI's power to address modern challenges and stay ahead of emerging trends. Boost your expertise and position yourself as a leader in the AI-powered future.

This intensive 4-week course provides students with the essential skills to navigate the latest advancements in AI and machine learning. Through a blend of theoretical foundations and hands-on tutorials, participants gain a comprehensive understanding of key concepts. From fundamental principles to practical applications, this program equips learners with the tools needed to achieve in today's dynamic AI landscape. This course covers the following topics:

  • Deep learning overview


  • LLM and Transformers


  • Using RAGs to improve context and relevance in GenAI


  • Automatic data vectorization using Vector Databases


  • Diffusion model architecture, training, and applications


Hands-on tutorial on building interesting applications based on GenAI

Led by experienced instructors expert in developing scalable systems with GenAI, this course focuses on independent problem-solving, idea exchange, and constructive feedback. Participants will acquire the skills necessary to excel and stand out in a competitive environment.



Build a text summarizer

Learn how to user BERT to build a text summarizer in tow interesting modes, abstractive summarizer and extractive summarizer.

Build a Custom Chatbot

Learn how to use Google Gemeni to build a custom Chatbot

Image Generation

Learn how to use Gemeni and Imagen to generate and edit high quality images.

Discover your potential, starting today

Enroll today

Frequently Asked Questions

  • Who is the audience of this course?

    Machine learning engineers, software engineers, data scientists, data engineers, and anyone with some basic understanding of Machine Learning, and preliminary knowledge of Python can find this course useful.

  • Why should I take this course?

    To gain insights into the the forefront of AI, develop skills to build novel applications using text, image, audio, enhance the job prospects, and exploit the growing opportunities that GenAI creates in intersecting fields.

  • I don't know Python at all, or I am totally fresh to ML. Can I still take this course.

    While the ML and programming pre-requisite for this course is not intense, we recommend building that knowledge base before enrolling in this course.

  • How long will I have access to the course materials?

    The materials are available to enrolled students for 1 year.

  • Is there a specific schedule for completing the course?

    The course is progressed on a specific schedule, and students are encouraged to follow that. However, all the sessions are recorded and available for self-pace, offline review, and instructors answer questions in internal platform discord channels.

  • Is there a community for connecting to other learners and instructors?

    Yes, there is a discover channel where you can interact with fellow students, instructors, ask questions, and participate in discussions related to the course topics.

  • Can I get a refund if I'm not satisfied with the course?

    We offer a 5-day money-back guarantee. If you're not satisfied with the course for any reason, simply contact us within 5 days of course start date for a full refund.

  • Are materials immediately available to me after course purchase?

    This course is offered in online session per suggested schedule (4 week of online sessions on Sundays and tutorials on Wednesdays). While some sample written content might be available in course website, the rest of the content is uploaded within 24 hours after each session.