Udemy

19 Generative AI Real Time Projects End to End

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  • 3,150 Students
  • Updated 10/2024
  • Certificate Available
4.1
(30 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
7 Hour(s) 20 Minute(s)
Language
English
Taught by
Boktiar Ahmed Bappy
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.1
(30 Ratings)

Course Overview

19 Generative AI Real Time Projects End to End

Master Generative AI with 20+ Real-World Projects: Build, Deploy & Scale End-to-End Solutions

Welcome to the ultimate hands-on course on Generative AI, where theory meets practice through a series of 20+ real-world projects! This course is meticulously crafted to help you master cutting-edge Generative AI models like GPT, GANs, Transformers, Variational Autoencoders, and more by building complete, end-to-end solutions from scratch.

This comprehensive course is designed to accommodate learners at different levels, making it ideal for both beginners and experienced AI professionals. Whether you are new to the field or have some foundational knowledge, you’ll start with a solid introduction to the core concepts of Generative AI. From there, we’ll dive into advanced topics, ensuring that by the end, you’ll have a deep understanding of the intricacies of various models, their applications, and implementation techniques.

Throughout the course, you’ll work on projects spanning a wide range of domains, including natural language processing, image synthesis, video generation, code completion, music composition, and creative design. Each project is carefully structured to take you through every stage of the development process—from data collection and preprocessing to model building, optimization, and deployment strategies.

By following our step-by-step tutorials, you will gain hands-on experience in building real-world AI applications, creating a rich portfolio of projects that showcase your skills. You’ll also learn about best practices for model performance optimization, cloud deployment, and scaling solutions for various business needs. This course includes source codes, project files, quizzes, and interactive exercises to help reinforce your learning.

By the end, you’ll have the confidence and expertise to build, deploy, and scale state-of-the-art Generative AI solutions in diverse industries.

Course Content

  • 1 section(s)
  • 19 lecture(s)
  • Section 1 Projects

What You’ll Learn

  • Develop practical skills in building and deploying generative AI applications using LLM models.
  • Gain hands-on experience in training and fine-tuning LLM models using various datasets.
  • Create diverse applications leveraging the power of these LLM models.
  • End-to-end Projects Using LLM, VectorDB, Langchain, LlamaIndex, Flask, Streamlit, Chainlit and so on.
  • Gain hands-on experience in LLMOps
  • Master Google Vertex AI & AWS Bedrock for Generative AI Project Implementation


Reviews

  • M
    Mithiran balu
    5.0

    Got good idea overall. how to download model. data, tokenize, vectorize, data collater, TrainingArugements,Trainer, save model, save tokenizer, create pipeline, knowing metrices.... Some times english pronunciation is not clear-- Rouge pronounced as row.

  • A
    Al Amin
    1.0

    Stupid...Stupid... and stupid Course, Just waste of money.... First lecture he said , he already described lot of things. Where are those classes.

  • G
    Gourav kumar
    1.0

    this is very basic

  • A
    Al Hasib
    5.0

    Excellent.

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