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Generative AI Mastery With 15+ Real Time Projects
Rating: 4.4 out of 5(289 ratings)
6,667 students

Generative AI Mastery With 15+ Real Time Projects

A Comprehensive Guide to Building, Deploying, and Optimizing Generative AI using Langchain and Huggingface with project.
Created byBoktiar Ahmed Bappy
Last updated 10/2024
English

What you'll learn

  • Create generative AI systems using OpenAI, Retrieval-Augmented Generation (RAG), and Large Language Model (LLM) Agents.
  • Learn to create advanced generative AI applications leveraging the Langchain framework and Huggingface's state-of-the-art models.
  • Understand the architecture and design patterns for building robust generative AI systems.
  • Gain hands-on experience in deploying generative AI models to various environments, including cloud platforms and on-premise servers.
  • Explore different deployment strategies, ensuring scalability and reliability of AI applications.
  • Develop Retrieval-Augmented Generation (RAG) pipelines to enhance the performance and accuracy of generative models by integrating retrieval mechanisms.
  • Learn to seamlessly incorporate Huggingface's pre-trained models into Langchain applications, leveraging their powerful NLP capabilities.
  • Customize and fine-tune Huggingface models to fit specific application requirements and use cases.
  • Work on real-world projects that illustrate the application of generative AI in various domains, such as chatbots, RAG, and Content generation.

Course content

16 sections • 68 lectures • 20h 36m total length

  • Introduction of the Instructor1:33
  • Overview of the course & content11:55

    Master the fundamentals of generative AI, from text preprocessing and text embedding to large language models, vector databases, and prompt engineering, with 20+ end-to-end projects and deployment.

Requirements

  • You'll need a desktop computer running Windows, Mac, or Linux that is capable of supporting Anaconda 3 or later versions. The course will guide you through the installation of the required free software.
  • A basic understanding of coding or scripting is required.
  • At least high school level math skills will be required.

Description

Discover the limitless possibilities of Generative AI with our in-depth course, "Generative AI Mastery" This expertly designed program takes you on a journey from foundational principles to advanced techniques, offering a hands-on experience that equips you with the skills needed to excel in the world of Generative AI.

Starting with the basics, the course introduces core concepts, ensuring that even those with limited AI knowledge can quickly grasp the fundamentals. As you progress, you’ll delve into more complex topics, focusing on how to build, deploy, and optimize cutting-edge AI models. Using industry-leading tools such as Langchain and Huggingface, you'll learn to create robust AI solutions that can be applied to real-world scenarios.

The course is highly practical, giving you ample opportunities to work with Generative AI models firsthand. You’ll explore how to generate text, images, and other forms of content, while also mastering techniques for fine-tuning models to suit specific use cases. By the end of the course, you'll have built, optimized, and deployed AI models, gaining the confidence to integrate these technologies into your projects or professional work.

This course is perfect for AI enthusiasts, developers, data scientists, and professionals looking to transition into the field of Generative AI. Whether you’re just getting started or looking to enhance your existing AI knowledge, this course offers the tools and insights necessary to become proficient in one of the most transformative technologies of our time.

With a focus on practical applications and hands-on learning, the "Complete Generative AI Course with Langchain and Huggingface" will empower you to unlock the full potential of Generative AI and apply it effectively in various domains.

Who this course is for:

  • This course is highly beneficial for software developers or programmers looking to transition into the rewarding field of data science and machine learning.
  • Technologists curious about how deep learning really works
  • Data analysts in finance or other non-tech industries who want to move into the tech sector can use this course to learn how to analyze data using code rather than traditional tools. However, some prior coding or scripting experience is necessary for success.
  • If you have no prior coding or scripting experience, you should NOT take this course - yet. Go take an introductory Python course first.

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