Udemy

Generative AI Mastery With 15+ Real Time Projects

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  • 6,214 名學生
  • 更新於 10/2024
4.6
(244 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
20 小時 36 分鐘
教學語言
英語
授課導師
Boktiar Ahmed Bappy
評分
4.6
(244 個評分)
2次瀏覽

課程簡介

Generative AI Mastery With 15+ Real Time Projects

A Comprehensive Guide to Building, Deploying, and Optimizing Generative AI using Langchain and Huggingface with project.

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.

課程章節

  • 10 個章節
  • 68 堂課
  • 第 1 章 Introduction to the Course
  • 第 2 章 Introduction to Generative AI
  • 第 3 章 Data Preprocessing and Embeddings
  • 第 4 章 Introduction to Large Language Models
  • 第 5 章 Huggingface Platform and its API
  • 第 6 章 Complete Guide to Open AI
  • 第 7 章 Mastering Prompt Engineering
  • 第 8 章 Master Vector Database for LLMs
  • 第 9 章 LangChain - Basic to Advance
  • 第 10 章 Learn to use Open Source LLMs

課程內容

  • 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.

此課程所涵蓋的技能


評價

  • R
    Rayyaan Lartey
    5.0

    Great course! On to explore more possibilities

  • B
    Balaji P
    5.0

    Clear presentation

  • S
    Shivaprasad Patil
    5.0

    Very good explanation and explained concepts very clearly.

  • S
    Subakaran Lingaratnam
    5.0

    Great course to learn about Generative AI.

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