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Mastering Generative AI and LLMs: From Beginner to Black Belt

(14 customer reviews)

Original price was: ₹21,110.00.Current price is: ₹4,222.00.

This is a 12 hours pre-recorded course where you will learn to build Generative AI and LLM Applications

  • Learn building GenAI applications with LangChain framework, Hugging Face pipelines
  • Master developing business relevant Generative AI agents
  • Check the course page here for more details. Return back to this product page for purchase
  • This course gets added to Course Dashboard in your account after the purchase
  • 30% additional discount for students. Share a copy of your student ID card at info@ambilio.com and get a coupon

Description

Embark on a transformative journey to mastering Generative AI and LLMs with our comprehensive course. Discover the vital importance of learning Generative AI as demand for professionals in this field skyrockets exponentially.

This industry-relevant Generative AI course, curated by industry experts, provides complete theoretical and practical coverage of essential models such as Stable Diffusion, DALL.E, GPT, LLaMA, LaMDA, and more. From understanding the underlying concepts and algorithms to hands-on implementation and building real-world applications, you’ll gain expertise at a comprehensive level.

Join us to meet the soaring demand for Generative AI and LLM professionals and position yourself at the forefront of this cutting-edge field. Earn a prestigious Generative AI Black Belt Certification, validating your mastery of these transformative technologies. Enroll now and seize the opportunities of the future.

Course Preview

What You’ll Learn?

  • Develop a deep understanding of Generative AI and LLMs.
  • Master advanced techniques in building Language Models and Generative Models.
  • Create industry-relevant applications using LLM-powered frameworks like Hugging Face and LangChain.
  • Gain hands-on experience with cutting-edge models like GPT, DALL.E, and Stable Diffusion.

About Instructor

Founder of an AI Startup, Ex-Director – Data Science, Ex-Principal Data Scientist, 14+ years of experience in Artificial Intelligence

Course Outline

  • Introduction to Generative AI
    • Introduction and Overviews
    • VideoIntroduction to Generative AI (Video)

     

  • Language Modeling with Transformers
    • Language Modelling with Transformers
    • Hands-on: Building a Language Modeling model using Transformer
    • Language Modelling with Transformers Intuition (Video)
    • Language Modelling with Transformers in Python (Video)
    • Coding Practice: Language Modelling with Transformers
  • Advanced LLMs
    • Advanced Large Language Models
    • Hands-on: Building an LLM-based Chatbot using the GPT Family of LLMs
    • Video Tutorial – Advanced LLMs Intuition (Video)
    • Video Tutorial – Advanced LLMs in Python (Video)
    • Coding Practice – Advanced LLMs
  • Image Synthesis Models
    • Image Synthesis Model
    • Hands-on: Building an Image Synthesis model using DALL.E
    • Image Synthesis Models Intuition (Video)
    • Image Synthesis Models Implementation (Video)
    • Coding Practice – Image Synthesis Models
  • Advanced Generative Modes
    •  Advanced Generative Models
    • Hands-on: Building a Generative model using Stable Diffusion
    • Advanced Generative Models Intuition (Video)
    • Advanced Generative Models Implementation (Video)
    • Coding Practice – Advanced Generative Models
  • Generative AI Agents
    • Generative AI Agents – AutoGPT and AgentGPT
    • Hands-on: Building your own Generative AI Agent
    • Generative AI Agents Intuition (Video)
    • Generative AI Agents Implementation (Video)
    • Coding Practice – Building Generative AI Agents using LangChain
  • LLM-Powered Applications with Hugging Face
    • LLM-Powered Applications with Hugging Face
    • Hands-on: Building Text Generation Applications with Hugging Face
    • Building Generative AI Applications using Hugging Face (Video)
    • Coding Practice – Building Generative AI Applications using Hugging Face
  • LLM-Powered Applications with LangChain
    • LLM-Powered Generative AI Applications with LangChain
    • Hands-on: Building LLM-powered applications with LangChain
    • LLM-Powered Applications with LangChain Intuition (Video)
    • Building LLM-Powered GenAI Applications with LangChain Implementation (Video)
    • Coding Practice – Classification Algorithms
  • Industry-Relevant Use Cases
    • Industry Use Cases of LLMs and Generative AI
    • Industy Use Cases of Generative AI and LLMs (Video)
  • Handouts - Refernce Materials and Notebooks
    • Reference Study Materials
    • Notebook Links

FAQs

  • Who can attend this course?

    This course is suitable for beginners as well as professionals working in different domains.

  • What is the mode of delivery?

    This course has different modes of delivery. It can be taken in person from a center over the weeks, or it can be taken online as well based on your own convenience.

  • What are the prerequisites to attend this course?

    Basic understanding of AI, machine learning, Deep learning and related fields along with python, and mathematics is required to attend this course.

  • How difficult is this course to learn?

    The course has beginner-level difficulty.

  • What job roles can i take if i attend this course?

    Data scientists, AI Engineer, AI Scientists, etc. roles can be explored after taking this course.

  • Will i get the certificate?

    You will get an auto-generated certificate after the completion of the course. If you need a well designed course, write us at info@ambilio.com.

Materials Included

  • Video Lessons
  • Reference Study Materials
  • Python Notebooks
  • Handouts
  • Auto-generated Certificate of Completion
  • Well designed certificate on request

14 reviews for Mastering Generative AI and LLMs: From Beginner to Black Belt

  1. Vishal Khatri –

    This is a perfect course to master generative AI and large language models. The most important part of this course I liked is using langchain for building llm applications on your own data.

  2. Emily Johnson –

    I recently completed this course, and guys, was it an eye-opener! The course covers a range of models like Stable Diffusion and GPT in a clear, easy-to-follow manner. The hands-on projects helped solidify my understanding. The only reason I’m not giving it 5 stars is because a bit more interaction with live instructors would’ve been great. Nevertheless, I feel equipped to explore Generative AI further.

  3. Alejandro García –

    As a tech enthusiast, I enrolled in this course, and let me tell you, it exceeded all my expectations! The instructors broke down complex concepts like DALL.E into digestible pieces. The practical exercises, especially using Hugging Face and LangChain, were an absolute blast. I’ve even started crafting my own small AI applications. I wholeheartedly recommend this course to anyone with an inkling for AI exploration.

  4. Elena Rodríguez –

    I’ve just wrapped up this course – it’s been awesome! I’m genuinely pumped about how much I’ve learned. The instructors break things down in a super easy way, and the hands-on projects are a blast.

    If you’re into AI and want to level up your skills, I totally recommend giving this course a shot. I’m already using what I’ve learned in my own projects, and it’s been a game-changer. Go for it and enjoy the ride!

  5. Ajay Swaroop –

    Well curated course which covers almost everything needed in the field of Generative AI and LLMs. This much of content with highly useful implementations is not available anywhere at one place. Much liked and highly recommended.

  6. Shreya Rajpoot –

    Everything i liked in the course, but a live instructor could have made it much better. Course material wise fine.

  7. Wei Ying Lim –

    Good one! Very well designed with sufficient learning, materials – both concept and hands-on.

  8. Sofía Martinez –

    The course provided valuable insights into Generative AI. Projects were engaging, although more interaction with instructors would have enhanced the experience. Overall, much liked course.

  9. Sarah Thompson –

    An exceptional learning journey! The course content is comprehensive and well-structured. The practical projects offer hands-on experience, enhancing understanding. I feel confident in my grasp of Generative AI concepts. Highly recommended for aspiring AI enthusiasts and professionals.

  10. Neha Sharma –

    The course content provided valuable insights into Generative AI concepts. Practical projects were engaging and expanded my understanding of the subject.

  11. Takashi Yamamoto –

    Exceptional course! Comprehensive Generative AI coverage, engaging projects. Highly recommended for those eager to explore AI’s horizons.

  12. Sneha Kapoor –

    An outstanding learning experience! The course delved deep into Generative AI, and the practical projects were invaluable. The instructors’ expertise and guidance were impressive. Excited to leverage these skills in real-world applications. Highly recommend to anyone interested in AI advancement.

  13. Ahmed Al-Mansoori –

    I’m thrilled with the comprehensive Generative AI course. The content was well-organized, and the hands-on projects were invaluable. I gained insights into complex models like Stable Diffusion and GPT, and I’m now confident in implementing AI solutions. This course has opened doors to exciting opportunities in the AI field. Highly recommended for anyone looking to excel in this domain.

  14. Omar Khalifa –

    Outstanding course! In-depth coverage of Generative AI, coupled with practical projects, enhanced my skills significantly. Highly recommended for those seeking expertise in this cutting-edge field.

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