Generative AI Masters 2025 - NLP, Transformers & Gen AI!!
Complete Guide to Building, and Deploying Generative AI
4.61 (336 reviews)
11 102
students
41 hours
content
Apr 2025
last update
$79.99
regular price
What you will learn
Build a solid foundation in Python programming to effectively implement AI concepts and applications.
Understand the complete pipeline of Natural Language Processing, from data preprocessing to model deployment.
Learn how transformer models revolutionize NLP tasks, and how to leverage them for various applications.
Explore the essentials of Large Language Models (LLMs) and their applications in generative tasks.
Gain hands-on experience with Retrieval-Augmented Generation (RAG) and Langchain for building advanced AI applications.
Develop skills in crafting effective prompts to optimize model performance and achieve desired outputs.
Learn how to utilize vector databases for efficient storage and retrieval of embeddings in AI projects.
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Our Verdict
With a comprehensive and informative approach to Generative AI, this course is an excellent resource for both beginners and seasoned developers. Expect to dive deep into the world of AI, powered by practical examples, real-world applications, and led by an expert instructor. While some advanced topics could benefit from additional depth and curation, this 41-hour journey offers ample opportunities for mastering LLMs, prompt engineering, and other key AI tools. Stay up-to-date with the latest trends and build your confidence in creating and optimizing AI-driven initiatives.
What We Liked
- The course provides a thorough exploration of Generative AI, covering various essential topics such as Python programming, NLP, Deep Learning, Transformers, and Large Language Models.
- Packed with practical examples and real-world applications, the lessons keep learning engaging and exciting, making it easy to understand complex concepts like LLMs and prompt engineering.
- Instructor's knowledge of the field is impressive, sharing valuable insights into the future of AI and its impact on our world.
- The course concludes with a capstone project, allowing you to apply your skills in solving real-world problems using Generative AI techniques.
Potential Drawbacks
- A few topics, like Retrieval-Augmented Generation (RAG) and Vector Databases, could benefit from more detailed explanations and examples.
- The pacing might be challenging for learners without prior experience in programming or AI as it covers advanced concepts and techniques.
- Given the fast- evolution of AI technology, some sections may require periodic updates to ensure currency with industry best practices.
- The course length can be intimidating for those seeking a quicker introduction to Generative AI.
6156103
udemy ID
30/08/2024
course created date
05/09/2024
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