What you will learn ?

Welcome to the “GenAI and LLMs Course” , your ultimate guide to mastering Generative AI and Large Language Models (LLMs). This comprehensive course is designed to equip you with the knowledge and skills needed to understand, build, and deploy generative AI models and LLMs. Whether you’re a beginner or an experienced professional, this playlist offers valuable insights and hands-on practice to enhance your expertise in this rapidly evolving field.

Course Highlights:
Introduction to Generative AI
Start your journey with a solid foundation in Generative AI. This section covers:

What is Generative AI? Understand the basics of generative models and their applications.
History and Evolution: Learn about the evolution of generative AI, from early models to the latest advancements.
Applications of Generative AI: Explore various applications, including text generation, image synthesis, music composition, and more.
Understanding Large Language Models (LLMs)
Dive deep into the world of LLMs with detailed explanations and examples. Topics include:

What are LLMs? An overview of large language models and their significance in AI.
Popular LLM Architectures: Study popular models like GPT-3, BERT, T5, and their underlying architectures.
Training and Fine-Tuning LLMs: Learn about the training process, including data preparation, model training, and fine-tuning techniques.
Hands-On Practice: Building and Deploying LLMs
Get practical experience with hands-on tutorials and projects. This section includes:

Setting Up Your Environment: Step-by-step instructions to set up your development environment, including necessary tools and libraries.
Building Your First LLM: Follow along as we build a simple LLM from scratch.
Fine-Tuning LLMs for Specific Tasks: Learn how to fine-tune pre-trained models for specific tasks such as text classification, sentiment analysis, and more.
Deploying LLMs: Understand the deployment process, including hosting models on cloud platforms and integrating them into applications.
Advanced Topics in Generative AI and LLMs
Expand your knowledge with advanced topics and techniques. Topics covered include:

Advanced Architectures: Explore cutting-edge architectures like Transformer-XL, GPT-3, and BERT variants.
Zero-Shot and Few-Shot Learning: Learn about zero-shot and few-shot learning techniques and their applications.
Ethical Considerations: Discuss the ethical implications of generative AI and LLMs, including bias, fairness, and responsible AI development.
Real-World Applications and Case Studies
See how generative AI and LLMs are used in real-world scenarios. This section includes:

Case Studies: Analyze case studies from various industries, including healthcare, finance, entertainment, and more.
Industry Applications: Understand how businesses are leveraging generative AI for innovation and efficiency.
Future Trends: Stay updated with the latest trends and future directions in generative AI and LLMs.

By the end of this course, you will have a deep understanding of generative AI and LLMs, practical experience in building and deploying models, and the ability to apply these skills in real-world scenarios. Enroll now and take the first step towards becoming an expert in generative AI and LLMs.