Mastering Generative AI : A Simple Guide for Beginners

Building Large Language Models (LLMs ) & Finetuning LLMs with Pytorch framework in Google CoLab -Foundations Covered

What you'll learn
Understand the basics of Generative AI
Understand Large Language Models (LLMs)
Understand Transformers
Implement Downstream tasks using Large Language Models in Python
Fine-Tune Large Language Models for Downstream Tasks and Implement them in Python

Requirements
Prerequisites: Basic familiarity with Python programming is helpful but not mandatory to take this course.
Basic Understanding of Machine Learning (Optional): Awareness of fundamental ML concepts like datasets, training, and testing can be helpful but is not mandatory.
Interest in Artificial Intelligence: A curiosity to explore how AI and large language models work.

Description
This course is ideal for beginners who are eager to explore Generative AI. Key features include:Beginner-Friendly Approach:Designed for learners with little to no prior experience in Generative AI.Clear and straightforward explanations of core concepts ensure easy understanding and engagement throughout the course.Foundational Concepts:A quick overview of Machine Learning and Natural Language Processing (NLP).Step-by-step explanation of how these fields form the backbone of Generative AI advancements.Practical insights into connecting theoretical knowledge with real-world applications and problem-solving scenarios.Focus on Large Language Models (LLMs):Detailed introduction to transformer architectures, the foundation of LLMs like GPT and BERT.Hands-on guidance for fine-tuning LLMs using Python programming, enabling learners to customize models for specific tasks and applications.Exploration of essential techniques, tools, and datasets required for successful model training.Seamless Learning Path:Carefully structured to help learners confidently embark on their Generative AI journey from scratch.Real-world use cases and examples to make the learning process engaging, relatable, and impactful.End-of-module exercises, practical projects, and quizzes to reinforce knowledge, track progress, and build practical skills.This course provides the perfect foundation for learners to upskill themselves in the field of Generative AI, exploring its applications and transformative potential across various domains.

Who this course is for:
Beginners in AI and Machine Learning: Individuals with little to no prior experience in AI who want to start their journey with Generative AI concepts., Students and Academics: College and university students looking to strengthen their foundational knowledge of AI and gain hands-on coding experience for projects or research., Developers Transitioning to AI: Software developers or engineers seeking to pivot into AI by learning to implement Generative AI techniques in their applications., Professionals Exploring AI Solutions: Business professionals, entrepreneurs, or consultants interested in understanding Generative AI's potential for solving problems or creating innovative solutions, Educators and Trainers: Teachers and trainers who want to incorporate Generative AI concepts into their curriculum or workshops.