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Overview
The Applied Generative AI Specialization is a comprehensive program designed to equip professionals with the skills to deploy Generative AI techniques in real-world scenarios. Offered by Purdue University Online in collaboration with Simplilearn, this course provides a holistic understanding of applied Generative AI, covering everything from foundational concepts like GANs and VAEs to advanced topics such as LLM application development, RAG, and fine-tuning. The program includes 50+ hours of live online classes, hands-on projects, and exclusive masterclasses by Purdue faculty, ensuring a deep and practical learning experience.
Objectives
By the end of this course, leaner will be able to:
- Master key Generative AI concepts, including GANs, VAEs, and transformers.
- Develop proficiency in prompt engineering and the deployment of LLMs (Large Language Models).
- Gain hands-on experience in building AI-enabled applications using tools like ChatGPT, Copilot, and Azure AI Studio.
- Implement advanced AI techniques like RAG (Retrieval Augmented Generation) and fine-tuning LLMs.
- Understand and apply AI governance and ethical considerations in real-world scenarios.
Prerequisites
- Basic to intermediate knowledge of Python programming.
- A foundational understanding of machine learning and AI concepts.
- An interest in exploring advanced Generative AI techniques and applications.
- A desire to work on hands-on projects and industry-relevant assignments.
- Motivation to upskill and stay ahead in the rapidly evolving field of AI.
Course Outline
Module 1: Foundations of Generative AI and Python ProgrammingCourses2024-08-20T09:22:37+05:30
- Introduction to Generative AI concepts: GANs, VAEs, and their applications.
- Python programming essentials for AI development.
Module 2: Transformers and Attention MechanismsCourses2024-08-20T09:23:14+05:30
- Deep dive into transformers, attention mechanisms, and their significance in LLMs.
- Exploring LLM architecture and its real-world applications.
Module 3: Advanced Prompt Engineering and LLM Fine-TuningCourses2024-08-20T09:24:01+05:30
- Techniques for effective prompt engineering to optimize AI models.
- Practical applications of LLM fine-tuning for specific tasks.
Module 4: Building Generative AI ApplicationsCourses2024-08-20T09:24:38+05:30
- Hands-on projects involving tools like ChatGPT, Copilot, and Azure AI Studio.
- Developing and deploying AI-enabled applications using Langchain for workflow design.
Module 5: RAG, LLM Benchmarking, and AI GovernanceCourses2024-08-20T09:25:13+05:30
- Understanding and implementing Retrieval Augmented Generation (RAG).
- Benchmarking LLM performance and exploring ethical AI practices.
