Projects
Assignments
Overview
The Generative AI and ChatGPT Masterclass for Software Engineers is a comprehensive course designed to equip software professionals with the knowledge and skills to harness the power of Generative AI, ChatGPT, and other advanced AI tools. From understanding the basics of AI to implementing real-world projects using cutting-edge technologies like OpenAI Sora and Google Gemini, this course offers everything you need to stay ahead in the rapidly evolving tech landscape.
Objectives
By the end of this course, leaner will be able to:
- Understand the foundational concepts of Artificial Intelligence, Machine Learning, and Deep Learning.
- Master prompt engineering to maximize productivity with ChatGPT and similar AI tools.
- Navigate and utilize OpenAI models, APIs, and tools like Postman for practical applications.
- Implement advanced Generative AI techniques such as embeddings, fine-tuning, and Retrieval-augmented generation (RAG).
- Develop real-world AI-powered projects integrating multiple AI models like Whisper, DALL-E 3, and Embeddings.
Prerequisites
- Basic programming knowledge, preferably in Python.
- Familiarity with AI and machine learning concepts.
- An interest in exploring advanced AI tools like ChatGPT, DALL-E, and Google Gemini.
- Experience in software development or testing.
- A desire to understand and implement AI in practical scenarios.
Course Outline
Module 1: Fundamentals of Artificial IntelligenceCourses2024-08-20T10:35:40+05:30
- Introduction to AI, key concepts, and differences between AI, ML, and Deep Learning.
- Real-life examples of AI applications.
Module 2: Generative AI InternalsCourses2024-08-19T21:24:20+05:30
- Understanding GPT, the evolution of Generative AI, and the democratization of AI.
- Exploring the technological stack behind ChatGPT and other generative models.
Module 3: Mastering ChatGPT and OpenAICourses2024-08-19T21:27:38+05:30
- Effective prompt engineering for productivity and creativity.
- Deep dive into OpenAI models, APIs, and integration with tools like Postman.
Module 4: Exploring Alternatives and Advanced TechniquesCourses2024-08-19T21:28:32+05:30
- Comparison of alternative models like Google Gemini and Github Copilot.
- Advanced techniques such as embeddings, vector databases, and fine-tuning.
Module 5: Real-World Project ImplementationCourses2024-08-19T21:29:44+05:30
- Hands-on project integrating various OpenAI models like ChatGPT, Whisper, and Embeddings.
- Exploring RAG and plotting embeddings in a graph for practical applications.
