
1. The evolution of skills in the AI era: Why Generative AI is a must-have skill.
2. Overview of real-world applications in business, law, education, and more.
At the end of the lecture, learner shall understand why mastering Generative AI is essential in today’s world and how it applies across various domains.
What is Generative AI, and how does it differ from traditional AI?
Key terms: Language models, embeddings, prompt engineering, and vector databases.
At the end of the lecture, learner shall understand the core concepts of Generative AI and its distinctions from traditional AI.
Simplified breakdown of transformers, GPT, and diffusion models.
Analogies to make complex concepts accessible.
Learners shall gain a simplified understanding of the mechanisms powering Generative AI models.
Gain a deeper understanding of large language models, their architecture, and how they generate coherent text.
This lecture is designed for learners with a strong interest in the technical aspects of Generative AI, such as the inner workings of large language models and text generation systems.
DeepSeek, the latest AI disruptor, is redefining efficiency with its carbon-neutral approach to high-performance computing. Combining deep learning with sustainability, it challenges industry norms by reducing power consumption while maintaining cutting-edge capabilities. Its innovative architecture optimizes model performance, making AI more accessible and environmentally responsible. With applications spanning enterprise solutions, research, and open-source AI, DeepSeek is poised to reshape the landscape. As it gains traction, its impact on the future of AI development and sustainability remains a topic of keen interest. This lecture reviews this new 'kid on the block' for the course learners.
Principles of crafting effective prompts.
Examples: Optimizing queries for legal, business, health, and creative tasks.
Learn how to craft clear, concise, and effective prompts to optimize AI outputs.
Techniques to refine and iterate prompts for specific outcomes.
Hands-on exercises with popular LLMs
Master techniques to iterate and refine prompts for specific goals and tasks.
Misleading prompts, vague instructions, and edge cases.
Identify and address common mistakes when interacting with LLMs.
Learn techniques to optimize inference times and fine-tune prompts for faster and more accurate Generative AI responses.
Learn to apply advanced prompt engineering and inference optimization techniques using open-source frameworks and APIs.
Conceptual overview of embeddings and their role in AI.
Applications in semantic search and recommendation systems.
Understand embeddings and their role in representing and processing data.
Exploring popular vector stores.
Tradeoffs: Performance, cost, and scalability.
Learn the basics of vector stores and how they enable efficient data search.
Using embeddings and vector databases to create a custom search application.
Build a functional search engine using embeddings and vector databases.
Learn to implement cutting-edge applications of embeddings, including RAG-based question-answering, text similarity search, and neural classification.
Components: Memory, reasoning, decision-making, and task execution.
Discover the key components and workings of AI-powered agents.
Practical guide to creating a task-specific AI agent.
Use case: Customer support or document summarization.
Create a simple AI agent tailored to a specific task or domain.
Iterative development techniques for better performance.
Learn techniques to troubleshoot and optimize AI agent performance.
Learn to build intelligent AI agents capable of database querying and dynamic task execution.
Explore how domain-specific models like SecLM and Med-PaLM address specialized problems
Learn practical applications of Generative AI for automating and optimizing business processes
Discover how Generative AI is transforming legal research, drafting, and case analysis.
Unleash your creativity by leveraging AI for generating content, designs, and ideas.
Overview of MLOps principles adapted for Generative AI.
Introduction to Vertex AI and other popular platforms.
Practical exercise: Deploying a custom foundation model.
Students choose a domain-specific problem to solve using Generative AI.
Step-by-step guidance to implement their project.
Emerging trends and technologies in Generative AI.
Skills needed, job roles, and resources to continue learning.
In today’s rapidly evolving world, mastering Generative AI is as fundamental as learning math was in the past. Whether you’re a professional, student, or simply curious, this course is designed to make the transformative power of Generative AI accessible to everyone, regardless of technical expertise.
Generative AI is revolutionizing industries by enabling smarter problem-solving, creative innovation, and automation. This course takes a step-by-step approach, explaining core concepts in clear, layman’s terms. Using relatable examples from everyday domains like business, legal, education, and more, we’ll show you how to unlock AI's potential in your own work or studies.
Key topics include the evolution of AI models, mastering prompt engineering, understanding embeddings and vector databases, and building intelligent AI agents. You’ll also explore domain-specific models like SecLM and Med-PaLM and learn how modern MLOps practices streamline AI workflows.
**INCLUDES A FULL CHAPTER ON DEEP SEEK including an Assignment that deepens your understanding**
No advanced math or coding skills? No problem! The course is packed with simple analogies, real-world applications, and interactive examples that ensure you’ll not only understand Generative AI but also feel confident in applying it.
What You’ll Gain:
A solid understanding of Generative AI concepts, tailored for non-technical learners.
Hands-on skills to create and use AI models across various industries.
Insights into how Generative AI can solve problems in domains like business and law, explained with practical examples.
The ability to think critically about AI applications and make informed decisions about its use.
Prepare to acquire the most essential skill of the AI-driven era, enabling you to thrive in your career and adapt to the future with confidence!
Key Focus Areas:
Explaining concepts in simple, non-technical terms to make them accessible for learners without coding or math skills.
Using examples from business, legal, and creative domains to demonstrate how AI solves everyday problems.
Providing hands-on experience with Generative AI tools and techniques.
Please Note:
No Coding or Math Skills Needed: The course is taught in simple terms, making complex topics accessible to all.
Practical and Real-World Applications: Learn how to use Generative AI in industries like business, law, and more.
Future-Ready Skillset: Equip yourself with the knowledge to adapt and excel in an AI-driven world.