Applied Generative AI & Prompt Engineering Mastery

Overview

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Everyone talks about AI. Few actually understand it. Most people copy prompts from Google, get inconsistent results, and quietly wonder if they are falling behind. This course closes that gap for good. Here is what you will cover: Generative AI Foundations Understand how Generative AI differs from Machine Learning and Deep Learning so you can confidently follow modern AI conversations and trends. Explore ChatGPT features, the evolution of GenAI, and tools for text, image, audio, video, and code generation. Learn how newer AI systems are becoming more capable and interactive. LLMs, Use Cases, Ethics & Risks Learn how tools such as ChatGPT generate responses & why AI can sometimes sound convincing even when it is wrong. Explore practical AI use cases across business, software, retail, and marketing while understanding concepts such as fine-tuning, RAG, Agentic AI, hallucinations, bias, and AI limitations. Prompt Engineering Apply 13+ prompting techniques to get clearer, more reliable AI outputs across writing, brainstorming, research, coding, and everyday work tasks. Work with tools such as GitHub Copilot & Amazon Nova while exploring AI career opportunities and how AI is reshaping future roles. Ideal for professionals, students, career switchers, and anyone who wants to truly understand AI instead of just experimenting with it. Join 200,000+ learners across 160+ LearnKartS courses on Coursera. Enroll now.

Syllabus

Generative AI Foundations and Applications

Learn the core concepts of Generative AI including AI, ML, DL, LLMs, embeddings, and ChatGPT capabilities. Explore real-world applications and build a strong foundation for advanced AI understanding.

Understanding LLMs, GenAI Use Cases, AI Ethics, Risks & Limitations

Understand how modern AI tools work, including RAG, fine-tuning, Agentic AI, and multi-modal AI applications. Learn real-world use cases along with AI ethics, risks, limitations, and responsible usage.

Prompt Engineering

Master practical prompt engineering techniques such as Chain of Thought, Few-Shot, Role-based, and Reverse prompting. Learn how to structure prompts effectively to improve accuracy, creativity, and real-world AI outputs.