Applied Generative AI

Generative AI is changing how we write, design, code, search, communicate, and solve problems. But knowing how to use ChatGPT is very different from understanding how modern AI systems actually work. Applied Generative AI is a comprehensive, project-driven learning series from Saras AI Institute designed for learners who want to move beyond prompting and become confident AI builders. This is not a playlist of AI news, productivity hacks, or isolated demos. Instead, you'll develop a deep understanding of the technologies, engineering patterns, and practical skills that power today's most advanced AI applications. Throughout this playlist, you'll learn how to: • Understand how Large Language Models (LLMs) work • Explore foundation models, diffusion models, GANs, and multimodal AI • Master prompt engineering techniques and reasoning strategies • Build with OpenAI, Gemini, and Anthropic APIs • Develop AI applications using Python and modern SDKs • Handle API rate limits, timeouts, and production-ready error handling • Build conversational voice AI assistants and multimodal applications • Create Retrieval-Augmented Generation (RAG) systems with vector databases • Build AI agents with memory, tool calling, and reasoning workflows • Evaluate AI systems using guardrails, validation, and observability • Understand the Model Context Protocol (MCP) and next-generation AI agent architectures • Design reliable, scalable, and trustworthy Generative AI applications Across eight comprehensive modules, you'll progress from understanding the fundamentals of Generative AI to building production-ready AI systems powered by LLMs, multimodal models, RAG, autonomous agents, and MCP. The future won't belong to people who simply use AI. It will belong to people who understand how these systems work, know when to trust them, know how to evaluate them, and can build intelligent applications that solve real-world problems. Learn the principles. Build the systems. Shape the future of AI. Join the Advanced AI Engineer Certification. Next cohort starts Aug 1, 2026. Learn more: www.sarasai.org/masteraidev