Agentic AI Full Course 2027 Timestamps | Complete Chapters for Beginners | Simplilearn
[0:00] Introduction to Agentic AI Introduces the concept of agentic AI, where AI systems move from generating responses to reasoning, planning, and taking actions. Outlines the course agenda covering 20 modules from AI fundamentals to deployment and career. [4:15:47] AI Basics and Everyday Use Explains what AI is, its importance in 2026, and how it's used daily in apps like YouTube, Netflix, and Gmail. Differentiates AI, machine learning, and deep learning using a food delivery app example. [8:31:34] Generative AI and LLMs Covers generative AI's ability to create new content and large language models (LLMs) like ChatGPT. Explains how LLMs predict text patterns and the importance of clear prompting. [12:47:21] AI Agents vs. Generative AI Compares AI agents, which complete multi-step tasks, to generative AI, which creates content. Discusses real-world AI applications in education, business, healthcare, and more. [17:03:08] Prompting and Common Mistakes Teaches effective prompting techniques, including specificity, role-setting, and examples. Highlights common beginner mistakes like vague prompts and not verifying outputs. [21:18:55] Generative AI Deep Dive Explores generative AI evolution, neural networks, and models like GANs and VAEs. Discusses opportunities and ethical risks, with examples in business, education, and entertainment. [25:34:42] Prompt Engineering in Practice Demonstrates prompt engineering strategies with examples, including building a movie guide chatbot. Shows how to refine prompts for better AI responses and troubleshoot common issues. [29:50:29] AI for Research and Content Creation Covers using AI for research summarization, knowledge structuring, and content creation. Compares tools like ChatGPT and Perplexity, and demonstrates text-to-image and presentation generation.
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