First Step into AI Mastery LLMs & Prompt Engineering
Free Download First Step into AI Mastery LLMs & Prompt Engineering
Published 4/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 47m | Size: 1.25 GB
Prompt Engineering Crash Course
What you'll learn
Understand how Large Language Models (LLMs) work, including next-token prediction, embeddings, and similarity-based reasoning
Master prompt engineering techniques (zero-shot, few-shot, chain-of-thought) to control and improve AI outputs
Run and use local LLMs with Ollama, including selecting the right models and optimizing performance
Optimize LLM applications for performance, accuracy, and scalability in production
Requirements
Basic familiarity with Python or any programming language is helpful, required.
A computer capable of running local AI models (LLMs) (atleast 4GB ram).
Description
n this course, you'll get a complete, structured roadmap to mastering modern AI development from the ground up. We'll start by breaking down how Large Language Models (LLMs) actually work, so you move beyond using them as black boxes and truly understand what's happening under the hood. From there, you'll learn how to master prompt engineering—one of the most critical skills for getting accurate, reliable, and high-quality outputs from AI systems.
Next, we'll go hands-on with running models locally using tools like Ollama, giving you more control, privacy, and flexibility. You'll then learn how to build powerful Retrieval-Augmented Generation (RAG) systems using your own data, enabling real-world, customized AI applications.
We'll also dive into designing and implementing AI agents that can reason, plan, and take actions autonomously. Finally, we'll guide you step-by-step on how to move from simple demos to production-ready applications that are scalable and robust.
You'll also see the full roadmap of the course, including
• How LLMs (Large Language Models) actually work
• How to master prompt engineering
• How to run models locally using Ollama
• How to build RAG systems with your own data (introduction)
• How to design and implement AI agents
• How to move from simple examples to production-ready applications
By the end of this video, you'll understand exactly what you're going to build and how each part of the course connects together.
Let's get started
Who this course is for
For People who with low resources looking for free, effective AI tools
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