One-time for 1 person

$10.00

Level

Intermediate

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Time to Complete

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Lessons

8 Lessons

Language

English

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Updated:

Apr 20, 2026

Applied AI Architect: From Cloud Models to Local Autonomous Agents

Master the mechanics of modern artificial intelligence. This active learning course explores how Large Language Models (LLMs) work, the competitive landscape of the “AI Race” (Gemini, Claude), and hands-on implementation of powerful tools like NotebookLM, Claude for coding, and local autonomous frameworks like OpenClaw.

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What You’ll Learn?

Understand the core architecture behind Transformers, pre-training, and alignment (RLHF).
Analyze the strengths and use-cases of leading frontier models like Google Gemini and Anthropic Claude.
Utilize Google NotebookLM for deep knowledge synthesis and rapid document analysis.
Integrate Claude into your development workflow for code generation, debugging, and refactoring.
Deploy private, local LLMs (like Llama and Qwen) using Ollama on dual OS environments (Mac M1 and Windows 10).
Configure and deploy autonomous AI agent frameworks, specifically mastering OpenClaw and ClawCode for automated task execution.

Course Syllabus

Demystifying AI – How It Actually Works

2 Lessons 0 Quiz

The AI Landscape and The Great Race

2 Lessons 0 Quiz

Applied AI – Tools for Productivity and Development

2 Lessons 0 Quiz

Local Deployment and Autonomous Agents

2 Lessons 0 Quiz

Quiz

0 Lesson 1 Quiz

Meet Your Instructor

enkhmanlai bu
0.0
enkhmanlai bu

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One-time for 1 person

$10.00

Level

Intermediate

Time to Complete

0 hour 0 minute

Lessons

8 Lessons

Language

English

Rating

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0 Review

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