Certified AI Engineer Masterclass: Build AI Agents 2026

2026 AI工程师认证课：从零构建智能代理

掌握LLM、RAG与AI代理开发，从入门到部署AWS。71节课程12小时，学习提示工程、全栈AI系统构建与性能优化，适合各级开发者进阶实战。

Published 5/2026
Created by Data Science Academy, School of AI, Vivian Aranha
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 71 Lectures ( 12h 35m ) | Size: 4.8 GB

Build real AI systems, LLM apps, RAG, agents & deploy on AWS — from beginner to advanced

What you’ll learn
⚡ Build real-world AI applications using Large Language Models (GPT, Claude, etc.)
⚡ Master Prompt Engineering techniques (zero-shot, few-shot, structured outputs)
⚡ Develop AI Agents with memory, tools, and automation workflows
⚡ Implement Retrieval-Augmented Generation (RAG) using embeddings and vector databases
⚡ Integrate AI into applications using APIs (Python & JavaScript)
⚡ Design and build full-stack AI systems (frontend + backend)
⚡ Deploy AI applications using AWS, Docker, and modern DevOps practices
⚡ Optimize AI systems for cost, latency, and performance
⚡ Understand and mitigate AI risks, security issues, and bias

Requirements
❗ No prior experience in AI or Machine Learning is required — this course starts from the basics
❗ Basic computer skills (installing software, using a browser, managing files)
❗ A laptop or desktop with a stable internet connection

Description
“This course contains the use of artificial intelligence”

This is not just another AI course — this is acomplete AI Engineer roadmap designed to take you fromzero to building real-world AI systems.

In this masterclass, you won’t just learn theory — you’llbuild, deploy, and scale AI applications using the most in-demand technologies in the industry today.

You’ll start by understanding thefundamentals of Artificial Intelligence, Machine Learning, and Deep Learning, then quickly move intohands-on Python, where you’ll learn how to work with data and build reusable code.

From there, you’ll dive deep intoGenerative AI and Large Language Models (LLMs) — including how models like GPT and Claude work, and how to control them usingadvanced prompt engineering techniques.

But we don’t stop there.

You’ll learn how to

✨ BuildAI-powered applications using APIs

✨ ImplementRetrieval-Augmented Generation (RAG) systems

✨ CreateAI Agents that can think, act, and automate tasks

✨ Designmulti-agent systems that collaborate like real teams

✨ Developfull-stack AI applications

✨ Deploy your projects usingAWS, Docker, and modern DevOps practices

You’ll also learn how tooptimize costs, reduce latency, and secure AI systems — skills that separate beginners from real engineers.

By the end of this course, you will be able to

✨ Build real AI products

✨ Deploy them to production

✨ Understand how AI systems work end-to-end

✨ Position yourself as ajob-ready AI Engineer

This course is designed with aproject-first approach, ensuring you gainpractical, real-world experience — not just theoretical knowledge.