Ali Aminian – Learn by Doing – Become an AI Engineer

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Ali Aminian – Learn by Doing – Become an AI Engineer

Learn by Doing: Become an AI Engineer is not your typical AI course filled with endless theory.

Instead, it’s a hands-on journey that teaches you how to build, train, and deploy

real-world AI applications from the ground up.

Designed for practical learners, this course empowers you to think

like an engineer and create intelligent systems that solve real problems — not just pass tests.

What Makes This Course Different

Learn by Doing: Become an AI Engineer focuses on action over abstraction.

You’ll dive straight into projects that mirror real industry workflows, learning to build neural networks,

fine-tune models, and integrate AI into software solutions that matter.

Through structured modules and guided exercises, Ali Aminian shows how to bridge

the gap between knowledge and capability — helping you go from “AI enthusiast” to “AI creator.”

What You’ll Build and Master

Core AI Foundations Through Application

Understand machine learning principles by applying them in code — regression, classification,

and clustering made simple and intuitive.

Deep Learning & Neural Networks

Create and train deep learning models using frameworks like TensorFlow and PyTorch,

while understanding the logic behind every parameter and layer.

Generative AI Projects

Build your own AI text generators, image creators, or chatbots using cutting-edge models and APIs.

Model Deployment & Integration

Learn how to take your models live — deploying them on cloud platforms, integrating with apps, and optimizing for performance.

Problem-Solving With AI

Work on real-world case studies

that simulate industry scenarios, building your problem-solving mindset and practical confidence.

What You’ll Gain

A complete project portfolio showcasing your technical skills.

Hands-on experience with key AI frameworks and libraries.

The ability to turn ideas into functioning AI-powered solutions.

Confidence to apply for real AI engineering roles or freelance opportunities.

Who Should Enroll

Beginners eager to break into AI through practical learning.

Developers and data scientists wanting hands-on mastery.

Entrepreneurs seeking to integrate AI into their products.

Students who prefer learning by doing, not memorizing.