English | Size: 4.98 GB
Genre: eLearning
Learn by Doing. Become an AI Engineer, Learn by Doing. Become an AI Engineer is a 6-week, cohort-based, project-focused course taught by Ali Aminian that takes you from fundamentals to building production-capable AI systems. Through six hands-on projects — including an LLM playground, a RAG-based customer support chatbot, an “Ask-the-Web” agent with tool calling, deep-research workflows, multimodal generation, and a capstone — you will learn pre-training and post-training techniques, prompt engineering, retrieval and indexing strategies, agent design and orchestration, reasoning models, and multimodal generation pipelines.
The course includes live interactive sessions and office hours, lifetime access to recordings and materials, a peer community, real-time instructor feedback on the capstone, practical runnable code examples, and a 7-day refund policy. Prerequisites: basic computer science fundamentals; Python familiarity is helpful but not required. All live sessions are recorded so you can catch up later.
What you’ll learn
Build an LLM playground and understand pre-training and post-training workflows
Design and implement RAG-based customer support chatbots and apply prompt engineering
Create web agents with tool calling, multi-step workflows and agent orchestration
Develop deep research pipelines using reasoning models and inference/training-time techniques
Implement multimodal generation workflows for text-to-image and text-to-video
Deliver a capstone project with live instructor feedback and demo sessions
Who this course is for
Complete beginners and career changers who want hands-on AI engineering training
Aspiring AI developers and ML engineers seeking practical, project-based experience
Product managers and technical PMs who want to build or manage AI products
Data scientists and ML practitioners interested in agentic workflows, RAGs and retrieval systems
Students and professionals looking for cohort-based mentorship and peer community
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