AI Engineer Course, GEN AI, Deep, Machine, LLM
Data Science Academy
Training Engineers in AI & Data Science
This course is popular
4 people enrolled last week.
Learn to Build Production-Ready Generative AI & LLM Applications
Generative AI is transforming every industry — but most engineers only learn how to use AI tools, not how to build real AI systems.
Companies are urgently looking for engineers who can design production-ready LLM applications, implement Retrieval-Augmented Generation (RAG) pipelines, build AI agents, and integrate AI into real software products.
This course bridges that gap.
You will learn how to move from AI experimentation to real engineering, building systems that combine LLMs, embeddings, vector databases, APIs, and agents into scalable applications.
By the end of this course, you will know how to:
• Design reliable prompts and LLM workflows
• Build semantic search systems using embeddings
• Implement production-ready RAG pipelines
• Develop full-stack LLM applications
• Optimize systems for cost, performance, and scale
Instead of just learning theory, you will build the core architecture behind modern AI products used by startups and tech companies today.
If you want to become an AI Engineer capable of building real Generative AI systems, this course will give you the practical foundation to do it.
What you’ll learn
Master Generative AI engineering by building production-ready LLM systems using RAG, agents, embeddings, and scalable AI architectures.
Learn the transformer architecture including attention, tokenization, embeddings, and positional encoding
Write system prompts, zero-shot, one-shot, and few-shot prompts for consistent AI responses
Generate embeddings and measure semantic similarity using cosine and vector search.
Build RAG pipelines that combine LLMs with external knowledge sources
Implement function calling and structured outputs to connect LLMs with external tools.
Develop backend LLM services using FastAPI and production API workflows.
Learn directly from Data
Data Science Academy
Industry-focused academy training engineers in AI, LLMs, and data science.
Who this course is for
Software engineers who want to transition into AI engineering and build production-ready LLM and generative AI applications.
Data scientists and ML engineers looking to learn RAG, agents, embeddings, and modern LLM application development.
AI builders, startup founders, and product developers who want to integrate generative AI into real-world products.
What's included
Live sessions
Learn directly from Data Science Academy in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Course syllabus
Week 1
Day 1 - Introduction to Generative AI
Day 2 - Transformer Architecture & LLM Fundamentals
Day 3 - Large Language Models in Practice
Day 4 - Prompt Engineering for Engineers
Day 5 - Embeddings & Semantic Search
Day 6 - Retrieval-Augmented Generation
Day 7 - Tool Calling & Function-Based LLMs
Week 2
Day 8 - Agentic AI Systems
Day 9 - Full-Stack LLM Application
Day 10 - Evaluation, Cost & Performance
Day 11 - Ethics, Security & Responsible AI
Schedule
Live sessions
2 hrs / week
Projects
8 hrs / week
Async content
6 hrs / week
Frequently asked questions
$200
USD