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AI Engineering: Building the Future of Generative Systems
Transition from Software Engineer to AI Engineer by mastering LLMs, RAG, and Agentic Architectures.
- Interactive Video Mode
- Exercises
- Revision Mode
- Completion Certificate
6 Modules
11 Chapters
11h 12m
Get Your CertificateUpon 90% completion
Curriculum
Explore every module and chapter in this course.
Module 1
LLM Integration Fundamentals
2 Chapters • 2h 2m
Module 1
LLM Integration Fundamentals
2 Chapters • 2h 2m
Chapter 1
The AI Engineer Roadmap
56mChapter 2
Connecting to Foundation Models
1h 6m
Module 2
Prompt Engineering for Logic
2 Chapters • 2h 2m
Module 2
Prompt Engineering for Logic
2 Chapters • 2h 2m
Chapter 3
Reasoning and Strategy
~ 1h 1mChapter 4
Structured Outputs and Security
~ 1h 1m
Module 3
Data Grounding with RAG
2 Chapters • 2h 2m
Module 3
Data Grounding with RAG
2 Chapters • 2h 2m
Chapter 5
Embeddings and Vector Databases
~ 1h 1mChapter 6
Retrieval and Indexing Strategies
~ 1h 1m
Module 4
Workflow Orchestration
2 Chapters • 2h 2m
Module 4
Workflow Orchestration
2 Chapters • 2h 2m
Chapter 7
Chaining with LangChain
~ 1h 1mChapter 8
Data Bridging with LlamaIndex
~ 1h 1m
Module 5
Agentic Architectures
2 Chapters • 2h 2m
Module 5
Agentic Architectures
2 Chapters • 2h 2m
Chapter 9
The ReAct Pattern
~ 1h 1mChapter 10
Agent Orchestration Frameworks
~ 1h 1m
Module 6
Career Strategy
1 Chapters • 1h 1m
Module 6
Career Strategy
1 Chapters • 1h 1m
Chapter 11
Future-Proofing Your Career
~ 1h 1m