Video course · 15 chapters · 1374 min · certificate
GenAI Essentials – Full Course for Beginners
Andrew Brown's 20+ hour GenAI Essentials: roadmap and maturity, dev tools, AI fundamentals, local deployment, prompting and agents, data engineering, vector stores, hardware, model optimisation, benchmarks, cloud AI platforms, structured outputs, assistants, Azure AI Foundry, quantisation and distillation, RAG prompting, chain of thought, ReAct, infrastructure as code and AI careers.
What you'll learn
- Map the GenAI landscape and roadmap
- Deploy models locally and in the cloud
- Use advanced prompting: CoT and ReAct
- Build with vector stores and RAG
- Optimise models with quantisation and distillation
- Prototype agentic apps and assistants
Chapters
15 chapters · 1373:55-
103:59
01Foundations Members
Introduction, roadmap and fundamentals
The big picture.
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72:06
02Prompting Members
Local deployment, prompting and agents
Techniques.
-
46:42
03Hardware Members
Hardware, architecture and data science
Under the hood.
-
68:28
04Platforms Members
Benchmarks, cloud platforms and APIs
Compare and call.
-
58:00
05Workflows Members
Assistant workflows and real apps
Build real things.
-
82:12
06Evaluation Members
Data mining, evaluation and search
Benchmark assistants.
-
76:57
07Agents Members
Agentic prototyping and platform comparison
Frameworks.
-
59:57
08Optimisation Members
Azure AI Foundry, serving and compression
Smaller models.
-
96:51
09Real-time Members
Real-time apps and orchestration
Workflows.
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83:37
10Prompting Members
Structured JSON, Replicate, RAG prompting, CoT
Advanced prompts.
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95:16
11ReAct Members
Assistant design, FastHTML and ReAct
Reason + act.
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83:50
12IaC Members
Cloud dev platforms and IaC
Terraform.
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52:57
13Careers Members
Data modelling and AI careers
Roles.
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111:33
14RAG Members
Assistant tools, agentic workflows and RAG
Knowledge retrieval.
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281:30
15Wrap-up Members
Conclusion and next steps
Keep going.
Jobs this course suits
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