13 minutesRAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models
Choose between prompt engineering, RAG, fine-tuning or a combination based on the actual failure mode.
AdvancedAI for Business
Introducing RAG 2.0: Agentic RAG + Knowledge Graphs (FREE Template)
Cole Medin. A working agentic-RAG-plus-knowledge-graph build, with the agent deciding when to do vector search, when to hit Neo4j, and when to do both. It's the cleanest demonstration on YouTube of the "agent as the retrieval planner" pattern the article describes, in code you can actually pull down and run.
AI Expert note
Treat template dependencies, model choices and orchestration code as version-sensitive. The useful idea is retrieval planning; production use still needs permissions, evals and failure handling.
What you should get from this
Compare agentic retrieval and graph retrieval in a concrete implementation.
Watch or know first
Comfortable with basic RAG, graph databases and running a template locally.
Last reviewed: May 18, 2026
Watch next
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157 minutesFine Tuning LLM Models – Generative AI Course
You will be able to run quantisation, LoRA and QLoRA fine-tunes end to end on hardware most developers already have.
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15 minutesHow We Build Effective Agents: Barry Zhang, Anthropic
Design simpler agent loops with clear stopping rules, task boundaries and human control points.
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Take it further
Hand-picked external courses that go deeper on this topic.
Coursera · Emory UniversityGenerative AI in Marketing
Emory University Goizueta Business School faculty
The deeper, university-level counterpart to our beginner HubSpot marketing pick — Emory's business-school treatment goes past 'how to prompt' into training generative models for brand-specific output, the purchase-funnel economics of AI-generated content, and a full module of genuine skepticism about when generative AI is and isn't worth using in marketing.
Advanced~14 hours · self-paced (4 modules)
Coursera · IBMGenerative AI for Executives and Business Leaders
IBM AI Academy
The genAI-era answer to the executive-strategy question. Three short courses aimed squarely at business leaders — no technical background required — on where generative AI creates value, how to govern it responsibly, and how to turn a vague "we should use AI" into a concrete, defensible use case. Rated 4.6 across ~700 reviews. Best taken before your next AI budget decision.
Advanced~10 hours · 3-course specialization