AI Engineering
Build production LLM apps with agents, RAG, evals, and deployment workflows.
Level
Intermediate
Duration
64 hours
Lessons
54 lessons
Coming soon
SkillVerse is currently launching with the AI Creator certification. This course will be released after the flagship course experience is complete.
Deploy a customer-support AI assistant with tracked evaluations.
Ship a retrieval-augmented assistant with source citations
Design agent workflows with tool calling and guardrails
Evaluate model quality, latency, and refusal behavior
Each module includes practical lessons, time estimates, and project checkpoints.
64 hours total
Understand how modern language models behave before building on top of them.
Design system, developer, and user prompts with predictable outputs.
Generate embeddings, compare vector distance, and reason about recall.
Control cost, latency, and truncation in long-context workflows.
Choose between fast, reasoning, and multimodal models for product tasks.
Build retrieval pipelines that cite sources and handle messy knowledge bases.
Parse PDFs, pages, and notes into clean chunks with metadata.
Compare fixed, semantic, and hierarchical chunking approaches.
Improve relevance with hybrid retrieval and reranking stages.
Return grounded answers with source snippets and confidence states.
Add tool calling, safety checks, and measurable quality gates.
Connect APIs, functions, and structured outputs to agent workflows.
Handle sensitive requests, hallucinations, and unsafe tool usage.
Create test suites for accuracy, latency, and answer consistency.
Ship logging, monitoring, fallback behavior, and cost controls.
