Full-Stack AI Application Development

A 2-day intensive building a complete AI-powered application — from RAG backend to agent-driven UI to deployment

Course Format and Delivery

Delivery Method: LiveOnline
Schedule: 2 days

All sessions are delivered live by an expert instructor in a fully interactive online environment.

*20% off for group bookings when booking 3 or more attendees from the same organization on the same course dates in the same transaction.

About this course

Most AI training teaches individual techniques in isolation. This 2-day intensive connects them: participants build a complete, production-ready AI application integrating RAG retrieval, agent orchestration, MCP tool connectivity, streaming UI, and observability. Day 1 builds the intelligent backend (ingestion, hybrid search, agent logic with MCP tools). Day 2 builds the user-facing application (streaming React chat UI, authentication, deployment with Docker/CI/CD, LangSmith monitoring). Participants leave with a deployed, working application and the architectural patterns to build more.

What you will need

For full-stack developers and application engineers. Experience with Python and basic web dev (JavaScript/TypeScript) required; React familiarity helpful for Day 2. Combines RAG, Agents, and Observability content into an application-centric format. Approximately 30% lecture, 70% hands-on building.

Topics Covered

Day 1: Intelligent Backend

Time	Topic	Type
9:00 – 9:30	Welcome, architecture overview, environment setup	Setup
9:30 – 10:15	Application architecture: components, data flow, API design	Lecture
10:15 – 11:00	Lab: Project scaffold and API skeleton with FastAPI	Hands-on
11:00 – 11:15	Break	Break
11:15 – 12:00	Document processing and RAG pipeline design	Lecture
12:00 – 12:45	Lab: Build the ingestion pipeline with hybrid search	Hands-on
12:45 – 1:45	Lunch	Break
1:45 – 2:30	Agent logic: tool calling, MCP integration, conversation memory	Lecture
2:30 – 3:30	Lab: Build the agent backend with RAG + MCP tools	Hands-on
3:30 – 3:45	Break	Break
3:45 – 4:30	Streaming responses, error handling, API hardening	Lecture
4:30 – 5:15	Lab: Add streaming, retry logic, comprehensive error handling	Hands-on
5:15 – 5:30	Day 1 recap and Day 2 preview	Discussion

Day 2: User-Facing Application & Deployment

Time	Topic	Type
9:00 – 9:15	Day 1 review and questions	Discussion
9:15 – 10:00	Frontend patterns: streaming chat UI, markdown rendering, file upload	Lecture
10:00 – 11:00	Lab: Build a streaming chat interface with React	Hands-on
11:00 – 11:15	Break	Break
11:15 – 12:00	Authentication, rate limiting, multi-tenancy patterns	Lecture
12:00 – 12:45	Lab: Add auth, rate limiting, user session management	Hands-on
12:45 – 1:45	Lunch	Break
1:45 – 2:30	Observability: LangSmith tracing, evaluation, cost tracking	Lecture
2:30 – 3:15	Lab: Instrument the full stack with LangSmith and add eval suites	Hands-on
3:15 – 3:30	Break	Break
3:30 – 4:15	Deployment: containerization, CI/CD, scaling, cost management	Lecture
4:15 – 5:00	Lab: Deploy the complete application with Docker and CI/CD	Hands-on
5:00 – 5:30	Architecture review, scaling strategies, wrap-up	Discussion

Brent Laster

Facilitator

Brent Laster is a global trainer, author, speaker, and founder/president of Tech Skills Transformations LLC. He helps enterprise teams adopt modern software practices in AI engineering, AI-assisted development, DevOps, automation, and secure software delivery. He is the author of Learning GitHub Copilot, Learning GitHub Actions, Professional Git, and Jenkins 2: Up and Running, as well as multiple online and live training programs for companies such as O'Reilly. In addition to AI expertise, Brent brings more than 25 years of experience in software development, management and technical leadership, DevOps, release engineering, and open-source technologies. He regularly presents and conducts workshops at industry conferences and for private clients.