Move from AI demos to production-grade agentic applications.
4 weeks intensiveAdvancedProduction Agentic AiRecording access for 120 days
4 weeks intensive with Live intensive sessions with architecture walkthroughs and project practice so learners leave with design and build a production-style agentic ai application..
Why this guided path works
One cohort, one rhythm, one stronger route into applied execution.
The value is not just live sessions. It is the combination of structure, workbook practice, reusable templates, and guided momentum across multiple focused weeks.
What you are really buying
4 weeks intensive of guided learning
Live intensive sessions with architecture walkthroughs and project practice with accountable rhythm
Materials that stay useful after each live session ends
What you will walk away with
Architecture blueprintRAG/tool integration planEval checklistProduction review plan
What is included
Live intensive sessions
Architecture walkthroughs
Project practice
Review checklists
Certificate of completion
Recording access for 120 days
4-week curriculum
Move through one focused live path with applied practice each week.
The course is structured around guided practice, reusable templates, and a practical capstone direction that helps you apply AI with more confidence.
What you will build or achieve
Design and build a production-style agentic AI application.
Design and build a production-style agentic AI application.
Internal knowledge assistant
Document Q&A app with RAG
Tool-using workflow agent
Support copilot
Who this is for
Built for learners who want a practical path instead of random AI tips.
developers
tech leads
solution architects
AI engineers
Week 1
Production AI app foundations
Design a production-style AI application blueprint before writing code or wiring tools.
LLM application architecture
Agentic patterns and anti-patterns
Tool calling and function calling
Context and state management
Cost and latency tradeoffs
Exercise: Design an agentic AI app blueprint.
Week 2
RAG, tools and integrations
Connect retrieval, tools, integrations, and permissions into a grounded assistant workflow.
RAG architecture
Vector databases
Retrieval quality
MCP and tool integrations
Data permissions
Exercise: Build a small knowledge assistant flow.
Week 3
Reliability, evals and observability
Move beyond demos with evals, regression checks, tracing, guardrails, and failure analysis.
Eval suites
Regression testing for prompts
Tracing and logs
Guardrails
Failure modes
Exercise: Create an eval and monitoring checklist.
Week 4
Capstone production design
Review deployment readiness, security, human-in-the-loop design, and scaling tradeoffs.
Deployment readiness
Security and privacy
Human-in-the-loop design
Scaling considerations
Production review
Capstone: Build or design a production-style agentic AI application.
Capstone project
Build or design a production-style agentic AI application.
You finish with course project work that matches the course promise and gives you a practical capstone direction.
Live sessions, resources, and recordings stay organized in your learner account.
4 weeks of live guided learning. Live intensive sessions with architecture walkthroughs and project practice. Recording access for 120 days. Session recordings available in your learner account after each live session.
Learning duration
4 weeks intensive of live guided rhythm
Live intensive sessions with architecture walkthroughs and project practice keep the cohort moving in one steady pattern
Live sessions are delivered across the guided cohort window
Upcoming cohort dates will be announced before the batch opens
Recording access
Recording access for 120 days
Recording access for 120 days. Session recordings available in your learner account after each live session.
Workbook, templates, notes, and examples stay inside your learner account after each live session
Recordings are view-only and available for the access window
Course promise
Build reliable agentic AI apps beyond demos.
Learner outcome
Design and build a production-style agentic AI application.
Capstone direction
Internal knowledge assistant
What this helps with
Choose this when you want one guided path, not another stack of disconnected AI content.
This course is for learners ready to stay with one focused live route and leave with better execution habits, stronger judgment, and reusable assets.
Who should choose this course
Choose it when you want one structured route that keeps you moving through a focused cohort.
developers
tech leads
solution architects
AI engineers
This is the better fit when the main need is guided structure, live accountability, and a calmer progression from the course promise into applied work.
Included in the cohort
The cohort includes the resources that keep the learning useful after each live session ends.
Live intensive sessions
Architecture walkthroughs
Project practice
Review checklists
Certificate of completion
Recording access for 120 days
These assets exist so the cohort feels like a guided learning system, not just temporary live access.
FAQ
Common questions before you enroll.
Is coding required?
Yes. This course expects coding comfort because the project work includes technical implementation and review.
What if I miss a session?
Session recordings are available in your learner account after each live session. Recording access for 120 days.
Will recordings be available?
Yes. Recordings are view-only and available inside your learner account during the access window.
Will I get a certificate?
Yes. Learners who complete the required course work receive a certificate of completion.
Is this beginner-friendly?
This is an advanced course, so it is best for learners with technical background and implementation experience.
How is this different from watching free videos?
Free videos can teach isolated tips. This cohort gives you a sequence, guided practice, reusable resources, quality checks, and a practical capstone direction.
Learning approach
Practical learning, not passive watching.
The cohort is designed around guided practice, reusable templates, and review habits that help learners use AI with better judgment.
Guided practice
You apply concepts through structured exercises instead of only watching lectures.
Clear direction
Each session helps you move toward a practical workflow, prototype, or implementation direction.
Review mindset
You learn how to check AI output, improve it, and avoid blind trust.
Led by a practitioner
Practical AI training grounded in real work.
This program is designed from real AI product, automation and platform experience, with a focus on practical workflows, quality checks and production thinking.