AI Product Engineering
Build, Launch, and Iterate AI-Powered Products from Idea to Production
In this course, you will: Apply product engineering principles to the AI-powered software development lifecycle; Design and build AI features from user story to production deployment; Integrate LLM APIs, voice UI, and multimodal inputs into user-facing products.

40+
Hours
8
Modules
14
Topics
4.7
Rating
Beginner-Friendly
Level
New
Batches weekly
About AI Product Engineering
Build, Launch, and Iterate AI-Powered Products from Idea to Production
In this course, you will: Apply product engineering principles to the AI-powered software development lifecycle; Design and build AI features from user story to production deployment; Integrate LLM APIs, voice UI, and multimodal inputs into user-facing products.
What This Training Covers
The AI Product Engineering programme at Tutorsbot spans 40+ hours across 8 structured modules. Every module is built around hands-on projects and real-world scenarios — not slide-heavy theory. Your instructor walks you through each concept with live demonstrations, code reviews, and practical exercises so you can apply what you learn from day one. The curriculum is aligned with current Technology Training industry expectations and hiring patterns.
Enrollment & Training Quality
AI Product Engineering is available in 2 flexible learning modes — choose online live classes, classroom, hybrid, self-paced, or one-on-one depending on your schedule. Every batch is limited in size to ensure each learner receives personal attention, code-level feedback, and doubt resolution. Career support and certification are included with every enrolment. Tutorsbot instructors are working professionals who teach from delivery experience, and the training standard stays consistent across all modes and batches.
Course Curriculum
8 modules · 14 topics · 40 hrs
01AI Product Engineering Mindset
7 topics
AI Product Engineering Mindset
7 topics
- AI-first product design — Where AI creates real user value vs where it is hype
- AI product engineering lifecycle — Discover, prototype, evaluate, ship, iterate
- Probabilistic outputs — Designing products that handle non-deterministic AI
- AI product failure modes — Hallucination, latency, refusal, and cost overruns
- Build vs buy decisions for AI features — APIs, fine-tuned models, and open-source
- AI feature flag strategy — Progressive rollouts for intelligent features
- Success metrics for AI features — Task completion, NPS, and AI-specific KPIs
02LLM API Integration Patterns
7 topics
LLM API Integration Patterns
7 topics
- OpenAI, Anthropic, and Google API abstraction layers for provider flexibility
- Streaming completions with Server-Sent Events for real-time UI updates
- Function calling and structured output for reliable AI feature data contracts
- Multi-turn conversation management — State, history, and context injection
- Retry strategies, timeout handling, and provider fallback patterns
- Cost-aware API calls — Token estimation and budget enforcement per request
- Type-safe LLM integration with TypeScript SDK and Zod schema validation
AI UX Design Patterns
Topics included
5 more modules available
Enter your details to unlock the complete syllabus
Enrol in This Course
All prices inclusive of 18% GST. Same curriculum & certification across all formats. Updated Aug 2026.
Online Live
Live instructor-led sessions from anywhere, with recordings for catch-up.
GST ₹2,288 included
EMI from ₹2,500/mo
or
What You Get After Completion
Every graduate receives a verified certificate, a portfolio of real projects, and dedicated career support.
Verified Certificate
Digitally signed with a permanent shareable link — not just for attendance.
LinkedIn-importable·Permanent URL·PDF download
Project Portfolio
Real, deployable projects reviewed by your instructor — ready for interviews.
Instructor-reviewed·GitHub-hosted·Interview-ready
Career Support
Résumé review, mock interviews, LinkedIn guidance, and employer introductions.
1-on-1 coaching·Mock interviews·Employer connect
Meet Your Instructor
Every AI Product Engineering batch is led by a practitioner who teaches from production experience, not textbooks.
Industry Expert
Senior Technology Professional
Senior professionals with substantial hands-on delivery experience at top companies, bringing real-world projects, industry insights, and best practices.
How We Teach
- Concepts start with a real problem so theory lands in context
- Projects reviewed the way a senior colleague reviews pull requests
- Every topic includes the kind of questions you'll face in interviews
Hire AI Product Engineering Talent from Tutorsbot
Companies hiring AI Product Engineering talent from Tutorsbot receive pre-assessed profiles backed by project work, instructor review, and interview-ready candidates who can explain what they built and why.
Why hire from us
Project repositories with documented technical decisions
Assessment outcomes backed by instructor context
Candidate readiness shaped by interview-style practice
Project-based portfolios available
Frequently Asked Questions
Everything you need to know about AI Product Engineering, answered by our training experts
1Who should take AI Product Engineering?
2Does AI Product Engineering include a certificate?
3Is placement support included with AI Product Engineering?
4How long does AI Product Engineering take to complete?
5What is the mode of delivery for AI Product Engineering?
6Can I get a free demo class for AI Product Engineering?
7What kind of projects will I work on in AI Product Engineering?
8What if I miss a class?
9Is AI Product Engineering worth it for experienced professionals?
10What is the refund policy for AI Product Engineering?
11Do you offer corporate or group training?
12How are the instructors selected at Tutorsbot?
13Will I get lifetime access to AI Product Engineering materials?
14Can I switch between batch timings?
15What support do I get after completing the course?
Still have questions?
Technology Training