AI Engineering Program · Part 3 of 3

AI Engineering 3: AI in Production – Deploy, Evaluate & Scale

Turn prototypes into products: production backends, cloud deployment, evaluation, guardrails, observability and cost control for LLM apps.

⏱ 2 months◆ Intermediate → Advanced● Live + hands-on★ Internship eligible
Mentored by Amit Singh, CTO, Incred · Ex-LangChain, NVIDIA, IBM

What you'll learn

  • Build production APIs for AI apps with FastAPI or Express
  • Build polished front-ends with Next.js and streaming
  • Deploy on AWS (Lambda, App Runner, Bedrock) and Vercel
  • Evaluate LLM apps with test sets and LLM-as-judge
  • Defend against hallucination and prompt injection
  • Trace, monitor and control token costs
  • Automate AI deployments with CI/CD and Terraform
  • Launch a real SaaS AI product

Curriculum

6 modules · 18 topics · hands-on labs in every module
Week 1-2: From Notebook to Product4 topics
  • Production backends: FastAPI / Express
  • Next.js front-ends with streaming
  • Auth, rate limiting and user management
  • Project: SaaS AI app skeleton
Week 3: Deploying to the Cloud3 topics
  • Docker for AI apps
  • AWS Lambda, App Runner and Bedrock
  • Vercel and edge deployments
Week 4: Evaluation & Guardrails3 topics
  • Building evaluation datasets
  • LLM-as-judge and regression testing
  • Hallucination checks and prompt-injection defence
Week 5: Observability & Cost3 topics
  • Tracing with LangSmith / Langfuse
  • Caching, batching and token budgets
  • Latency optimisation
Week 6: Scaling & MLOps for GenAI3 topics
  • CI/CD for AI applications
  • Infrastructure as code for AI workloads
  • Versioning prompts, models and data
Week 7-8: Capstone – Launch2 topics
  • Capstone: launch an AI product to real users
  • Pitch it to Incred: eligible for venture backing

Requirements

About this program

Part 3 of the AI Engineering program. Most AI demos never become products. This course closes that gap using the same practices we use to run live AI features for global users.

Your capstone is a real product. If it shows promise, it can become an Incred vertical and you can own a share of it.

After this program you can join the 6-month internship and take part in the ownership model: build an Incred vertical and earn a share, sell your product locally, or pitch your own idea for funding.


Your mentor

Amit Singh

Amit Singh

CTO, Incred Applications Pvt Ltd · IIT Delhi alumnus

Leads the global engineering team of incred.golf across Germany, London, Croatia, India and Denver. Ex-lead at LangChain; previously with NVIDIA and IBM.