Connect products and AI
Translate a user need into APIs, data flows and a testable application.
APPLIED AI ENGINEERING
AI Forward Deployed
Engineer.
Build AI that
gets used.
Move from using AI tools to building AI applications. Connect models, company knowledge and backend tools to workflows that solve real user and business needs.
IntermediatePython · APIs · Retrieval · Agents
✓LLM application building✓Knowledge & tool integration✓Evaluation & deployment
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APPLIED AI ENGINEERING
Start with the workflow.
Build AI around the need.
Connect AI capabilities to real product and business needs. Build APIs, retrieval and tool-using agents, then evaluate and deploy the workflows you create.
Build with retrieval and tools
Combine company knowledge, model APIs and controlled tool-using workflows.
Evaluate before you rely on it
Measure output quality, inspect failures and improve deployment from feedback.
Your skills matter in the AI era.
Learn on the building side of AI: APIs, retrieval, agents and evaluation. Focus on how the complete application behaves, including its grounding, permissions, failure modes, cost and latency.
A ROADMAP THAT BUILDS ON ITSELF
From a business need
to an evaluated AI workflow.
Build the backend, connect model APIs, add retrieval and tools, then evaluate and deploy the workflow.
Understand→Build→Review
Download AI Engineering syllabus
Complete topics, assignments and learning outcomes.
Product thinking & backend foundations
- User and business requirements
- Python application structure
- HTTP and REST
- FastAPI
- Database integration
- Input validation
Put it into practice Turn a business workflow into a requirements brief and a working backend API.
Translate a user need into a testable application boundary.
LLM application engineering
- LLM APIs
- Prompt design
- Structured outputs
- Context management
- Streaming concepts
- Cost and latency
Put it into practice Build an API that returns validated, structured model output.
Integrate a model into an application with clear inputs and outputs.
Retrieval & company knowledge
- Document ingestion
- Chunking
- Embeddings
- Vector databases
- Retrieval
- Source citations
Put it into practice Create a knowledge assistant that retrieves documents and cites its sources.
Connect model responses to relevant, traceable information.
Agents & workflow integration
- Tool calling
- Multi-step workflows
- API integration
- Human review
- Permissions
- Failure handling
Put it into practice Build an operations agent that uses tools and routes consequential actions for review.
Design a workflow that connects AI reasoning to controlled application actions.
Evaluation, deployment & capstone
- Evaluation datasets
- Grounding checks
- Logs and tracing
- Docker
- Deployment configuration
- Iteration from user feedback
Put it into practice Deploy and evaluate an AI workflow, then present its behaviour, limitations and operating costs.
Measure, deploy and improve an AI application in a real workflow.
AI CONCEPTS, MADE CONCRETE
Build on the AI side.
Make the workflow useful.
Explore project ideas that bring the AI Engineering curriculum together. Build, test and explain the decisions behind your work.
PROJECT IDEA · APPLIED PRACTICE
Internal Operations Agent
Connect company knowledge and backend tools to a workflow that routes actions for human review.
PROJECT IDEA · APPLIED PRACTICE
Document Intelligence Pipeline
Extract document data, validate fields and queue exceptions for review.
PROJECT IDEA · APPLIED PRACTICE
Sales Research Agent
Gather context from connected sources and draft a research brief with citations.
Define a useful task. Build the workflow. Measure the result.
Find my learning routine
Each curriculum module includes practical work to help you apply and review the idea.
YOUR CENTRE. YOUR SCHEDULE.
Choose where.
Choose when.
Choose NSP or Noida, then find the weekday or weekend schedule that fits you.
AI Engineering at NSP, Delhi
No upcoming batches at this centre.
Our team can help you find your next available batch.
Talk to an advisorSchedules and fees shown are previews. Our team will confirm availability, mentor and final fee before enrolment.
Your selected batch
NSP · DELHINetaji Subhash Place+91 99993 21553
NOIDA · SECTOR 2Near Sector 15 metro+91 99995 79111
Real people. Real milestones.
Our torchbearers.
Just getting started.
Meet Coding Blocks learners whose practice and persistence led to opportunities at leading companies.
Aditya
Iti Jain
Simarpreet Sikka
Vishesh
Jashpreet Malhotra
Sahil Bansal
Shervil Gupta
Ashanka Saha
Sandipan Dutta
Lavisha Malik
Manali Biswas
Mohit K.
BEFORE YOU START
A little clarity.
A confident next step.
Need help with your starting point or schedule?
Talk to an advisorWhat should I know before joining?
A working knowledge of Python and basic application development is helpful. The roadmap reviews backend and API foundations before moving into model integration, retrieval, agents and deployment.
What will I practise and build?
The roadmap covers product thinking & backend foundations, llm application engineering, retrieval & company knowledge, agents & workflow integration, evaluation, deployment & capstone. Project ideas include Internal Operations Agent, Document Intelligence Pipeline, Sales Research Agent. Ask your advisor to confirm the work and review process for your selected batch.
How does AI fit into this course?
Learn on the building side of AI: APIs, retrieval, agents and evaluation. Focus on how the complete application behaves, including its grounding, permissions, failure modes, cost and latency.
How do I choose a centre and schedule?
Use the NSP and Noida selector to compare any published weekday and weekend schedules. If a centre has no listed batch, our team can help you check upcoming availability. Ask about live online options if you prefer to learn remotely.
What are the fees, duration and mentor details?
These depend on your selected batch. Review the available schedule and fee together, and ask our team to confirm the current duration, mentor allocation and enrolment details.
How do I download the syllabus?
Share your details to download the AI Engineering syllabus. If the download doesn’t work, you can request it from our team.
YOUR NEXT CHAPTER STARTS HERE
Build your AI Engineering skills.
Take the next step.
Start with a clear roadmap and a batch that fits your routine.