01 · BuildFlagship
Forward Deployed AI Engineer
Own an AI solution end to end — from client discovery to a deployed, monitored system.
- Level
- Advanced
- Duration
- 12–24 weeks
- Weekly
- 8–10 hrs
- Projects
- 4 incl. capstone
Career school for AI, data and product roles
Choose the role.
Build the skills.
Prove you can do the work.
AI4Impact combines structured learning, real-world projects, personal guidance and career acceleration to help you move from learning AI to doing the work.
6role-led tracks
3–4portfolio projects each
Weeklylive clarification
Track · Data & AI Platform EngineerWeek 9 of 16
dags/transactions_daily.py
extract→validate→load→dbt run→test
rows_loaded=1,284,512 · null_rate=0.02% · sla=met
- Lakehouse ingestion pipeline — reviewed
- Data-quality suite — reviewed
- Capstone — in progress
Capstone
Fintech · Payments
Mentor review
“Partitioning strategy is solid. Add a data-quality check before the load step.”
Career tracks
Six roles. One standard:
can you do the work?
Every track is built backwards from a real job: what the role does, what it ships and what hiring managers check.
02 · Data
Data & AI Platform Engineer
Build reliable batch and streaming platforms that feed analytics and AI workloads.
- Level
- Intermediate
- Duration
- 12–16 weeks
- Weekly
- 8–10 hrs
- Projects
- 4 incl. capstone
03 · Data
Data Science, Analytics & Decision Intelligence
Turn messy business data into analysis, models and recommendations leaders act on.
- Level
- Beginner–Intermediate
- Duration
- 10–12 weeks
- Weekly
- 8–10 hrs
- Projects
- 5 incl. capstone
04 · Build
Applied AI & Machine Learning Engineer
Train, deploy and monitor ML models as reliable services, not notebook experiments.
- Level
- Intermediate
- Duration
- 12–16 weeks
- Weekly
- 8–10 hrs
- Projects
- 4 incl. capstone
05 · Build
Generative AI & Agentic Systems Engineer
Build retrieval, tool-using agents and evaluation pipelines that hold up in production.
- Level
- Intermediate–Advanced
- Duration
- 10–12 weeks
- Weekly
- 8–10 hrs
- Projects
- 4 incl. capstone
06 · Product
AI Product & Automation Builder
Find AI opportunities, write the PRD, prototype and launch workflows people adopt.
- Level
- All Levels
- Duration
- 8–10 weeks
- Weekly
- 8–10 hrs
- Projects
- 4 incl. capstone
Is this right for me?
Start from where you want to be.
What do you want to be doing in a year?
Your best-fit track
Forward Deployed AI Engineer
Own an AI solution end to end — from client discovery to a deployed, monitored system.
- You'll need
- Programming fundamentals in any language
- Time
- 12–24 weeks · 8–10 hrs/week
- Roles it prepares you for
- Forward Deployed Engineer · Applied AI Engineer · AI Solutions Engineer
How AI4Impact works
From choosing a role to doing it.
Structured learning, real projects, personal guidance and career acceleration, in that order.
01ChoosePick a role, not a topicSix tracks, each mapped to a job you can apply for. A free call helps you choose.
02LearnRecorded lessons, weekly live helpLearn at your pace. Bring questions to the weekly clarification session.
03BuildProjects on realistic dataThree or four reviewed projects and a fintech-first capstone.
04ProveEarn the professional certificatePass an independently reviewed capstone and defend it.
05MoveOptional Programme+Internship, mock interviews and recruiter recommendations.
Recorded lessonsShort, structured lessons you watch on your schedule.
Hands-on labsEvery week ends with something built, not just watched.
Weekly live clarificationBring blockers to a live session with your trainer.
Assessed projectsReviewed against a rubric, then rolled into your portfolio.
What you build
Projects that look like the job.
Pipelines, dashboards, models and agents built on realistic fintech data, then reviewed against a rubric.
Forward Deployed AI Engineer
POST /v1/score
{
"transaction_id": "txn_8816",
"score": 0.87,
"decision": "review",
"latency_ms": 41
}Merchant settlements API
A production-style API that exposes daily merchant settlements with auth, pagination and audit logs.
Synthetic merchant transactions and settlement batches
- OpenAPI spec
- Test suite
- Deployed endpoint
Data & AI Platform Engineer
dags/transactions_daily.py
extract→validate→load→dbt run→test
rows_loaded=1,284,512 · null_rate=0.02% · sla=met
Fintech transaction pipeline
Incremental ingestion of card transactions into a tested, documented warehouse.
Card transactions, merchants and FX rates
- DAG
- dbt docs
- Quality report
Data Science, Analytics & Decision Intelligence
Payments Conversion · Power BI
Auth rate
94.1%
Failed
3.2%
Drop-off
12%
Payments conversion dashboard
A dashboard tracking authorisation rates, failure reasons and conversion by method and bank.
Checkout sessions and payment attempts
- Dashboard
- KPI dictionary
- Insight summary
Certification
Earn proof of what
you can actually build.
Professional certificates are issued by the AI4Impact Institute of Applied AI (IIAA) and can be verified by any employer.
A4AI4Impact Institute of Applied AI (IIAA)in academic collaboration with XYZ University
SAMPLEThis certifies thatSample Learnerhas met the assessed standard for theAI4Impact Professional Certificate in Forward Deployed AI Engineer
CourseForward Deployed AI Engineer
CapstonePayments reconciliation copilot engagement
AssessmentPassed with distinction
Issued20 Mar 2026
Credential IDIIAA-FDE-2026-000123
A. RaoDirector, IIAA
S. MenonDean, XYZ University
ai4impact.in/verify
What you get by finishing
Course completion
You watched the lessons and submitted the work.
- 90%+ of lessons completed
- All weekly assignments submitted
- Quizzes attempted
Record of completion in your learner profile
What employers can verify
Professional certificate
You proved you can do the work, under assessment.
- Overall assessed score of 70% or more
- Capstone passed by an independent reviewer
- Capstone defence: a recorded walkthrough and Q&A
Verifiable certificate with credential ID and QR code
Optional career layer
Programme+. One
bundle for the
move into the role.
Add it to any track. Five modules that take you from a finished capstone to real interviews, for ₹24,999.
- Learn
- Build
- Intern
- Practise
- Apply
- Interview
01Real-World Internship3 months on a live project, with mentor reviews.Freshers and recent graduates only. Subject to eligibility and project availability.
02Interview BuilderCV review, 10 AI-assisted mock interviews and a plan to improve.
03Recruitment SupportRecommendations through 10+ recruitment and consultancy relationships.
04Weekly Group ClarificationA recurring live session every week for questions and reviews.
05Personal HandholdingFive individual 30-minute sessions, booked when you need them.
Trainers
Learn from people
who do this work.
BMBhaskar MAzure data engineering, Databricks and Microsoft Fabric
KNKamal K NaiduAnalytics, SQL, KPIs and business dashboards
SLShuja L PData visualisation, storytelling and web visuals
NGNaveen GStatistics, machine learning and explainable models
PNPuneet NischalLLM applications, RAG and agentic systems
RRiteshProduct discovery, PRDs, metrics and AI products
Compare
All tracks at a glance.
| Track | Family | Level | Duration | Weekly effort | Projects | Fee |
|---|---|---|---|---|---|---|
| Forward Deployed AI Engineer | Build | Advanced | 12–24 weeks | 8–10 hrs/week | 4 | ₹69,999 |
| Data & AI Platform Engineer | Data | Intermediate | 12–16 weeks | 8–10 hrs/week | 4 | ₹49,999 |
| Data Science, Analytics & Decision Intelligence | Data | Beginner–Intermediate | 10–12 weeks | 8–10 hrs/week | 5 | ₹39,999 |
| Applied AI & Machine Learning Engineer | Build | Intermediate | 12–16 weeks | 8–10 hrs/week | 4 | ₹49,999 |
| Generative AI & Agentic Systems Engineer | Build | Intermediate–Advanced | 10–12 weeks | 8–10 hrs/week | 4 | ₹44,999 |
| AI Product & Automation Builder | Product | All Levels | 8–10 weeks | 8–10 hrs/week | 4 | ₹34,999 |
Free career guidance
Not sure which
role fits you?
Book a free 20-minute call. We look at your background and tell you honestly which track fits, or if none of them do yet.