AI Professional
Specialise Build Ship
100% Placement Assistance · 1,000+ Hiring Partners · Rooman + NSDC Recognition
- Industry-Relevant Curriculum
- Hands-On Training
- Experienced Instructors
- Placement Assistance
- Live Real-Time Projects
240 Hrs
Online · Live cohort with specialisation tracks
Rooman AI Professional Certificate (specialisation-stamped)
Course Overview
AI Professional is Tier 2 of the Build AI engineer pipeline. A 240-hour, 60-day specialisation programme for AI Foundation graduates. Choose one of five specialisation tracks — Cloud & DevOps, Full-Stack with GenAI, AI & Data Analytics, Cyber Security Expert, or Generative AI & MLOps — and build production-grade capability in your chosen domain. Each track includes deep curriculum, four capstone projects, and direct pathway to either AI Expert (Tier 3) or a paying mid-level AI engineering role.
Key Features
Duration
2 months · 60 days · 240 hours · ~30 hrs/week
Mode
Online · Live cohort with specialisation tracks
Projects
4 capstone projects per track (Track-specific — see your chosen specialisation)
Certification
Rooman AI Professional Certificate (specialisation-stamped)
Placement Support
Resume + interview prep, AI Engineer Tier 3 pathway, hiring partner intros
Tools Covered
Specialisation-specific — AWS, Azure, Kubernetes, MERN, Python, OpenAI APIs, MLflow, Splunk, Power BI, and more
Skills Covered
✓ Deep specialisation in one of 5 high-demand domains
✓ Production-grade AI engineering practices
✓ Four real-world capstone projects in your specialisation
✓ Cloud-native AI deployment and operations
✓ Industry-aligned curriculum updated quarterly
✓ Code review and technical communication discipline
✓ Foundation for AI Engineer Tier 3 (in-person pod-ready)
✓ Direct pathway to mid-level AI engineering roles
Course Curriculum
6 modules built end-to-end from fundamentals to capstone.
Track 1 — Cloud and DevOps
- AWS / Azure deep dive — production architectures
- Kubernetes orchestration at scale
- Terraform and infrastructure as code
- CI/CD pipelines with Jenkins and GitHub Actions
- Monitoring with Prometheus, Grafana, ELK
- 4 capstones — AWS infra, CI/CD pipeline, K8s deployment, monitoring stack
Track 2 — Full Stack Development with Gen AI
- Modern MERN stack — MongoDB, Express, React, Node.js
- OpenAI APIs and LangChain integration
- AI-powered chatbot development
- RAG (Retrieval-Augmented Generation) patterns
- Production deployment of AI-augmented web apps
- 4 capstones — portfolio site, task manager, e-commerce app, AI chatbot
Track 3 — AI and Data Analytics
- Python for data analytics — Pandas, NumPy advanced
- SQL mastery for data analysts
- Power BI and Tableau dashboards
- Machine learning fundamentals — supervised, unsupervised
- AI-augmented analytics workflows
- 4 capstones — retail analytics, HR analytics, financial dashboard, marketing campaign
Track 4 — Cyber Security Expert
- Information security foundations and frameworks
- Network security and firewall management
- Ethical hacking and penetration testing
- Security operations and SIEM (Splunk, ELK)
- Cloud security — AWS and Azure
- 4 capstones — VAPT exercise, SOC triage, cloud audit, incident response
Track 5 — Generative AI and MLOps
- NLP and computer vision foundations
- LLMs, transformers, prompt engineering at depth
- Generative AI and agentic systems — LangChain, LangGraph
- MLOps — MLflow, Kubeflow, CI/CD for ML
- Model deployment and serving at scale — FastAPI, Triton
- 4 capstones — RAG Q&A system, fine-tuned LLM app, MLOps pipeline, multimodal AI
Cross-track — Career Readiness
- Resume and LinkedIn workshop
- Mock technical interviews — track-specific
- Mock HR and behavioural interviews
- Portfolio building and GitHub presence
- Pathway briefing — AI Engineer Tier 3 vs hiring partner placement
Salary Scale
8 LPA
12 LPA
20 LPA
Mid-level salaries for AI Professional graduates. Specialisations in Generative AI & MLOps and Cyber Security command higher ranges (₹12-25 LPA).
Job Roles You Can Target
AI Expert
MLOps Engineer
Full-Stack AI Developer
Cloud AI Specialist
Data Engineer / Analyst
Cybersecurity Engineer (AI-augmented)
Eligibility Criteria
- AI Foundation (Tier 1) completion — required
- Or equivalent technical background + AI Foundation challenge exam pass
- Engineering or CS degree preferred
- Demonstrated ability to ship a working AI application
Tools & Technologies
Training Options
Online Training
₹40,000 ₹30,000 Including Taxes*
- Certified Industry Expert Trainers
- AI-Powered LMS with 1-Year Access
- Hands-on Lab Exercises & Capstone Project
- Resume / Portfolio Workshop & Job Assistance
- Industry-Recognized Course Completion Certificate
Classroom Training
₹55,000 ₹42,000 Including Taxes*
- Certified Industry Expert Trainers
- AI-Powered LMS with 1-Year Access
- In-Person Mentorship & Doubt Solving
- Fully Equipped Labs & Collaborative Learning
- Campus-Like Environment with Networking
Why Join this Program
Earn a Job
Complete job assistance tailored to your career goals. Expert placement guidance.
Industry-Expert Trainers
Learn from seasoned trainers. Real-world insights that go beyond textbooks.
Industry-Relevant Tools
Hands-on exercises and projects with integrated lab access. Latest tools.
Structured Curriculum
Industry-vetted, expert-shaped curriculum. Career-ready from day one.
Integrated Gen AI Modules
Cutting-edge Generative AI modules aligned with emerging tech trends.
Interview Prep & Placement
Sharpen interview skills with practical training. Complete placement support.
Program FAQ
Can I take more than one specialisation track?
Yes — second track at 50% discount. Most learners pick one and go deep.
Which track has the highest salary outcomes?
Generative AI & MLOps and Cyber Security typically command 20-30% higher salaries than the others.
How is this different from the 5 Professional Programmes?
Same 5 specialisations, but AI Professional is positioned as Tier 2 of the Build AI pipeline — prerequisite for AI Expert (Tier 3).
Do I need AI Foundation first?
Yes, AI Foundation (or equivalent) is required. The challenge exam is the only alternative.
Are tracks delivered in parallel cohorts?
Yes. Each track runs as its own cohort. Pick the track that matches your career goal.
What if I want to pivot tracks mid-programme?
First 2 weeks have a track-switch grace period. Beyond that, you complete your original track.
Ready to start? Next cohort opens soon.
Limited seats per batch. 100% placement assistance.