AI Foundation · 1 month · 30 days · 120 hours · ~30 hrs/week
AI FORWARD · BUILD AI · TIER 1

AI Foundation

Python  AI Agents  Full-Stack

100% Placement Assistance · 1,000+ Hiring Partners · Rooman + NSDC Recognition

  • Industry-Relevant Curriculum
  • Hands-On Training
  • Experienced Instructors
  • Placement Assistance
  • Live Real-Time Projects
Course Duration

120 Hrs

Delivery Mode

Online · Live cohort + recorded sessions

Certification

Rooman AI Foundation Certificate + portfolio

Course Overview

AI Foundation is Tier 1 of the Build AI engineer pipeline. A 120-hour AI-first programme for fresh graduates and career switchers entering AI engineering. Six phases, sixteen modules — Python and AI-OPS, software design, frontend, system operations, cloud and DevOps, and a capstone integration project. No prior coding experience required. Graduates step into Tier 2 (AI Professional) or directly into entry-level AI engineering roles. Designed for the engineer who needs to be AI-native from day one — not retrofitted later.

Key Features

Duration

1 month · 30 days · 120 hours · ~30 hrs/week

Mode

Online · Live cohort + recorded sessions

Projects

5+ projects, 1 capstone (AI agent app, full-stack web app, cloud-deployed AI tool, capstone integration)

Certification

Rooman AI Foundation Certificate + portfolio

Placement Support

Pathway to AI Professional (Tier 2) + Rooman hiring partner introductions

Tools Covered

Python · LangChain · React · Node.js · AWS · Docker · Kubernetes · Git · GitHub · Linux

Skills Covered

✓ Python programming fluency from zero to production-ready

✓ Prompt engineering and AI agent foundations

✓ Agentic AI in practice — building agents with LangChain

✓ Software engineering essentials — design patterns, version control

✓ Frontend basics — HTML, CSS, JavaScript, React

✓ Linux, networking, cybersecurity essentials

✓ Cloud fundamentals (AWS) and containerisation (Docker, Kubernetes)

✓ Capstone — integrate everything in a deployed AI-powered app

Course Curriculum

6 modules built end-to-end from fundamentals to capstone.

Phase 1 — AI-OPS (32 hours)

  • Python programming fundamentals — variables, control flow, functions
  • Python data structures and OOP
  • AI assistants and prompt engineering
  • AI agent foundations — what agents are and when to use them
  • Agentic AI in practice — LangChain basics, tool use
  • Building your first production AI agent

Phase 2 — Software Design (23 hours)

  • Software engineering essentials — design patterns, SOLID
  • Database fundamentals — SQL, MySQL, modelling
  • Git, GitHub, and version control workflows
  • Branching, merging, code review patterns
  • Project — Team repo workflow

Phase 3 — Frontend Basics (16 hours)

  • HTML5 structure and semantic markup
  • CSS3 styling and responsive design
  • JavaScript fundamentals — DOM, events, async
  • React.js foundations — components, props, state
  • Project — Interactive frontend with AI integration

Phase 4 — SysOps (21 hours)

  • Linux basics — command line, files, processes, users
  • Networking fundamentals — TCP/IP, HTTP, DNS
  • Cybersecurity essentials — authentication, encryption, OWASP basics
  • System administration and shell scripting

Phase 5 — Cloud & DevOps (14 hours)

  • Cloud fundamentals — AWS core services (EC2, S3, IAM, RDS)
  • DevOps and containerisation — Docker images, containers
  • Kubernetes basics — pods, deployments, services
  • Deploying AI applications to the cloud

Phase 6 — Capstone (14 hours)

  • Interview preparation and soft skills
  • Resume and LinkedIn workshop
  • Capstone integration project — full-stack AI app
  • Final project demo and portfolio review
  • Pathway briefing — AI Professional Tier 2

Salary Scale

Minimum

4 LPA

Average

6 LPA

Maximum

10 LPA

Entry-level salaries for AI Foundation graduates joining junior roles directly. Salaries grow significantly with AI Professional (Tier 2) and AI Expert (Tier 3) certifications.

Job Roles You Can Target

Junior AI Engineer

AI Application Developer

Junior ML Engineer

Python Developer (AI-track)

AI Integration Trainee

Full-Stack AI Developer (junior)

Eligibility Criteria

  • Engineering or science graduate (or final-year student)
  • Or 1+ year of technical work experience (any role)
  • Or completion of AI for ALL + strong commitment to engineering career
  • Good English communication skills
  • Access to laptop with stable internet for online cohort participation

Tools & Technologies

Python LangChain React Node.js AWS Docker Kubernetes Git GitHub Linux MySQL VS Code

Training Options

Online Training

₹20,000 ₹15,000 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
Enrol Now →

Classroom Training

₹30,000 ₹22,000 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
Enrol Now →

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

Do I need prior coding experience?

No. Phase 1 starts with Python from absolute zero. By the end of Phase 1 you'll be building AI agents.

Is AI Foundation enough to get an AI engineering job?

Yes for junior roles (₹4-8 LPA range). For mid-level and pod-ready roles, take AI Professional (Tier 2) and AI Expert (Tier 3).

What's the difference between AI Foundation and AI Forward?

AI Foundation is the renamed, AI-first version of what used to be AI Forward. Same curriculum, more emphasis on agentic AI and modern AI tooling.

Can I skip ahead to AI Professional?

Only if you can demonstrate Python + AI fundamentals via our challenge exam. Most learners benefit from completing AI Foundation first.

Is this online or in-person?

Online with live cohort sessions, recorded for review. AI Expert (Tier 3) is the only in-person tier.

What's included in the price?

All course materials, AI-powered LMS with 1-year access, live cohort participation, capstone review, and Rooman certificate.

Ready to start? Next cohort opens soon.

Limited seats per batch. 100% placement assistance.

Enrol Now → Email an advisor