AI Course with Placement Support
Career Starter Track for College Students and Graduates (Live Online)
If you're searching for an ai course with placement that's practical (not theory-heavy), this Career Starter Track helps you build a strong portfolio, learn modern AI app patterns, and prepare for interviews with structured mock rounds and project defense.
- Portfolio-first learning with 6 to 8 GitHub projects and 1 capstone
- Placement Prep Kit covering resume, GitHub, mocks, and project defense
- Build modern AI apps using LLM patterns, RAG foundations, and agent workflows
- FastAPI and deployment basics for job-ready engineering habits
Placement support is not a job guarantee. We help you become interview-ready with reviews, mocks, and a clear plan.
Live online across India: Bangalore, Hyderabad, Pune, Delhi NCR, Mumbai
What You'll Have by the End
Tangible proof of your skills. Not just a certificate, but a portfolio you can walk a recruiter through.
6 to 8 portfolio projects, GitHub-ready with clean READMEs
Your repos will be easy to run, easy to review, and easy to explain in interviews.
1 capstone project: an end-to-end AI feature in a product
Not just a model. A working feature with an API, a reliability checklist, and a live demo.
Interview kit with project defense and system thinking checklist
Learn how to explain decisions, trade-offs, and failure modes clearly.
Resume, LinkedIn, and GitHub reviewed by mentors
We turn your work into recruiter-friendly bullets and pinned projects.
Confidence in building real AI app flows
Prompts, structured outputs, retrieval, tools, and basic deployment habits.
A weekly execution routine to build, apply, and improve
So progress depends on a system, not just motivation.
Placement Prep Kit (Entry-Level AI Roles)
Most learners don't fail because they “don't know AI”. They fail because they can't show proof, can't explain their work, or don't know how interviews are evaluated. This kit runs alongside the program so you become confident in both building and presenting.
Resume, LinkedIn, and GitHub polish
Checklist-driven review covering format, keywords, project descriptions, and recruiter visibility.
Portfolio rubric
What recruiters actually score: README quality, architecture choices, and demo readiness.
Mock interviews
Coding round practice, AI project defense, and system basics with recorded feedback.
Capstone review and Defense Day
Present your capstone to a panel. Practise explaining trade-offs and design decisions.
Application routine template
A weekly plan for job applications, outreach, follow-ups, and interview scheduling.
Hiring strategy guidance
Where to apply, how to write cold messages, and which job boards work for AI roles.
Optional: Coding Round Prep (DSA)
If your target roles include coding rounds, you can add pattern-based DSA support.
What we do
- Structured feedback, reviews, and mock interviews
- Portfolio and capstone scoring with clear improvement steps
- Interview readiness coaching covering defense, system thinking, and communication
- Guidance on applications, positioning, and consistency
What we don't do
- We don’t guarantee offers or timelines
- We don’t promise specific companies or fixed packages
- We don’t do fake referrals or misleading claims
- We don’t replace your effort, we structure it
Placement support is not a job guarantee. Outcomes depend on learner effort, background, and market conditions.
Who This Program Is Built For
College-first, but open to anyone building their first AI career track.
Final-Year Students and Recent Graduates
BTech, BCA, BSc, MCA, or any stream with curiosity
- You need real proof-of-work beyond certificates
- Projects you can defend in interviews
- Placement Prep Kit included
Early Professionals (0 to 2 years)
Add AI skills to your current role or switch tracks
- You want stronger roles and better interviews
- A portfolio that signals readiness
- Weekend and evening cohorts fit around your job
Developers Adding AI Skills
You already code and want to add LLM, RAG, and agent patterns
- Ship AI features inside apps
- Without switching your entire career identity
- Capstone can integrate into your existing product
Career Transitioners
Coming from non-tech or adjacent roles
- A guided build and interview prep path
- Clarity on what matters for AI roles
- Mentor guidance on positioning your background
This program might not be for you if…
- If you want Excel/Power BI analytics — see Data Analytics path
- If you want stats/EDA/ML-heavy depth — see Data Science path
- If you want advanced GenAI deep dive — see GenAI specialization path
AI Engineer Course with Placement: Roadmap
Six focused phases. Each one builds on the last. You ship code in every phase.
Python for AI Apps, Debugging, and Git
Build clean habits early: structure, environment, and collaboration basics.
LLM App Patterns
Prompting for reliability, structured outputs, and tool calling basics.
RAG Foundations
Chunking, embeddings, retrieval, citations, and a retrieval-quality checklist.
Agent Workflows Intro
Roles, steps, verification and critique, with safe-by-design execution.
APIs and Deployment Basics
FastAPI, environments, Docker intro, and a simple reliability checklist.
Capstone and Interview Prep
Capstone build, defense day, mock interviews, and the final readiness plan.
Parallel optional lane: DSA for coding rounds covering arrays, strings, hashing, stacks, queues, trees, graphs, and basic DP patterns.
Projects You'll Build (Resume-Friendly)
Every project ships to your GitHub with a clean README, architecture notes, and interview talking points.
LLM Chat App
Streaming responses and structured JSON outputs
Interview talking points
- How you handled token streaming and UI state
- JSON-mode prompting for reliable outputs
- Error handling and retry logic
RAG over PDFs
Citations and retrieval quality checklist
Interview talking points
- Chunking strategy and why you chose it
- Embedding model selection trade-offs
- How you measured retrieval accuracy
Tool-Using Assistant
Safe actions with human-in-the-loop approvals
Interview talking points
- Tool-calling patterns and schema design
- Approval flow for destructive actions
- Logging and audit trail implementation
Agent Workflow Intro
Plan, research, draft, and verify pipeline
Interview talking points
- Multi-step orchestration with verification
- How the agent decides when to stop
- Error recovery between steps
FastAPI Service
Validation, logging, and versioning
Interview talking points
- API design decisions (routes, schemas)
- Request validation with Pydantic
- Structured logging and version headers
Capstone: AI Feature Inside a Product
End-to-end AI feature you can demo live
Interview talking points
- Problem framing and product thinking
- Architecture choices and trade-offs
- How you would scale or improve it
Example capstone ideas
Internal policy copilot
RAG with access control to answer employee questions from company docs
Customer support assistant
Tools with escalation to auto-resolve common tickets and escalate edge cases
Lead qualification assistant
Structured scoring to grade inbound leads using LLM-extracted signals
Why School of Core AI
Transparent placement support. No hype. Build, defend, and get hired.
Live instructor-led sessions with mentor reviews
You get feedback, not just content.
Small cohorts with doubt support
We keep cohorts small to protect review quality.
Portfolio you can defend in interviews
We train you to explain decisions, not just finish projects.
2026-ready stack exposure
LLM apps, RAG, agent workflow intro, and deployment basics (entry-level focused).
Batches and Schedule (Live Online)
Live instructor-led sessions. Small cohorts. Pick the schedule that fits your week.
Weekday Cohort
Evening sessions, live instructor-led, recordings included, and office hours
Best for working professionals and final-year students
Weekend Cohort
Morning sessions, live instructor-led, recordings included, and office hours
Popular with career transitioners and part-time learners
Seats are kept limited to maintain review quality (no fake scarcity).
Fees: What's Included
One all-inclusive fee for live instructor-led classes, guided projects, capstone review, placement prep kit, and a verifiable certificate.
One-time payment
₹35,000
18 weeks, live classes, capstone included
EMI options available. Ask during your counselling call.
We confirm exact batch dates and schedule fit during the call.
₹55,000 includes live classes, guided projects, capstone review, placement prep kit, and certificate. No hidden charges.
What you'll get
- Live classes and recordings
- 6 to 8 projects and 1 capstone
- Capstone review and Defense Day
- Mock interviews and readiness feedback
- Placement Prep Kit with resume, GitHub, LinkedIn review, rubrics, and routine
- Certificate (based on assessed work)
EMI options available (if applicable). No hidden charges. Placement support is not a job guarantee.
AI Course with Placement Support fees are 55,000 INR for a 18 week live instructor-led training program with hands-on projects, capstone demo, placement prep kit, and verifiable certificate.
Certificate
Receive a verifiable School of Core AI certificate based on assessed projects and capstone submission.
School of Core AI
Certificate of Completion
Awarded to
Your Name
For successfully completing the AI Course with Placement Support — Career Starter Track, including live instructor-led sessions, portfolio projects, capstone defense, and placement preparation.
Date: Month YYYY
Cert ID: SCAI-AICP-XXXXXX
The certificate confirms successful completion and evaluated work. It is not a government credential.
Frequently Asked Questions
Honest answers to the questions we hear most. No fluff, no false promises.
Ready to Build Your AI Career?
Join a live cohort, build a portfolio worth showing, and walk into interviews prepared. Talk to us today.
Transparent placement support. Real projects. No hype, just honest career prep.