Master AI to Create Solutions
That Think, Learn & Predict
Learn how to design, train, and deploy machine learning models through mentor-guided, real-world projects.
Become an AI/ML Engineer
₹9,999
Program Pricing (Pilot Cohort)
- Includes Live Mentor Support
- Every project mentor-verified before certification
- 100% Online Format
- Portfolio review and interview preparation.
Speak to an Advisor
Not sure if this is the right fit? Drop your details and we'll call you back within 24 hours to discuss your goals.
Why This Track?
Artificial Intelligence is reshaping every industry. This track gives you the practical skills to build predictive models, NLP apps, and smart systems.
Who This Track Is For
- College students (any stream)
- Beginners in AI & ML
- Coding enthusiasts with interest in algorithms
- Career switchers aiming for AI/ML roles
- Professionals seeking AI upskilling
Learning Tools and Methodology
Master an industry-standard technical stack through our hands-on engineering pedagogy and structured practice.
Tools You Will Master
How You Will Learn
Live Mentor Sessions
Project-led guidance
Real Datasets
Work with authentic data
Weekly Milestones
Track progress regularly
Recorded Lessons
For concept revision
Step-by-step
Guided project building
Doubt Support
Clear your queries
Project Roadmap
A rigorous 4-project spine that mirrors actual industry workflows, augmented by targeted add-on mini-projects.
Core 4-Project Spine
Step-by-step development phases mirroring real assessment rounds
Given a clean dataset and a specified target metric, build and evaluate a baseline. Reproducibility is graded: same seed, same numbers.
A dirty dataset with leakage planted in it and no stated metric. Choose the metric, justify it, and find the leak. Finding the leak is most of the grade.
One student owns retrieval, the other owns generation and evaluation, on a shared RAG service. They must agree an interface and an eval set before either writes code.
Student-proposed applied ML system with a real evaluation story — what it gets wrong, measured. (e.g. Full RAG/agent capstone).
8 Targeted Mini-Projects
Hands-on skill builders covering practical tools & concepts
Hashing
Deduplication / embedding-cache layer for repeated inference calls
Heaps
Top-k retrieval ranker for a RAG search feature
Linked List + Hashmap
LRU cache for inference responses
Trees (BST / Trie)
Prefix/vocabulary search over an embedding index
Graphs (BFS/DFS)
Dependency resolution for a multi-step agent workflow
Graphs (weighted)
Cost-aware router across multiple model endpoints
Dynamic Programming
Token-budget / context-window allocator
Arrays / Sliding Window
Streaming-token rate limiter for API calls
Your Portfolio Output
Your SkillCred portfolio isn't a static resume. It is a live, verified candidate profile showcasing working architectures, clean code, and assessment scores structured for recruiter review.
Verified PAT Score
Recruiters filter candidates by actual competency scores across system design and code quality.
Architecture & Implementation
Showcase the real-world systems you designed and deployed, not just code snippets.
Target Career Roles
Candidate #SC-7241
PAT ID: pat_8291_active
Sentiment Analysis Pipeline
FastAPI pipeline serving a text classification model built with scikit-learn.
Mentor Support & Frequently Asked Questions
Understand how working professionals review your code every week and get answers to common questions before starting your journey.
Mentor Support & Verification
Our mentors don't just teach — they verify your skills. Every project you build is reviewed, ensuring you meet industry standards before you get certified.
- Assign & explain projects
- Review project submissions
- Verify project completion
- Provide feedback
- Approve assessment eligibility
- Issue recommendation letters
Projects Are Not Self-Assessed
"You cannot certify yourself. A working professional mentor must start, review, and approve your work."
Frequently Asked Questions
Do I need prior Python experience?
No — Python basics are included in the track.
Are projects real-world?
Yes, each project replicates real industry problems.
Is deployment included?
Yes, models are deployed via Streamlit / Flask for live testing.
Will I be job-ready?
The track covers building, evaluating, and deploying AI systems.
Lock in Your Pilot Pricing
Secure your spot today with a fully refundable deposit. Fully credited toward your final enrollment balance.