AIML Full Stack Development
Engineered to match Scaler-tier employability.
A 6-month, production-grade AI / ML / GenAI / Agentic AI curriculum engineered to match Scaler-tier employability.
Course Fee
₹99,999
+ 18% GSTTotal program fee (exclusive of GST)
Program Overview
An employability-first, project-first curriculum focused on production engineering rather than theory alone — built to take you from foundations through a live production deployment.
The Unfair Advantage: Why Top Engineers Choose Empowers
⚡ The Unfair AdvantageMost AI bootcamps drop hundreds of students into passive recorded lectures. We built an intensive, engineering-first environment where you build real full-stack AI systems.
Micro-Batch Exclusivity
Small cohorts strictly capped for direct 1-on-1 mentor interaction and thorough code reviews.
Production Full-Stack AI
Don't just run Jupyter notebooks. Build, package, and deploy full-stack AI services with FastAPI, PyTorch, and AWS.
$1,500+ Developer Pass
Access to cloud compute environments, pre-loaded CUDA GPU labs, and developer toolchains.
100% Guaranteed Role-Matched Placement
180-day refund guarantee with targeted role and preferred location routing (Bengaluru, US Remote, GCC Hubs).
Curriculum
9 Modules47 Core Topics & Labs
- AI Engineering Environment Setup (VS Code, WSL2, Conda, CUDA, Poetry)Week 1
- Git & GitHub Production Workflows (Branching, PRs, Conventional Commits)Week 1
- Linux Shell Scripting, CLI Automation & Virtual EnvironmentsWeek 2
- Algorithmic Foundations & Core Data Structures in PythonWeek 2
- Capstone Milestone: Reproducible AI Engineering Workspace SetupProject
Earn a Certificate of Completion
Validate your skills and enhance your profile with an industry-recognized certificate upon successfully completing this program.
Key Features
- Live cohort
- Real projects every module
- Weekly mentorship
- Production deployments
- Code reviews
- Demo Day
- GitHub portfolio
- Career support
What You'll Be Able to Do
- Build end-to-end ML systems
- Ship LLM-powered applications
- Design and deploy agentic AI systems
- Deploy models to production
- Interview-ready technical depth
- A GitHub portfolio of shipped projects
- System design fundamentals for AI systems
Skills Covered
32 In-Demand Skills33+ Tools, One Programme
Industry Projects
Predictive Customer Churn Analytics Platform
Analyze large-scale tabular enterprise datasets using Pandas, NumPy, and Scikit-Learn to build predictive ML models with feature engineering and automated model interpretability.
Scikit LearnComputer Vision Defect Detection System
Train CNN and Vision Transformer models using PyTorch for automated real-time quality control and defect classification on manufacturing assembly lines.
PyTorchFine-Tuned Domain LLM with LoRA
Fine-tune open-source LLMs using Hugging Face PEFT/LoRA techniques on custom domain text datasets, optimizing throughput for specialized enterprise tasks.
Hugging FaceEnterprise Agentic RAG Knowledge Base
Construct a semantic vector search retrieval system using LangChain, hybrid vector indexing, and dynamic document chunking to query internal knowledge bases accurately.
LangChainAutonomous Multi-Agent Research Assistant
Develop a stateful multi-agent system using CrewAI and LangGraph that autonomously browses web sources, aggregates data, and synthesizes structured analytical reports.
CrewAIFull-Stack AI Web Application
Build an interactive web application featuring real-time streaming LLM responses, user authentication, session state management, and robust backend API integration.
FastAPIProduction MLOps CI/CD Deployment Pipeline
Deploy an end-to-end ML pipeline with Docker containerization, AWS cloud hosting, automated model tracking via MLflow, and continuous integration monitoring.
DockerReal-Time Fraud & Anomaly Detection Engine
Engineer an event-driven streaming pipeline using Kafka, XGBoost, and FastAPI to score high-volume transactions for fraud in under 15ms.
AWSMultimodal Document Parsing & OCR Pipeline
Create an intelligent document processing system that extracts tables, key-value pairs, and text from unstructured financial PDFs with LayoutLM and Vision LLMs.
E-Commerce Recommendation & Personalization Engine
Build a collaborative filtering and deep learning recommendation system using PyTorch and Redis to serve personalized product recommendations at scale.
PythonDisclaimer - The projects have been built leveraging real publicly available datasets from organizations.
Capstone
An individual, production-ready AI system presented at Demo Day and added to your interview portfolio.
Certifications
- AI & ML Practitioner
- GenAI & LLM Engineer
- Certified Agentic AI Practitioner (CAAP)
Placement Support
- Career launch track
- Resume support
- LinkedIn profile support
- Demo Day in front of hiring partners
- Mock interviews
- Introductions to the careers team
High-Yield Career Engineering & Role Matching
100% Placement CommitmentWe don't send your resume to generic job portals. We map your placement pipeline based on your exact career goals:
| Candidate Category | Placement Commitment | Career Track & Routing |
|---|---|---|
| Freshers | 100% Placement Guarantee within 180 Days | Minimum package commitment of ₹5 LPA. |
| Experienced Professionals | 100% Placement Guarantee within 180 Days | Targeting 50%+ salary hike over current CTC. |
| Location Routing | Preferred Geography Matching | Bengaluru, Hyderabad, Gurgaon, US Remote, GCC Hubs, Other Locations. |
The Market Realignment: What Big Tech Is Hiring For
Hiring ShiftMass fresher hiring is over. Today, global enterprises and scale-ups are selectively hiring Builders:
Full-Stack AI Talent Shortage
Over 68% of tech companies cite a severe shortage of engineers who bridge ML modeling and production deployment.
Recruiters Hunting Builders
Amazon, Swiggy, Uber, and Flipkart actively recruit engineers with verified production deployments.
Proof of Capability Over Degree
A verified GitHub portfolio of live deployed full-stack systems beats generic certificates every time.
Career Opportunities
Good to Know
- Four parallel tracks run through the program
- Weekly rhythm of live sessions, assignments, and mentor feedback
- Pre-cohort diagnostic places you into a Beginner or Advanced stream
Explore the full module-by-module breakdown of this program.
View Detailed CurriculumProgram Cohorts
Next Weekend Cohort · 6 months · 26 weeks · ~600 hours · live online · mentor-led
AIML Full Stack Development · Oct 2026 Weekend Cohort
| Milestone | Enrollment | |||
|---|---|---|---|---|
1Program Induction | 30 Oct, 2026 | 7:00 PM – 8:30 PM IST | Orientation & Tooling Setup | Strictly 10 Learners / Batch |
2Regular Live Classes | 31 Oct, 2026 – 1 May, 2027 | 7:00 PM – 9:00 PM IST (Sat & Sun) |
Strictly capped small cohort for elite 1-on-1 personalized mentorship.
Daily live engineering reviews, 1-on-1 doubt clearing, and code walkthroughs held on weekdays (Monday to Friday).
Continuous lab assistance and on-demand mentor query resolution alongside weekend core classes.
The 180-Day Better-Offer Guarantee
Every Empowers Academy program is backed by a signed legal agreement, executed before you pay anything. If you don't land an offer that beats your starting role in pay, title, or scope within 180 days, you get a full refund exactly as agreed in writing.
