Mailhello@sarasai.org
Phone+1 (315) 210-8808
CampusSaras Campus
Saras AI
Background

Master of Science in
AI Engineering

Built with AI leaders from Google and Microsoft

Earn 56% higher salaries through real, enterprise-grade projects that accelerate your career.

Duration:12 months, Online
Starts:Aug 3, 2026
Projects:8 Real-World Projects

Why AI? Why Now?

The AI revolution isn't a distant future; it's the new reality. This is the most significant shift in technology since the internet, and it's creating an entirely new class of developers. The demand for professionals who can build, deploy, and lead AI initiatives is exploding

720,000+

Open AI Jobs

#1 Fastest-growing job category on LinkedIn in key global markets

56%

Salary Premium

Give yourself the AI-advantage – earn more, offer more, and stand out

Program at a Glance

🎓

Structured Program

30-Credit-Hour MS in AI Engineering. 8 Courses (2 Certifications) + 1 Capstone. One course at a time.

🚀

Zero Exams. 100% Projects.

You graduate with a portfolio of 8+ production-grade projects.

💼

The Ideal Learner

Software/ DevOps/ Data Engineers & Tech Leads with 2-10 years of experience.

Designed for Working Professionals

Self-paced content + Live hands-on workshops.

Simple, Transparent Pricing

₹9,999/month

(12 easy monthly installments)

Complete Master’s Degree

8 Real-World Portfolio Projects

Access to Industry Workshops

Total Program Fee: ₹1,19,988

Your Learning Journey

This program has no exams — your learning is 100% project-based. Your journey is structured as AI Engineering: Development Certificate (4 courses) + AI Engineering: Deployment Certificate (4 courses) + a Capstone Project, where you will build, deploy, and ship 8+ enterprise-grade applications that become your professional portfolio.

9 Courses, 12 Months

1

AIE 500: 10x Coding with AI

5 Weeks

Build a Smart Browser Extension at lightning speed from concept to deployment.

2

AIE 510: Build Autonomous Multi-Agent Systems

5 Weeks

Create a Multi-Agent Software Development Team using AI Agents that can reason, plan, and execute multi-step tasks autonomously

3

AIE 520: Build Predictive Models & Modern Recommenders

5 Weeks

Develop a Hybrid E-commerce Discovery Engine that combines LightFM and ALS models for personalized recommendations

4

AIE 530: Build Custom AI: From Deep Learning to Generative Models

5 Weeks

Build a Multi-Modal Product Risk Analyzer combining vision & language models

Earn AI Engineering: Development Certificate

5

AIE 540: Build and Orchestrate the Modern Data Stack

5 Weeks

Build a Single Source of Truth data pipeline with end-to-end automation with Snowflake and Airflow

6

AIE 550: Build Autonomous MLOps and LLMOps Pipelines

5 Weeks

Create an Autonomous MLOps Pipeline featuring an autonomous AI Supervisor agent

7

AIE 560: Build Responsible AI: Auditing for Bias, Fairness, and Security

5 Weeks

Conduct a Red Team AI Audit on a black-box loan model using SHAP, Fairlearn, and adversarial testing

8

AIE 570: Prototype and Ship AI-Native Applications

5 Weeks

Build a SaaS AI Product MVP — a complete web app with UI, backend, and vector search integration.

Earn AI Engineering: Deployment Certificate

9

AIE 590: Capstone

5 Weeks

Apply your full-stack AI and operational skills to solve a real-world industry challenge—or bring your own problem

Program Advisors

Crafted with guidance from Microsoft and Google leaders who are defining the next era of AI engineering.

Chief Data & AI Officer
Microsoft

Eduardo Kassner

Chief Data & AI Officer

Customer Success Data & AI team

Leading the Data, Analytics and AI Cloud Architect Team for the Software and Digital Platform organization in Microsoft.

Specializes in:

Software DevelopmentIT StrategyArtificial Intelligence (AI)Enterprise SoftwareCloud Computing
Head of AI Research
Google

Tomas Pfister

Head of AI Research

Google Cloud

Leader for Google Cloud AI Research, a team of researchers and software engineers working on tackling the most valuable research problems for Google Cloud customers.

Specializes in:

Machine LearningDeep LearningComputer VisionArtificial IntelligenceSoftware Engineering

Skills & Tools You Will Master

Skills You Will Gain

GenAI & LLMsMLOpsAgentic AIPredictive ModelingRecommender SystemsAI-Augmented DevelopmentData EngineeringFull-Stack AIAI Ethics & Auditing

Tools & Technologies

AI Coding AssistantsAgentic FrameworksTensorFlow, PyTorch, Hugging FaceXGBoost, LightGBM, LightFMFull-Stack & ProductSnowflake, Google BigQuery, DatabricksDocker, Terraform, GrafanaSHAP, LIME, FairlearnFigma, Jira, Confluence

Your Program Outcome: The WOW Effect 🌟

Become an AI Leader

Become an AI Leader

Graduate as an AI Architect or Product Owner, equipped to lead teams, define strategy, and build the next generation of software.

Career & Placement Support

Career & Placement Support

Get comprehensive career support, from professional skills training to portfolio reviews and direct introductions to our hiring partners.

A Radically Learner-Centric Model

A Radically Learner-Centric Model

No exams, just support. You get a 24/7 AI Tutor, a "Project Pod" of 4-5 peers (like a real sprint team), and direct access to expert faculty.

Frequently Asked Questions

No. This is an advanced master's program designed for software professionals with 2-10 years of experience. It's ideal for Software Engineers, DevOps Engineers, Data Engineers, and Technical Leads who want to become AI leaders.
None. We believe tests are a poor measure of real-world skill. Your grade is based on the portfolio of 8+ projects you build. You're here to prove you can do the work, not memorize answers.

Yes. The program is built for working professionals.

You get:

  • Self-paced core content available 24/7 that includes high-quality video lectures , Interactive labs and personalized AI-powered learning sessions
  • Live Hands-on Workshops with well known industry experts.

Expect to dedicate 6-10 hours per week for lectures, labs, and building projects.

You have a 3-tiered support system:

1. 24/7 AI Tutor for instant answers.
2. Your "Project Pod" of 4-5 peers for collaboration.
3. Expert Faculty for live Q&A sessions and masterclasses.
Yes. We believe in transparency. The program costs Rs. 9,999 per month for 12 months, for a total fee of Rs. 1,19,988. There are no hidden fees or exam charges.
Absolutely. If you're looking for a faster pathway into AI, you can start with our AI Development Certificate, a 5-month, project-based program focused on building core applied AI skills with predictive engines, recommenders, generative models and multi-agent systems to solve real business problems.