CampusSaras Campus
Saras AI

AI Engineering:
Development Certificate

Become the engineer who can turn complex ideas into working AI systems—multi-agent, multimodal, and deployment-ready.

A project-based Certification built in collaboration with AI Leaders from GoogleandMicrosoft

Duration:5 months, Online
Starts:Feb 2, 2026
Projects:4 Enterprise-Grade Projects

What You'll Achieve

On program completion, you will be able to build predictive engines, recommenders, generative models and multi-agent systems to solve real business problems.

Skills You Will Gain

Prompt-driven development & AI-assisted codingAI-powered debugging & refactoringGradient Boosting (XGBoost, LightGBM)Recommender systems (LightFM, ALS)Fine-tuning LLMs, Diffusion models, PEFT/LoRAMulti-agent design & RAG

Tools & Technologies

GitHub Copilot, Cursor, Claude CodeLangChain, LlamaIndex, AutoGen, CrewAIXGBoost, LightGBM, TensorFlow Recommenders, LightFMPyTorch, TensorFlow, Hugging Face Transformers & DiffusersNVIDIA NeMo Guardrails, LangSmith (eval)

Program Overview

🎓

Structured Program

4 Master's level AI courses in 5 months

🚀

Zero Exams. 100% Projects.

You graduate with a portfolio of 4 production-grade projects.

💼

The Ideal Learner

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

Built for Working Professionals

Self-paced content + Live hands-on workshops.

Simple, Transparent Pricing

₹9,999/month

(5 easy monthly installments)

AI Development Certificate

4 Enterprise-Grade Portfolio Projects

Access to Industry Workshops

Total Program Fee: ₹49,995

Your Learning Journey

This program has no exams. Your learning is 100% project-based. You will build, deploy, and ship 4 enterprise-grade applications that become your new professional portfolio.

AI Dev Certificate

AI Dev Certificate

Build core AI intelligence for modern applications

5 Months4 Courses

Each Course = 5 Weeks

1. 10x Coding with AI

Build a Smart Browser Extension from concept to deployment.

Feb 2 - Mar 8
2. Build Autonomous Multi-Agent Systems

Create a Multi-Agent Software Development Team using AI Agents

Mar 16 - Apr 19
3. Build Predictive Models & Modern Recommenders

Develop a Hybrid E-commerce Discovery Engine for personalized recommendations

Apr 27 - May 31
4. Build Custom AI: From DL to Generative Models

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

Jun 8 - Jul 12

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

Delivery & Support

Portfolio-driven assessment — every project becomes a public GitHub repository that accelerates your career trajectory.

Self-Paced, Guided Learning

Get 24/7 access to high-quality Video lectures, Interactive Labs, and personalized AI-guided learning.

Live Learning & Workshops

Live hands-on workshops with industry experts and masterclasses.

24/7 Support System

Instant AI Tutor available 24/7, Project Pods (4-5 peers), and expert faculty office hours.

Upskill Your Engineering Teams

Equip your developers to build production-grade AI systems — from predictive models and recommenders to generative and multi-agent applications — through a hands-on, outcomes-driven program.

Why Organizations Choose This Program:

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Project-based learning aligned with real business use cases

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Move teams from experimentation to production

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Minimal disruption with flexible learning

Phone
+ +91

Frequently Asked Questions

What are the prerequisites for this program?
  • You'll need minimum 1 year experience in software development, data engineering, or related technical roles, along with a basic understanding of software development concepts.
  • No prior AI/ML experience required.
How does the schedule work and can I do this while working full-time?

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.

What will I build and how real-world are the projects?

You will build 4 enterprise-grade AI products, each resulting in a public GitHub portfolio.

Projects cover:

  • Smart Browser Extension (AI-assisted development)
  • Multi-Agent Software Development Team
  • Hybrid Ecommerce Recommendation Engine
  • Multi-Modal Product Risk Analyzer

These projects reflect real industry needs and demonstrate applied AI engineering skills that companies value.

What roles does this program prepare me for?
With four end-to-end AI products in your portfolio, you'll be ready for roles such as AI Engineer, ML Engineer, AI Developer and AI Solutions Engineer
This certificate shows you can build and deploy real AI systems, not just understand theory.
What support do I get and what's your refund policy?

You get three layers of support:

  • 24/7 AI Tutor for instant debugging and guidance
  • Project Pod for Peer-to-Peer collaboration
  • Faculty support during live Q&A sessions

Refund policy:

Your first payment is 100% refundable until March 1, 2026, no questions asked.
You can pause or cancel anytime after that.