Mailhello@sarasai.org
Phone+1 (662) 593-4156
CampusSaras Campus
Saras AI
Applications close on Sep 15, 2026
Advanced AI EngineerCertification

You. AI Engineer.
5 months or less.

Master GenAI, Agentic AI & Multimodal AI

4 ProductiongradeProjects

Time Commitment6–10Hours / Week

Online,Personalized1–1 Support

for Oct 1, 2026 Cohort

Program Advisors

Microsoft
Eduardo Kassner

Eduardo Kassner

Chief Data & AI Officer

High Tech

Google
Tomas Pfister

Tomas Pfister

Head of AI Research

Google Cloud

What You'll Build

Build a Portfolio of
4 Production Grade AI Projects

Project 1

AI Prompt Engineering Platform

You'll build PromptLab, a production-grade, full-stack platform to design, version-control, test, and optimize LLM prompts at scale.

Skills
Full-stack AI Application ArchitectureScalable Backend APIs & Integrations
Tools
Claude CodeClaude CodeGitHub Co-PilotGitHub Co-PilotFastAPIFastAPIReactReact

Course: 10x Coding With AI

Project 2

Autonomous Multi-Agent Dev Team

You'll build a fully autonomous team of specialized AI agents that collaboratively plans, codes, tests, debugs, and deploys production-ready code.

Skills
Multi-Agent System ArchitectureAgent Orchestration & Workflow Automation
Tools
LangGraphLangGraphCrewAICrewAIAutoGenAutoGenLangSmithLangSmith

Course: Autonomous Multi-Agent Systems

Project 3

Hybrid E-commerce Discovery Engine

You'll build AI-powered recommendation system using collaborative filtering, vector search, and deep learning to deliver personalized experiences at scale.

Skills
Recommender System EngineeringPersonalization & Ranking
Tools
PineconePineconeMLflowMLflow

Course: Predictive Models And Recommenders

Project 4

Multi-Modal Food Intelligence Engine

You'll build an intelligent health ecosystem that analyzes meal images, retrieves nutrition knowledge, and generates hyper-personalized health insights.

Skills
Computer Vision & Image ClassificationMultimodal AI System Design
Tools
PEFT / LoRADiffusers

Course: Custom AI & Generative Models

Success Stories

Real Developers.
Real Results.

Invest in Yourself
Invest in Your Future

Total Program Fee

₹49,995

Payable in 5 easy installments of
₹ 9,999 per month

Free trial till Oct 14, 2026
Complete in 3 months? You only pay for 3 months
$0 due today. Cancel or pause anytime

The first installment of ₹ 9,999 will be deducted on Oct 15, 2026

Roles This Portfolio Unlocks

5 AI Engineer Roles
You’ll Be Ready For

AI Engineer

Design, build, and ship end-to-end AI-powered products and features.

TYPICAL U.S. RANGE$120K – $180K

Machine Learning Engineer

Train, deploy, and scale ML models in real-world production systems.

TYPICAL U.S. RANGE$130K – $190K

Generative AI Engineer

Build LLM apps, RAG pipelines, and generative products at scale.

TYPICAL U.S. RANGE$140K – $210K

LLM / NLP Engineer

Fine-tune and orchestrate language models for domain-specific use cases.

TYPICAL U.S. RANGE$130K – $200K

MLOps Engineer

Automate, monitor, and operationalize AI models in production.

TYPICAL U.S. RANGE$125K – $185K

Your Learning Journey

No Exams, 100% Projects

Only program that allows Bring Your Own Project.

Learn on Your Schedule.

Your pace, with personalized 24/7 support.

Learn from Industry Practitioners.

Earn credits toward a Master’s degree.

Earn 12 Credits Towards Master’s Degree In AI Engineering

Master the Modern AI Stack

Build Production-grade AI systems using the same frameworks, workflows and tools used by top AI companies like:

Google
Uber
OpenAI
Meta
Netflix
Microsoft
Amazon
Anthropic
Google
Uber
OpenAI
Meta
Netflix
Microsoft
Amazon
Anthropic

Generative AI & LLM

Prompt Engineering: Design, version, and systematically test prompts
LLM Fine-Tuning: Adapt LLMs to custom domains efficiently
RAG: Build pipelines that ground outputs in trusted knowledge

Agentic AI & Automation

Multi-Agent Systems: Orchestrate specialized agents
Autonomous QA: Engineer self-correcting pipelines
Workflow Design: Automate complex dev cycles

Applied ML & Personalization

Recommender Systems: Build hybrid engines
Multi-Modal AI: Combine CV and language models
Predictive Analytics: Use XGBoost, LightGBM at scale

Full-Stack & Production

Full-Stack AI: Ship scalable backends and modern frontends
MLOps: Deploy, monitor, and A/B test models
Cloud Infrastructure: Scalable AI with Vercel & Docker

Launch your AI Career

Artificial Intelligence Engineer is the #1 Fastest–Growing Job Category on LinkedIn

Saras AI Institute Advanced AI Engineering Certificate

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LinkedIn

Available AI Jobs

Hiring Managers want to see a portfolio of real AI projects. That’s exactly what this program is built to give you.

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LinkedIn

Salary Premium

Earned by AI-skilled engineers vs peers without AI fluency

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Project Based

A practical AI certification from a US-registered higher education institute

About Saras AI Institute

World's first AI–exclusive US based Higher Education Institution, preparing learners for meaningful AI careers and responsible AI leadership.

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Frequently Asked Questions

Advanced AI EngineerCertification

Join a new generation of AI engineers building real–world systems, products, and experiences that matter.