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APPLICATIONS OPEN PGP-EAIE / FORWARD DEPLOYED AI ENGINEERING
India's first Enterprise AI Engineering PGP

Post Graduate Program // Enterprise AI Engineering

Build the AI systems that run the enterprise.

Specialisation Forward Deployed AI Engineer PGP-EAIE

The next generation of AI professionals will not just build models. They will deploy AI inside real companies, modernise legacy systems and deliver measurable business outcomes.

3645
Credits
340+
Faculty Hours
15+
Projects
26
Month Residency

The Forward Deployment workflow you will master end to end

01
Discover

Find high-impact AI opportunities

02
Architect

Design scalable AI systems

03
Build

Agents, RAG & integrations

04
Deploy

Secure, production-ready AI

05
Measure

Prove ROI & drive adoption

01 Why This Program

The industry moved from building models to deploying them

For years, organisations focused on building machine learning models and experimenting with generative AI. Today the challenge is no longer creating AI models. It is successfully deploying AI across complex enterprise environments. Enterprises need engineers who can turn AI into real business outcomes, and there are not enough of them.

[ DISCOVER ]
Find the opportunity

Understand business problems and identify the high-impact AI opportunities worth building.

[ ARCHITECT ]
Design the architecture

Design scalable AI architectures and AI-native applications that hold up in production.

[ BUILD ]
Build intelligent agents

Build AI agents and copilots that take action across real systems, not just chat.

[ INTEGRATE ]
Integrate the enterprise

Connect AI into existing ERP, CRM and HRMS systems without breaking what works.

[ DEPLOY ]
Deploy securely

Ship secure, production-ready AI with the right infrastructure and guardrails.

[ MEASURE ]
Prove the impact

Measure business value and drive organisational adoption across the enterprise.

02 A New Profession

Meet the Forward Deployed AI Engineer

Global technology leaders are creating a new class of professional who works alongside enterprises to modernise systems, build AI products and deliver outcomes. This program is built specifically for that role.

// enterprise_ai_engineer

Architects of production AI

You design and build the AI systems that run inside organisations, from intelligent agents to enterprise copilots, and make them reliable at scale.

  • Design enterprise AI architectures end to end
  • Build RAG systems, agents and multi-agent workflows
  • Own infrastructure, observability and governance

// forward_deployed_engineer

Engineers who sit with the business

You work directly with clients and teams, translate business problems into AI solutions, and ship them in the customer's real environment.

  • Run discovery and scope high-value use cases
  • Build and deploy in the customer's stack
  • Drive adoption and prove measurable ROI

03 AI Learning Roadmap

One pathway. Four levels. A career that compounds.

Progress from foundational AI skills to advanced enterprise AI leadership across four certified levels. Each release builds on the last, and the Post Graduate Program is where it all comes together.

v1 CEAA
v2 CEAD
v3 CEAE
v4 PGP

You join at Level 4, the Post Graduate Program, and graduate ready to design, build and deploy enterprise AI from day one.

Apply for PGP-EAIE

04 Learning Outcomes

What you will be able to ship

Enterprise AI Engineering

Design and ship the AI systems enterprises depend on.

enterprise architectureproduction systemsintelligent agentsRAG applicationsmulti-agent workflowsAI copilots

Software Engineering

The engineering backbone behind every AI product.

scalable backendscloud-native appsAPIs & microservicesDevOps & CI/CDAWS · Azure · GCP

Enterprise Transformation

Turn AI capability into business change.

discovery workshopstransformation roadmapsERP · CRM · HRMSROI & impact

Professional Skills

The consulting and leadership edge that sets you apart.

enterprise consultingsolution architectureexecutive communicationstakeholder managementAI governanceresponsible AI

05 Program Highlights

Everything, in one program

36 to 45 credit Post Graduate Program
Specialisation in Forward Deployed AI Engineer
340+ hours of faculty-led learning
2 to 6 month industry residency
Enterprise AI consulting simulations
15+ hands-on industry projects
AI product portfolio development
Industry mentorship
Capstone with real enterprise use cases
Placement assistance
Assessfy Certified FDAE credential
Prep for global AI learning pathways

06 Program Structure

Six layers, from foundations to enterprise impact

A sequenced stack from computing fundamentals up to deploying AI inside real organisations. Expand any layer to inspect the modules.

01

Enterprise Computing Foundations

Python, system design, cloud and secure software
6 WEEKS
Advanced PythonOOP DesignDSALinux & NetworkingGitSQL & NoSQLREST & MicroservicesSoftware ArchitectureSystem DesignCloud FundamentalsDockerSecure Development
02

AI Engineering Foundations

ML, deep learning, transformers and LLM APIs
8 WEEKS
ML FoundationsDeep LearningTransformersLLMsPrompt EngineeringEmbeddings & VectorsModel EvaluationOpenAI APIsClaude APIsGemini APIsOpen Source LLMsFine-Tuning
03

Enterprise AI Systems Engineering

RAG, agents, MCP, document and voice intelligence
8 WEEKS
RAGKnowledge GraphsVector DatabasesAI AgentsMulti-Agent SystemsMCPTool CallingWorkflow AutomationEnterprise SearchDocument IntelligenceVoice AIVision AIAI Coding AssistantsResearch Systems
04

Enterprise AI Infrastructure

Cloud, Kubernetes, security, observability and cost
5 WEEKS
AWS for AIAzure AIGoogle Cloud AIKubernetesDevOps for AICI/CDGPU InfrastructureModel DeploymentAI SecurityIdentity & AccessObservabilityMonitoringAI EvaluationCost Optimisation
05

Enterprise AI Transformation

Strategy, consulting, governance and AI economics
4 WEEKS
Enterprise AI StrategyDiscovery WorkshopsProcess AnalysisSolution ArchitectureConsulting MethodsProposal DevelopmentAI GovernanceResponsible AICompliance & RiskExecutive CommunicationChange ManagementAI Economics & ROI
06

Industry Residency & Capstone

Real enterprise AI transformation, end to end
5 WK + INTERNSHIP

Participants work on real enterprise AI transformation projects, from first conversation to production.

Customer DiscoveryRequirement AnalysisSolution ArchitectureAI DevelopmentCloud DeploymentProduction MonitoringValue MeasurementExecutive Presentation

07 Industry Residency

Spend 2 to 6 months building real AI inside real companies

Every participant completes an industry residency, working on real-world AI transformation projects under the guidance of industry mentors. You leave with shipped work, not just a certificate.

Implementation at scaleEnterprise AI built and deployed in production.
Product engineeringShip AI products through real engineering cycles.
Client engagementWork directly with stakeholders and decision makers.
Cross-functional teamsCollaborate across engineering, product and business.

08 Credit Structure

Up to 45 credits, shaped around your specialisation

// maximum_credits
45
Core Courses36
Elective Coursesup to 9
Maximum Credits45

Elective Tracks

Specialise further by choosing electives aligned to the industry or domain you want to build in.

AI Security
AI for Healthcare
Financial AI
Manufacturing AI
Robotics & Edge AI
Computer Vision
Voice AI
AI Product Management
Advanced Multi-Agent
AI Research

09 Portfolio

Graduate with a portfolio recruiters take seriously

Build a professional AI portfolio through 15+ projects modelled on real enterprise systems.

01
Enterprise Knowledge Assistant
02
AI Customer Support Copilot
03
AI HR Assistant
04
AI Sales Assistant
05
AI Recruitment Platform
06
Enterprise Search Engine
07
Document Intelligence System
08
Contract Analysis Platform
09
AI Workflow Automation Platform
10
Voice-Based AI Assistant
11
AI Coding Assistant
12
Enterprise Analytics Copilot
13
Multi-Agent Business Automation
14
AI Governance Dashboard
15
Enterprise Voice Search
Capstone · End-to-End Enterprise AI Transformation

A complete transformation from customer discovery to production deployment and business value measurement, presented to industry reviewers.

10 Career Outcomes

Roles you will be ready for

Enterprise AI Engineer
Forward Deployed AI Engineer
Applied AI Engineer
AI Solutions Architect
AI Platform Engineer
AI Product Engineer
Enterprise Automation Engineer
AI Consultant
AI Transformation Consultant
AI Integration Engineer
Customer Engineer (AI)
AI Innovation Lead

Where enterprise AI talent is hired

Organisations across consulting, technology, financial services, healthcare, manufacturing, retail, telecom and government are actively investing in enterprise AI.

Global Consulting Firms Cloud Providers Enterprise Software AI Startups Product Companies Global Capability Centres Digital Transformation Teams Fortune 500 Enterprises

// on_successful_completion

Post Graduate Program in Enterprise AI Engineering

Specialisation in Forward Deployed AI Engineer

  • Assessfy Certified Forward Deployed AI Engineer (CFDAE)
  • Digital portfolio of enterprise AI projects
  • Industry residency completion certificate

11 Certification

Credentials that prove you can build and deploy

You graduate with more than a certificate. You leave with a recognised credential, a portfolio of shipped enterprise AI projects, and proof of a real industry residency. It is the evidence employers and clients actually look for.

12 Who Should Attend

Built for engineers, professionals and founders

Students

  • Final-year engineering students
  • MCA, MSc and M.Tech students
  • Computer science graduates
  • Data science graduates

Working Professionals

  • Software & full stack engineers
  • AI engineers & data scientists
  • DevOps & cloud engineers
  • Solution architects & consultants
  • Product & technical project managers

Entrepreneurs

Technology founders and professionals building AI-first products and startups who want to design, build and deploy enterprise-grade AI themselves.

13 Why Aegis

Two decades at the frontier of AI & Data Science education

Aegis launched India's first Post Graduate Program in Data Science in 2015. A decade later our alumni lead AI teams across hundreds of companies.

2015
India's first Data Science PGP
500+
Companies hiring Aegis alumni
8.5L–40L
Alumni package range
20+ yrs
In AI, analytics & transformation

// alumni_shaping_AI_at

RelianceDeloitteEYRed HatKPMGMorgan StanleyWells FargoAmazonAccentureLTI+ 500 more

14 Alumni Voices

What Aegis graduates say

SP
★★★★★

One of the best institutes for data science in Mumbai. The curriculum covers everything you need, taught by industry experts who genuinely care.

Sameer Pophali

Analytics Specialist, Linedata

BS
★★★★★

Industry experts deliver the modules. If you are passionate about data science and AI, Aegis is the best place to start. The depth and network are unmatched.

Bharat Solanki

Senior Data Scientist

AS
★★★★★

I joined Aegis as a full-time student. The course helped me transform into a working data scientist with real placement support.

Ayush Kumar Singh

Specialist Data Scientist, LTI

FW
★★★★★

A rigorous, up-to-date curriculum and incredible faculty gave us well-rounded preparation that opened doors to top global firms.

Falgunee Warutkar

Senior Associate, Morgan Stanley

// reviews from Aegis School of Data Science alumni across our AI and data science programs

15 FAQ

Questions, answered

What exactly is a Forward Deployed AI Engineer?

A Forward Deployed AI Engineer works alongside enterprises to modernise legacy systems, build AI-powered products, automate workflows, integrate AI into mission-critical applications and deliver measurable business outcomes. The specialisation trains you to bridge cutting-edge AI with real business transformation.

Do I need a computer science background?

A strong fit includes engineering, MCA, MSc, M.Tech, computer science and data science backgrounds, as well as working software, cloud, DevOps and data professionals. The program begins with Enterprise Computing Foundations so motivated applicants can build the base they need.

How long is the program and how is it structured?

Six phases: Enterprise Computing Foundations (6 weeks), AI Engineering Foundations (8 weeks), Enterprise AI Systems Engineering (8 weeks), Enterprise AI Infrastructure (5 weeks), Enterprise AI Transformation (4 weeks) and an Industry Residency and Capstone (5 weeks plus internship), with 340+ hours of faculty-led learning.

What is the industry residency?

Every participant completes a 2 to 6 month residency working on real enterprise AI transformation projects under industry mentors. It gives you exposure to enterprise AI implementation, product engineering, client engagement and deployment at scale.

What credential do I earn?

You receive the Post Graduate Program in Enterprise AI Engineering with a specialisation in Forward Deployed AI Engineer, the Assessfy Certified Forward Deployed AI Engineer (CFDAE) credential, a digital portfolio of enterprise AI projects and an industry residency completion certificate.

How do I apply?

Share your details using the form below and the Aegis admissions team will reach out with eligibility, fees, schedule and the next cohort dates. You can also call admissions on +91 7777 066 810.

16 Admissions

Become an Enterprise AI Engineer

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