16 Weeks Training + Capstone Projects

Applied
Agentic & Gen AI Systems

Program for Tech Professionals

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LEARN MOST TRENDING AI TOOLS

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Who should enroll?

Made for Ambitious Tech Professionals

Software Professionals
Software Engineers
DevOps Engineers
Backend Developers
Full-Stack Developers
Tech Leaders
CTOs
Engineering Managers
Tech Founders
Technical Product Managers
Al & Data Specialist
Data Scientists
NLP Specialists
AI Researchers
Machine Learning Engineers
Tech 
Innovators
Startup Founders
Tech Consultants
Tech Entrepreneurs
Product Innovators
Al Enthusiasts 
& Learners
Tech Hobbyists
Career Transitioners
Engineering Students
Self-Taught 
Programmers
Find your cohort

Designed for Every Career Stage

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1–3 Years of Experience
AI Launchpad
Build systems that scale you
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3-9 Years of Experience
AI Architect
Design intelligent frameworks and scale success
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10+ Years of Experience
AI Vision
Shape the future 
with AI-empowered leadership

Designed for future-thinking tech professionals across industries:

Marketing & Content
Sales & Growth
Product, Program & Project
Finance, Data, IT
HR & People Ops
Leaders & Consultants
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Marketing & Content

From brand creatives to campaign rollouts — build your AI edge.

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Sales & Growth

Auto-source leads, pitch smarter, and scale your reach.

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Product, Program & Project

Streamline dashboards, updates, and stakeholder ops with AI.

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Finance, Data, IT

Clean, analyse, report — in half the time, with twice the clarity.

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HR & People Ops

Let AI agents pre-screen, follow-up, and organise for you.

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Leaders & Consultants

Free up mindspace for strategy — and let AI handle the grunt.

Program Outline

Your Roadmap to Becoming an AI Professional

PHASE 0
Software Engineering &
Backend Foundations
(Pre-recorded content)
Focus:

  • Python proficiency and programming basics

  • API fundamentals

  • Familiarity with Git workflows

Market Application:

  • Async content to bring you at pace with the program.

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PHASE 1 (Weeks 1–3)
AI Product Builder
Focus:

  • LLM engineering foundations

  • Prompt architecture and evaluation pipelines

  • Enterprise knowledge copilots using RAG

Market Application:

  • Enterprise document copilots, AI QA systems, multi-model routing consoles

Key Outcome:

Engineer scalable prompt architectures and rigorous evaluation pipelines to deploy high-precision, 
RAG-powered enterprise knowledge copilots.

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PHASE 2 (Weeks 4–6)
Enterprise Intelligence 
Architect
Focus:

  • Hybrid retrieval and GraphRAG architectures

  • Multi-source knowledge orchestration

  • Decision intelligence systems

Market Application:

  • Executive intelligence dashboards, research copilots, relationship intelligence engines

Key Outcome:

Architect advanced Hybrid and GraphRAG systems that orchestrate 
multi-source knowledge to drive high-fidelity decision intelligence

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PHASE 3 (Weeks 7–10)
Autonomous Workflow Automation Architect
Focus:

  • Agentic AI system design

  • Multi-agent collaboration

  • Memory-driven AI workflows

  • Human-in-the-loop automation

Market Application:

  • Sales automation AI, support automation agents, recruiting automation workflows

Key Outcome:

Design collaborative, memory-driven multi-agent systems that drive autonomous workflows with strategic human-in-the-loop automation.

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PHASE 4 (Weeks 11–14)
AI Infrastructure Manager
Focus:

  • AI backend services

  • Inference serving and scaling

  • Observability, monitoring, and reliability

  • AI cost engineering and model routing

Market Application:

  • Enterprise AI service infrastructure, AI governance platforms, cost optimisation engines

Key Outcome:

Architect scalable, 
resilient AI backend services that optimise cost and reliability through intelligent model routing and deep observability.

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PHASE 5 (Weeks 15-16)
Enterprise 
AI Platform Strategist
Focus:

  • AI platform architecture design

  • Multi-tenant AI services

  • SLA and reliability engineering

  • Full AI operations platform development

  • Mega Capstone with full Al operations platform development

Market Application:

  • Enterprise AI automation platforms managing cross-department workflows

Key Outcome:

Architect robust, 
multi-tenant AI platforms that ensure strict SLAs and reliability to power 
a comprehensive, 
end-to-end AI operations ecosystem.

Project Timeline

Flagship Capstone Projects

Phase 1: AI Product Builder
1. AI-Driven Multi-Model Query Routing Console

Create a routing system that intelligently routes queries from users to the right model (e.g., HR questions, legal questions, finance queries) for optimal results.

2. AI QA Systems for Knowledge Management

Build an AI-powered QA system that leverages generative AI for answering business-specific questions based on existing knowledge bases.

Phase 2: Enterprise Intelligence Architect 
1. Enterprise Knowledge Graph for Multi-Source Integration

Build a hybrid retrieval and GraphRAG system to integrate multiple data sources into a cohesive knowledge graph.

2. Decision Intelligence Dashboard for Executives

Design a dashboard that integrates enterprise data (e.g., from HR, finance, operations) to provide actionable insights for executive decision-making.

Phase 3: Autonomous Workflow Automation Architect 
1. Autonomous Multi-Agent Sales Workflow System

Create a multi-agent system for automating sales workflows, including lead nurturing, engagement, and conversion tasks.

2. AI-Powered Support Automation Agent

Design an AI agent that handles customer support queries autonomously, with the option for human intervention when needed.

Phase 4: AI Infrastructure Manager
1. Scalable AI Inference Serving for Multi-Agent Systems

Build an infrastructure system to serve AI model inferences at scale, supporting the deployment of multiple agent models.

2. AI Cost Optimization and Model Routing

Develop a cost-optimization platform that tracks the resource usage of AI models and routes tasks to the most efficient model based on cost and performance.

Phase 5: Enterprise AI Platform Strategist
(Mega Capstone Project)
1. Cross-Department AI Workflow Automation Platform

Design and deploy an enterprise-wide AI platform that supports the automation of workflows across HR, finance, operations, and customer support using multi-agent systems.

2. AI Platform SLA & Reliability Engineering for Enterprise Automation

Implement reliability engineering practices and SLA-driven models to ensure 
the AI platform is always available and operational.


To know more about the curriculum
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Our Mentors

Meet Your Mentors

Learn from proven AI practitioners with real-world expertise

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Rahul Thakur

Founding ML Engineer- OptIQ.AI

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Anirban Paul

Co-Founder & Director of Execution - AIML & Data Science - Mindgraph AI

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Tanay Kedia

Product Manager - ANAROCK

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Gaurav Singh Rajput

Machine Learning Operations Engineer - Fractal

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Shantanu Shubham

SE 2 @ Intuit,Ex - G-P, Amazon, SLB - Intuit

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Swapravo Sinha Roy

Director of Operations - Mindgraph AI

Backed by AI Leaders

Backed by the best AI leaders of the world

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Quality Education from Industry’s Top Experts
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Nexus Venture Partners

Newton School

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RTP Global

Newton School

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Steadview Capital Management

Newton School

Pricing

Program with affordable pricing

Applied
Agentic & Gen AI Systems
EMI starts from
₹5,000 per month
APPLY NOW
Request callback
* Scholarship awarded post-interview based on performance.
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⁠Duration: 16 Weeks | Designed for Working Professionals
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Delivery Format: 100% Online
(Live Expert-Led Sessions + Guided Self-Paced Learning)
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⁠90+ Hours of Intensive, Hands-On Live Learning
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Faculty Featuring MAANG Engineers, AI Founders & Senior Industry Practitioners
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Build 10+ Production-oriented, Portfolio-defining AI Projects
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⁠Earn Newton School Certification in Applied Agentic & Gen AI Systems
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Selective Merit-Based Scholarships Available
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Exclusive Scholarship Benefits for Newton School Alumni
FAQs

Frequently Asked Questions

When are the classes scheduled? Will they be on weekdays or weekends?

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Classes are held on weekends only, designed to fit into the busy schedules of working professionals.

Will recordings of the sessions be provided?

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Yes, all sessions are recorded and available for your lifetime access so you can learn at your own pace.

How much hands-on practice will I get during the program?

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You’ll get over 90 hours of intensive hands-on practice in the program.

Will I be able to build real Al projects by the end of this program?

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Absolutely, you will build multiple real-world AI projects with personalized mentor support

Is this program designed for tech professionals?

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Yes, the program is designed specially for tech professionals who want to upskill themselves in AI.

How is this different from other Al courses available online?

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This is a hands-on, mentor-led program focused on agentic AI with real-world applications, not just theory.

How long will I have access to the training recordings?

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You will have lifetime access to all course recordings and materials.

I'm a busy professional with limited time. Can I still benefit from the program?

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Yes, the weekend-only schedule, flexible recordings, and dedicated mentorship are tailored for busy professionals.

Applied
Agentic & Gen AI Systems
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