Offline

Agentic AI MasterCamp (AIM)

A complete deployment ready program for Developers, Freelancers & Product Managers to be Agentic AI professionals

To Future proof your career

AI agents are not future, they are already impacting jobs globally. It is a must to have skills to ensure you are a sought after individual, not someone fearing job loss

30

Seats Only

100%

Fees Refund*

6

Weekends

Recordings

Available

23+

FDPs Organized

1.1 Crores

Funds Invested

1200+

Faculties Upskilled

248+

Colleges Participated
Enroll Now
Download Brochure

Be the most in-demand Tech Person

Curated & Created by
Industry
Experts from
& 30 Other Tech, Service And Startup Companies

Program Outcome

Turn AI from a buzzword into your biggest advantage.

Hands-On Training via projects and tools Langflow, Langchan, Google AI Studio, etc
End to End System Design from sketching, architecture, building to monitoring performances, and setting guardrails
Cost & Workflow Optimization via Caching, Balance model costs vs. latency and accuracy and using tools like Openrouter/LiteLLM
Multi-Agent Orchestration via specialized agents (FAQs, schedulers, enrichers) coordinating with in build fallback and error-handling
Solve for Real Business uses like ticket routing, data enrichment, SLA and measure impact with metrics: speed, satisfaction, ROI
For Better Career via learning the most important skill of today’s time and building a unique portfolio of projects to showcase

Learning Features

A program created to ensure you find the best learning environment with like-minded folks at a pace that is comfortable for folks new to Agentic AI

Low Code/ No Code
Focus on Strong Fundamentals
100% Project-based
Offline Classes on the Weekend
Recorded sessions of classes
Collaborative Learning
Network with peers
Lab work and weekly demos

Experts

Shubhanshu Singh

Principal Engineer – AI & Platform Architecture
11+ Years of Experience
  • Led GenAI tools at Lowe’s using n8n, LangChain, Haystack, CrewAI, RAG and AI Agents
  • Led GenAI tools at Lowe’s using LangChain and RAG systems
  • Built scalable IDPs and in-house A/B testing platforms
  • Ex-CTO at Halaplay; scaled systems to 8K+ TPS
  • Skilled in full-stack, big data, and GenAI frameworks

Rakesh Bhugra

Machine Learning Engineer
4+ Years of Experience
  • Staff Software Engineer specializing in scalable platform architecture.
  • Expert in cloud-native development and distributed systems.
  • Proficient in AI/ML integration and backend engineering.
  • Drives innovation through optimization and system design.
  • Strong contributor to enterprise-grade software solutions.

Support Experts

Shikha Singh

Senior Data Scientist
  • 4+ years of experience in NLP, GenAI, Computer Vision, and RL
  • Built scalable ML pipelines and deployed production models
  • Expertise in LLMs, BERT, YOLO, SAM, ViT, and multimodal architectures
  • Delivered solutions for e-commerce, FMCG, and content automation
  • Former Data Scientist at DataWeave, EDGE Networks; now at Fortive
  • Rakesh Bhugra

    Machine Learning Engineer
  • 4+ years of experience in ML, NLP, and Knowledge Graphs
  • Built topic modeling and search systems using BERTopic, Elasticsearch
  • Developed knowledge bases and semantic graphs using Neo4j
  • Experience with CV, object tracking, and automated surveillance
  • ML Engineer with prior internships in media and research domains
  • Program Consultants & Guest Lecturers

    Siva Swaminathan

    Saahil Agrawal

    Vikas Ranjan

    Lata Vishwanath

    Nagappa Vishwanatha

    Be Ready for roles like:

    Designation

    AI Agent Engineer

    Average 19 LPA
    Designation

    LangChain Developer

    Average 19 LPA
    Designation

    Agentic AI Solutions Architect

    Average 19 LPA
    Designation

    Enterprise AI Consultant

    Average 19 LPA
    Designation

    Multi-Agent Systems Engineer

    Average 19 LPA
    Designation

    AI Product Engineer

    Average 19 LPA

    Skills & Tools

    Explore industry standard tools and technologies

    Be Ready for Companies & Roles like:

    AI Agent Engineer
    LangChain Developer
    Agentic AI Solutions Architect
    Enterprise AI Consultant
    Multi-Agent Systems Engineer
    AI Product Engineer
    Virtual Assistant Developer

    Projects from all key domains

    Domain wise projects help you build skills that makes you most in demand person in your circles. You can bring your own projects too

    Project 1: Fraud Detection Triager

    • Goal: Flag suspicious transactions in real-time.
    • Agentic Components:
      • Multi-agent workflow:
        • Monitor Agent: Scans transactions using rules + LLM anomaly detection.
        • Investigation Agent: Summarizes user history (via RAG on customer data).
      • Guardrails: Blocks high-risk transactions; requires human review for edge cases.
    • Deployment: Integrates with payment gateways (Stripe/PayPal) + SMS alerts.

    Project 2: Personalized Wealth Advisor

    • Goal: Provide investment insights based on risk profile.
    • Agentic Components:
      • RAG: Pulls data from financial docs (SEC filings, market news).
      • Tooling: Fetches live stock prices; simulates portfolio impacts.
      • Prompt Engineering: Uses "Chain of Thought" to explain recommendations.
    • Deployment: Secure web portal (Azure) + audit logs.

    Project 1: Smart Inventory Assistant

    • Goal: Optimize stock levels using real-time sales data and external factors (e.g., weather, trends).
    • Agentic Components:
      • Multi-agent workflow:
        • Forecast Agent: Predicts demand (using historical data + LLM analysis).
        • Procurement Agent: Auto-orders stock via supplier APIs when thresholds are breached.
      • RAG: Ground decisions in inventory manuals, supplier contracts, and market reports.
      • Guardrails: Human approval for large orders; alerts for anomalies.
    • Deployment: Slack/email alerts; integrates with ERP tools like SAP.

    Project 2: In-Store Customer Concierge

    • Goal: Assist shoppers via kiosk/mobile app.
    • Agentic Components:
      • RAG: Answers product queries using store catalog, return policies, and promo details.
      • Tooling: Checks live inventory via API; books fitting rooms.
      • Human-in-the-loop: Escalates complex issues to staff.
    • Deployment: Web app (Netlify) + lightweight backend (AWS Lambda).

    Project 1: Automated Bug Triage System

    • Goal: Route bug reports to the right engineering team.
    • Agentic Components:
      • Multi-agent workflow:
        • Triage Agent: Classifies bugs using RAG (past tickets, docs).
        • Assignment Agent: Matches bugs to devs based on expertise/sprints.
      • Tooling: Creates Jira tickets via API; pings Slack channels.
    • Deployment: Chrome extension + Zapier hooks.

    Project 2: API Documentation Assistant

    • Goal: Help devs integrate APIs faster.
    • Agentic Components:
      • RAG: Answers queries using API docs, code samples, and Stack Overflow.
      • Tooling: Generates code snippets (via OpenAI); tests endpoints.
      • Optimization: Semantic caching for frequent queries.
    • Deployment: VS Code plugin + Chroma vector DB.

    Project 1: Dynamic Returns Handler

    • Goal: Automate return/refund workflows.
    • Agentic Components:
      • Multi-agent workflow:
        • Validator Agent: Checks return eligibility (RAG on policy + order history).
        • Logistics Agent: Generates shipping labels; updates inventory.
      • Guardrails: Escalates disputes to staff.
    • Deployment: Shopify app + Fedex API integration.

    Project 2: Personalized Upsell Bot

    • Goal: Increase cart value via real-time recommendations.
    • Agentic Components:
      • RAG: Leverages product catalogs and user behavior data.
      • Prompt Engineering: "Tree of Thought" to optimize suggestion sequences.
      • Tooling: Applies discounts; tracks conversion metrics.
    • Deployment: Chat widget (Dialogflow) + BigQuery analytics.

    Project 1: Predictive Maintenance Coordinator

    • Goal: Reduce equipment downtime.
    • Agentic Components:
      • Multi-agent workflow:
        • Sensor Agent: Analyzes IoT data for anomalies.
        • Maintenance Agent: Schedules repairs (RAG on manuals + technician calendars).
      • Tooling: Books parts; notifies teams via Microsoft Teams.
    • Deployment: Edge device + cloud dashboard (Azure IoT).

    Project 2: Supply Chain Resilience Agent

    • Goal: Mitigate disruptions (e.g., delays, shortages).
    • Agentic Components:
      • RAG: Ingests supplier contracts, weather, and news.
      • Prompt Engineering: "ReAct" framework to simulate impact scenarios.
      • Optimization: Semantic caching for supplier lead times.
    • Deployment: Slack bot + Airtable integration.

    Project 1: Campaign Performance Optimizer

    • Goal: Boost ROI for ad campaigns.
    • Agentic Components:
      • Multi-agent workflow:
        • Analyst Agent: Summarizes metrics (Google Ads, FB) using RAG on past reports.
        • Optimizer Agent: Adjusts bids/keywords; allocates budgets.
      • Guardrails: Requires approval for >$1k spend changes.
    • Deployment: Google Sheets plugin + Meta API.

    Project 2: Content Compliance Auditor

    • Goal: Ensure brand safety in social/content.
    • Agentic Components:
      • RAG: Checks posts against brand guidelines and legal docs.
      • Tooling: Scans images/text; flags violations (hate speech, copyright).
      • Human-in-the-loop: Sends alerts for high-risk content.
    • Deployment: Chrome extension + Slack alerts.

    Program Module to be a kick-ass Agentic AI Developer!

    Nothing gets latest than this program. Starting from basics in a project based manner, you leave as an expert!

    Week 1

    LLMs, Agents & Prompts: The Why & How

    Day 1: Getting Started, Journey to AI Agents, Basics of LLMs, When and why go agentic

    Day 2: Prompt Engineering - Basics to Advanced

    View Modules
    Week 2

    Getting Started with Agents, RAG

    Day 3: Vector databases and memory buffers for stateful agents.

    Day 4: How agents use external knowledge: Retrieval-Augmented Generation (RAG).

    View Modules
    Week 3

    Agentic Architecture, Tooling, Guardrails

    Day 5: Agentic design patterns and roles. Multi-agent architectures (routers, planners, specialists).

    Day 6: Focus on building working prototypes with minimal code.

    View Modules
    Week 4

    MCPs, Optimize

    Day 7: Model Context Protocol

    Day 8: Caching and Optimization Strategies

    View Modules
    Week 5

    Deploy, Best Practices

    Day 9: Deploy AI agents with database integration and monitoring.

    Day 10: Best practices for prompts, agents, monitoring, and human oversight to manage AI performance and limitations.

    View Modules
    Week 6

    Capstone

    Wrap up with final team projects: build a usable AI agent MVP for a specific use case. Review recently released tools: e.g. OpenAI’s Assistants API and consider how it could fit into architectures. Discuss future trends and continuous learning cycles.

    View Modules

    Program Overview

    4x2 (8) hrs/week instructor-led + 4 hrs/week self-study

    Code Levels

    Low Code for Agentic AI

    Duration

    6 weeks

    Format

    Offline

    Who Should Join?

    Career Switchers: From web dev, DevOps, or data roles to AI.
    Product/Project Managers/Architects: Design agent architectures, plan features without coding.
    Strategy & Operations: Build an AI workforce, Automations, or products
    Somehow related to Tech

    Developers

    Build smarter apps with cutting-edge AI tools

    Freelancers

    Boost your AI skills to expand client work

    Product Managers

    Learn to lead teams building with AI

    Want to be an AI Agent Developer

    Start creating powerful AI agents today

    Who is it not for?

    Those who don’t want to learn via engaging interactive environment from top folks and those who don’t think they need to learn Agentic AI Development

    Enroll Now!

    Choose the perfect plan for your learning journey

    Cost of Tools Upto INR 5,000 Included
    Recordings of all classes
    Guest Lectures from various AI Leaders
    Networking with Peers
    For Individual Enrollment

    INR 34,888 + GST

    Includes project, certification & Guest Lecture (if any) costs

    Enroll Now
    For Group (of 4) Enrollment

    INR 29,888 + GST (per person)

    Includes project, certification & Guest Lecture (if any) costs

    Enroll Now

    Enroll Now!

    Choose the perfect plan for your learning journey

    Tools worth ₹5000 + Included
    Free Add-on: 3 Hr n8n training
    100% Hands-on & Offline
    Projects from 6+ Domaining
    Networking with Peers

    Contact us

    For Individual Enrollment

    ₹34,888 + GST

    Batch starting on July 5

    Enroll Now
    For Group (of 4) Enrollment

    ₹29,888 + GST
    (per person)

    Batch starting on July 5

    Enroll Now

    Certificate to Add Real Value

    All participating faculty will receive a certificate of participation from Capabl & CSI — a Nasscom-incubated company, accredited by ISO (UK & USA), and recognized by MSME & Startup India.

    Enroll Now

    About Computer Society of India

    Computer Society of India is a body of computer professionals in India. It was started on 6 March 1965 by a few computer professionals and has now grown to be the national body representing computer professionals. It has 72 chapters across India, 511 student branches, and 100,000 members.

    ‍The Computer Society of India is a non-profit professional meet to exchange views and information to learn and share ideas. The wide spectrum of members is committed to the advancement of theory and practice of Computer Engineering and Technology Systems, Science and Engineering, Information Processing and related Arts and Sciences.

    Frequently Asked Questions

    Have question ? We're here to help.

    Still unsure?

    Contactfor a 1:1 consultation! Limited seats – Apply Now