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Designation
Company
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Build Autonomous Agents that Think, Act and Deliver
Multi-agent Orchestration and Automation
Tool-use, Memory and Reasoning
Cloud Deployment and Observability
Key Highlights
136 Hours of Expert-Led Training
Live virtual classes, guided labs and continuous mentorship across four months
Production-Ready RAG and Safety
Develop master over hallucination reduction, evaluation frameworks, observability, guardrails and policy enforcement
Industry Relevant Projects and Capstone
Work on projects that demonstrate automation impact on business workflows
Enterprise Deployment Expertise
Serve agents via FastAPI and Docker, and Scale on AWS / Azure / HuggingFace with logging, tracing and cost control
Cutting-Edge Agentic AI Engineering
Build AI agent workflows using the latest frameworks like LangChain, LangGraph, CrewAI and AutoGen
Portfolio that Speaks for You
Showcase industry-relevant Agentic AI application on GitHub for employers to evaluate
Autonomous Multi-Agent Workflows
Design collaboration, routing, planning, tool-use, memory and reasoning for complex tasks
Career Support
Personalized guidance for interviews, portfolios and AI-aligned career pathways
Is This Program Right for You?
This program is suited for people who want to go beyond chat interactions and build AI agents that can automate complex tasks. If you are
A working professionals aiming to upskill in AI-driven automation
A developer or data scientist ready to integrate agents into your workflow
In a digital transformation, product, or innovation team deploying AI capabilities
An undergraduate engineering student in the final year of your degree seeking career defining AI skills
One who wants to future-proof their career in the Agentic AI era
Learning Outcomes
1.Build Autonomous AI Agents
- Engineer agents that plan, act, and adapt
- Implement tool-use, structured output and workflow control
- Integrate semantic, episodic and summary memory
2.Master Multi-Agent Collaboration
- Design manager–worker, swarm and expert-team patterns
- Enable reasoning enhancement through agent interaction
- Build orchestration using LangGraph, CrewAI and AutoGen
3.Apply Modern Generative AI Foundations
- Understand transformers, self-supervision and alignment methods
- Work with leading model APIs and open-source LLMs
- Fine-tine models for domain specific tasks
4.Develop Reliable RAG Systems
- Implement vector search, rerankers and fusion-based retrieval
- Reduce hallucination with evaluation frameworks
- Optimize cost, latency & throughput for production use
5.Deploy and Operate Enterprise-Scale Agents
- Serve agents with FastAPI and Docker
- Deploy on AWS / Azure / HuggingFace
- Apply monitoring, guardrails, and policy enforcement
Learning Outcomes
1.Build Autonomous AI Agents
- Engineer agents that plan, act, and adapt
- Implement tool-use, structured output and workflow control
- Integrate semantic, episodic and summary memory
2.Master Multi-Agent Collaboration
- Design manager–worker, swarm and expert-team patterns
- Enable reasoning enhancement through agent interaction
- Build orchestration using LangGraph, CrewAI and AutoGen
3.Apply Modern Generative AI Foundations
- Understand transformers, self-supervision and alignment methods
- Work with leading model APIs and open-source LLMs
- Fine-tine models for domain specific tasks
4.Develop Reliable RAG Systems
- Implement vector search, rerankers and fusion-based retrieval
- Reduce hallucination with evaluation frameworks
- Optimize cost, latency & throughput for production use
5.Deploy and Operate Enterprise-Scale Agents
- Serve agents with FastAPI and Docker
- Deploy on AWS / Azure / HuggingFace
- Apply monitoring, guardrails, and policy enforcement
Program Overview
AI is no longer just generating text — it’s taking action. The future belongs to autonomous AI agents that can plan, reason, and execute complex business processes with speed and precision. Companies are urgently looking for professionals who can build and deploy Agentic AI to unlock massive productivity gains and stay ahead of competition. This intensive 4-month program gives you command over the full Agentic AI stack — from LLMs and RAG systems to multi-agent collaboration, orchestration and advanced reasoning techniques like ReAct, ToT and self-critique loops. You’ll build and deploy agentic systems using LangChain, LangGraph, CrewAI, AutoGen, vector databases and cloud platforms. Through live expert-led sessions, hands-on labs, and a production-grade capstone project, you’ll gain the confidence and capability to deliver AI autonomy in the enterprise from Day 1. This is the expertise that companies are racing to hire.
What you will learn
Across four months of intensive learning, you will build strong expertise in:
Modern Generative AI Foundations
- Understand transformers, self-supervision and alignment
- Work with leading model APIs (open and commercial)
- Fine-tune LLMs for domain-specific use cases
Advanced Retrieval and RAG Techniques
- Build vector-based retrieval with rerankers and fusion search
- Reduce hallucination using evaluation frameworks
- Optimize latency, cost and context quality for production
Autonomous Agent Architecture
- Build agents that plan, act & adapt to goals
- Implement tool-use and structured output controls
- Add buffer, semantic & episodic memory for continuity
Multi-Agent Orchestration and Collaboration
- Design manager–worker and swarm patterns
- Enable expert-team reasoning enhancement
- Orchestrate workflows using LangGraph, CrewAI and AutoGen
Enterprise Deployment and Operations
- Serve agents with FastAPI, Docker & scalable APIs
- Deploy on AWS / Azure / HuggingFace with CI/CD best practices
- Monitor behavior, enforce guardrails & optimize cost
Production-Grade Business Automation
- Integrate agents into real workflows with shared artifacts
- Track reliability, performance & operational impact
- Deliver an autonomous AI solution as your capstone
Proof of Mastery
When you complete this program, you won’t just understand Agentic AI — you will have the following that demonstrate your ability to build autonomous systems that work in real business environments:
Multi-agent automation project portfolio showcasing reasoning, planning & collaboration
Production-grade capstone deploying an AI agent with observability, guardrails & cost optimization
GitHub repository with clean workflows, structured output, memory integration & API-first design
Verified cloud deployment of AI agents on AWS / Azure / HuggingFace demonstrating readiness for production environments
Validated agent performance with measurable automation and reliability metrics
Career Support
Your career matters to us as much as your learning. That’s why, at Artiq Insights, we pair rigorous training with focussed career support. We help you navigate the job market with clarity and confidence as you move towards the roles you aspire to.
Personalized Career Mentorship
Work closely with our experienced mentors to navigate career paths, identify your strengths, and set achievable goals. Through honest feedback, direction, and continuous support, they help you develop the clarity and confidence to shape a strong and purposeful career with conviction.
Personal Branding and Professional Portfolio
Present your technical and analytical skills with a strong résumé and LinkedIn profile, developed with help from our mentors. They also support you in building a professional portfolio of real-world projects and case studies that you can share with confidence.
Access to Our Hiring Network
We connect you with trusted hiring partners, recruiters, and placement agencies who regularly seek skilled professionals. You also gain the opportunity to work with us on select projects, giving you practical exposure and experience that align with your abilities and aspirations.
Interview Accelerator
Interviewing can be challenging, but you won’t have to face it alone. Through simulated interviews, feedback, and guidance from professionals, you’ll refine your technical, and behavioral responses. We help you step into the hiring process articulate, composed, and ready to demonstrate your mastery.
Long-term Support
Your journey doesn’t end with graduation. Whether you’re preparing for your next role, switching domains, or aiming higher, we remain a committed partner in your long-term growth. Even after you complete the program, you will continue to receive access to class recordings, the LMS, and mentor and career support for a full year—ensuring you always have guidance when you need it.
Faculty Profile
Srinivasa Varadharajan
PhD (Physics), 2002,
University of Missouri - Rolla, USA
University of Missouri - Rolla, USA
Rajan is a passionate educator and innovator with over 25 years of teaching and research experience. His core philosophy is to strip down the layers and solve problems at their root, always seeking the essential truth of a challenge. With two books, dozens of publications, and a legacy of mentoring future academics worldwide, he prioritizes practical, human-centered innovations that make everyday life easier.
Seshasayee Sreenivasan
MS (Operations Research), 1987,
Case Western Research University, USA
Case Western Research University, USA
Professor Seshasayee Sreenivasan is considered a teacher among teachers and a role model for many. With more than 40 years of academic and industrial experience, he brings with him a vast amount of knowledge and experience in statistics and optimization. He is a visiting faculty at many reputed institutions including IITM, IFMR and LIBA.
Siddhart Srivatsav Rajendran
PhD (Psychology), 2018,
University of Nevada, Reno, USA
University of Nevada, Reno, USA
Siddhart is a multifaceted researcher and teacher with equal footing in cognitive psychology and modern artificial intelligence. His research primarily focuses on color vision - both human and computational models. He is an excellent teacher with experience in teaching a wide spectrum of courses from Python and Statistics to advanced topics in AI and Agentic AI.
Video Testimonials
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Curriculum and Program Details
This program is structured to take you from essential LLM foundations to advanced Agentic AI engineering. Each module combines expert instruction, guided labs, and deployment exercises, ensuring you learn by building. The curriculum is designed to help you gain the skills to design, orchestrate, and scale autonomous AI systems in real business environments.
Neural Networks, Attention Transformers
Embeddings and Semantic Search
LLM Inference and APIs
Indexing, Chunking (semantic/recursive), text splitting
Embedding Models and Vector Databases
Advanced RAG Architectures
Introduction to AI Agents
Function Calling and Structured Output
Memory Systems for Agent
Reasoning Techniques for Agents
Frameworks for Agentic AI
Multi-Agent Patterns
Orchestration
Multi-Agent Memory, Artifacts
Multi-Agent Safety
Docker and FastAPI
AWS / HuggingFace Deployment
Deploying Agentic AI on Azure
Observability for Agentic AI Systems
Guardrails and Policy Enforcement
Governance: privacy, compliance, model cards, audit trails
Learning Format
- Live Online Classes
- Expert-Led Lab Sessions
- Guided Projects and Capstone
- One-on-One Technical and Career Guidance and Mentorship
Time Commitment
- Duration: 136 hours over 4 months
- Pacing: 8 hours per week
Tools and Technologies You Will Master
Assessments and Certification
- End-of-module Assessments
- Capstone Project Presentation and Defence
- Portfolio-based Evaluation
- Completion Certificate
Fee Details
Program Fees
(including GST): Rs. 75,000/-
Payment Flexibility
- EMI options to support monthly planning
- Eligible for corporate upskilling support (contact us for details)
Merit Scholarship
The top-performing learner in every cohort, meeting certain criteria, will receive a 30% scholarship. The award will depend upon the learner’s performance in assessments and projects, and consistent attendance.
How to Enroll
We make getting started simple — and we’re here to support you every step of the way. Since this is a rigorous, career-focused program, we guide each learner through a short consultation and a readiness evaluation to ensure a strong match and set you up for success.
Enrollment Process
- Submit Your Application
Tell us about your background, goals, and why you want to specialize in Agentic AI. - Personalized Consultation
Speak with our team to clarify your path, understand program expectations and assess fit. - Readiness Evaluation
Take a short online assessment that checks your technical readiness, so you feel confident from day 1. - Secure Your Seat
Once accepted, complete your enrollment and join a community of motivated professionals in the next cohort.
What’s Included in Your Enrollment
- 136 hours of live and guided learning
- Mentorship and project support
- Capstone guidance and review
- Career coaching, mock interviews and portfolio support
- Certificate upon successful completion
Prerequisites
- Intermediate Python Skills - Functions, classes, virtual environments, error handling
- Experience working with APIs & JSON - Calling endpoints, parsing responses, integrating outputs
- Basic machine learning understanding - Train/test split, model performance, overfitting vs. underfitting
- Familiarity with command line & Git - Code versioning and environment setup
If you are excited about building a career in AI, we are here to help you make it happen.
Your trusted partner in AI training, consulting and innovation.
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