Build End-to-End AI Skills for a High-Growth Career

Key Highlights

336 Hours of Expert-Led Training
Live virtual classes, guided labs and continuous mentorship across nine months
Agentic AI Workflows
Build autonomous agents that reason, use tools, and act to solve real problems
Industry Relevant AI Projects and Capstone
Build solutions that demonstrate both theoretical depth and engineering capabilities
Portfolio that Speaks for You
Showcase industry-relevant Agentic AI application on GitHub for employers to evaluate
End-to-End AI Skill Development
Master skills from statistical modelling to Agentic AI, including deployment
Insight and Impact Communication
Learn how to explain your findings and recommendations through impactful visuals and storytelling
AI Engineering and Deployment Workflows
Learn version control, reproducibility, model monitoring, and deployment
Career Support
Personalized guidance for interviews, portfolios and AI-aligned career pathways

Is This Program Right for You?

This program is designed for ambitious learners who want to build a strong and enduring career in AI, including:
Working professionals in IT and allied fields looking to accelerate their career growth with real AI capabilities
Professionals seeking a career transition to Data Science, Machine Learning or AI roles
Recent graduates who aspire to enter the AI industry with practical skills and a portfolio that stands out
Academics, researchers, engineers and entrepreneurs who want to strengthen their AI expertise and apply it to solve problems in their respective domains

Learning Outcomes

1.Build Analytical and Statistical Reasoning
  • Apply appropriate statistical tests to validate hypotheses and support data driven decisions
  • Analyze relationships, distributions and uncertainty with clarity and confidence
2.Develop Machine Learning Solutions
  • Design, train and evaluate linear and nonlinear models for regression and classification
  • Implement suitable techniques to handle time series forecasting and predictive analytics
  • Use data mining techniques to extract patterns and actionable insights from complex datasets
3.Engineer Deep Learning and Generative AI Systems
  • Build and optimize deep learning architectures for diverse real-world scenarios
  • Recruit and adapt pre-trained Generative AI models for text summarization, classification and automation
  • Develop prompt-driven workflows and retrieval techniques for realistic applications
  • Build, orchestrate and deploy AI agents for goal-directed tasks
4.Code, Deploy and Operationalize AI
  • Implement end-to-end AI pipelines using Python and ML frameworks
  • Deploy and manage models for reproducibility and performance
5.Communicate Insights with Confidence
  • Create clear and compelling data visualizations
  • Present findings in language stakeholders can comprehend

Program Overview

The demand for AI talent continues to grow — but most professionals struggle to go beyond basic model training. Employers want people who can think critically, solve problems effectively, and deliver working solutions that provide measurable value. This 336-hour, nine-month Professional Certificate in AI is designed to accelerate your career growth. You’ll gain a powerful blend of theoretical depth and engineering skills, enabling you to build AI solutions that scale in real business environments. As your skills strengthen, you advance into applied Generative AI and Agentic AI, where you move beyond prediction to reasoning and goal-oriented action. With continuous guidance and hands-on mentorship, you’ll develop the confidence to take on responsibilities, step into AI-driven roles, and create meaningful change in your career. This is your path to becoming a capable AI practitioner — one who builds solutions that last.
What you will learn
Across nine months of immersive learning, you will build strong expertise in:
Foundations of Data and AI
  • Python for data analysis and AI development
  • Statistical reasoning and experimentation
  • Data preprocessing, feature engineering, visualization
Machine Learning Fundamentals
  • Supervised and unsupervised learning
  • Model evaluation and optimization
  • Real-world ML workflows
Deep Learning
  • Neural networks and architectures
  • Training deep learning models
  • Applications in vision and NLP
Generative AI
  • Large language models
  • Prompt engineering
  • Responsible AI practices
Agentic AI Systems
  • Autonomous AI agents
  • Reasoning and planning
  • Tool-augmented AI workflows
AI Engineering
  • Model deployment
  • Scalability and performance
  • Monitoring and maintenance
Capstone Project
  • End-to-end AI solution design
  • Business problem framing
  • Production-ready delivery

Proof of Mastery

When you graduate, you won’t just know AI; you will have proof of your capabilities through a portfolio that demonstrates how you apply theory, engineering and problem understanding to deliver AI solutions that will work in the real world:
5+ guided projects applying ML, Deep Learning and Generative AI
Industry-aligned capstone project including Agentic AI solutions demonstrating reasoning and tool-use capabilities
Professional GitHub repository with clear code and documentation
Impactful presentation that shows clarity, value and decision influence

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.
Personalized Career Mentorship
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.
Personal Branding and Professional Portfolio
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.
Access to Our Hiring Network
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.
Interview Accelerator
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.
Long-term Support

Faculty Profile

Srinivasa Varadharajan
PhD (Physics), 2002,
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
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
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 help you develop lasting mastery from the ground up. You begin with foundational principles in statistics and machine learning, advance through deep learning and applied Generative AI, and finish with Agentic AI engineering and deployment practices. Every module includes guided labs and hands-on project work to ensure your learning consistently translates into real skills you can demonstrate.
Python for Data Scientists
Statistics, Probability and Statistical Hypothesis
Data Communication
Regression Models
Classification Models
Ensemble Methods
Unsupervised Learning
Neural Networks
Computer Vision
Generative Models
Introduction to NLP
Transformers
Advanced Prompt Engineering
Orchestration, RAG and Agents
Fine-tuning and Customization
Diffusion Models and Multi-modal AI
MLOps, Deployment and Vector Databases
Responsible AI and Ethics
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: 336 hours over 9 months
  • Pacing: 10 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. 1,77,000/-
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. Because this is a serious, career-focused program, we guide each learner through a short consultation to ensure the program is the right fit for your goals.
Enrollment Process
  1. Submit Your Application
    Tell a bit about your background and what you hope to achieve with AI.
  2. Personalized Career Consultation
    Talk to our team to clarify your goals, get your questions answered, and confirm program fit and readiness.
  3. Secure Your Seat
    Once accepted, complete your enrollment and join the next cohort.
What’s Included in Your Enrollment
  • 336 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
Simple Requirements
  • Basic programming knowledge recommended
  • Laptop capable of running AI tools
  • Commitment of 10–15 hours per week for classes and homework
If you are excited about building a career in AI, we are here to help you make it happen.

Take the first step. Book a quick consultation to confirm your fit and get all your questions answered.