Build production-grade AI systems with machine learning, deep learning, and neural networks. 20 weeks. 6 deployable projects. Mentored by engineers who shipped AI at top tech companies.
Artificial Intelligence is the defining skill of the next decade. This 20-week programme takes you from foundational mathematics through to deploying real AI models in production environments. You will learn machine learning algorithms, build deep neural networks, and work with computer vision and NLP β the same technologies powering products at Google, Microsoft, and Amazon.
Every module is project-driven. By the end of this course, you will have 6 production-quality projects in your portfolio that demonstrate genuine AI engineering skills to any recruiter.
Linear regression to ensemble methods β decision trees, random forests, gradient boosting, and SVMs applied to real datasets.
Build CNNs, RNNs, Transformers, and GANs using TensorFlow 2 and PyTorch. Train on GPU environments.
Object detection, image classification, face recognition using YOLO, OpenCV, and transfer learning with pre-trained models.
Text classification, sentiment analysis, named entity recognition, and fine-tuning BERT and GPT-based language models.
Package models with Docker, deploy to AWS SageMaker and FastAPI endpoints, and monitor with MLflow tracking.
Q-learning, policy gradients, and PPO β train intelligent agents in simulated environments using OpenAI Gym.
Entry-level AI Engineer: βΉ8β12 LPA
Mid-level: βΉ14β22 LPA
Senior AI Researcher: βΉ25β45 LPA
ML Engineer β AI Engineer β AI Tech Lead β Head of AI / Principal Researcher
Machine Learning Engineer, AI Research Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer, MLOps Engineer
AI is a 10-year boom. India's AI talent gap is 1.5 million professionals. Every major company is actively building AI teams.
TCS, Infosys, Wipro, Google India, Microsoft, Amazon AI, IBM Watson, Accenture AI Studio, Mu Sigma, Fractal Analytics, Persistent Systems, Tiger Analytics, and 500+ more hiring partners.
B.Tech / B.Sc. / BCA graduates looking to enter AI without prior experience.
Developers who want to pivot to AI engineering and double their salary.
Analysts who want to go beyond dashboards and build predictive models.
Weekend live sessions (SatβSun) + daily self-paced modules. Total 140+ hours of learning.
Every live class recorded. Access recordings forever. Learn at your own pace between sessions.
Every concept is immediately applied in a project. No theory-only weeks β coding starts from Day 1.
20 weeks Β· 140+ hours Β· Live weekend sessions + weekday self-study
End-to-end ML pipeline predicting bank customer churn with 94% accuracy. Deployed as a REST API on AWS.
CNN-based facial recognition system using OpenCV and deep learning β works on live video streams.
BERT-powered NLP model classifying Amazon reviews with multi-class sentiment. Deployed with FastAPI.
Transfer learning model detecting pneumonia in chest X-rays with 97% sensitivity on test data.
LSTM time-series model predicting 30-day stock prices with live data feeds and a Streamlit dashboard.
Collaborative filtering + content-based hybrid recommender system for e-commerce, deployed end-to-end.
Upon completion, receive the Kamdhenu Skills Certified AI Engineer credential. Our certificates are recognised by 500+ hiring partners across India. The programme also prepares you for Google Professional ML Engineer and AWS Certified Machine Learning Specialty exams.
ATS-optimised resume crafting and LinkedIn profile review by our career counsellors.
3 rounds of mock interviews with ex-Google and ex-Microsoft engineers covering ML system design and coding.
Direct referrals to 500+ hiring partners through our exclusive placement cell. Never apply cold again.
We continue placement support until you receive a job offer. No time limits, no fine print.
No prior AI experience is needed. We provide a Python primer and mathematics refresher before the course begins. All you need is basic Python comfort and the willingness to work hard.
No. We provide cloud GPU environments via Google Colab Pro and AWS Educate accounts. You only need a standard laptop with internet access.
After completing the course and all projects, you enter our placement programme. We make direct referrals to companies, arrange interviews, and provide support until you receive and accept an offer. There is no time limit on this support.
Yes. All live sessions are recorded and available on demand. Weekend live sessions are recommended for maximum engagement, but all content is accessible 24/7.
We offer zero-cost EMI up to 12 months through our finance partners. No hidden fees, no interest charges. Apply during registration and get instant approval.
"The curriculum is world-class. I went from knowing basic Python to building and deploying a production ML model in 20 weeks. Got placed at Fractal Analytics with βΉ14 LPA."
ML Engineer β’ Fractal Analytics
"I was a mechanical engineer who switched to AI. Kamdhenu Skills made the transition smooth. The mentors are genuinely senior engineers, not just instructors reading slides."
AI Engineer β’ Accenture AI