Course Level | Beginner to Advanced |
---|---|
Course Duration | 4 Months | 8 Months |
Training Days | Monday to Friday |
Training Time | 4 hours / Day | Regular Office Time |
Course Mode | IN-class (Offline) at our premises |
Course Type | JOB oriented training |
Course Start On | On Registration | Admission |
Class Size | 1 to 1 | NO GROUPS | NO BATCH |
AI-Powered Innovation
AI / ML Training Program
Master Artificial Intelligence and Machine Learning through immersive hands-on projects, real-world datasets, and expert-led sessions designed to build practical skills and deep understanding of cutting-edge technologies. Explore topics like deep learning, natural language processing, and computer vision, while working on industry-relevant challenges.

OUR SERVICES
For your career in tech, we offer expertly-designed AI & ML training programs.


Course Benefits
Job-Ready Focus: Designed as your final training before entering the industry — our goal is to get you hired with confidence in your AI/ML skills.
- Skill-Aligned Learning: Choose or be guided toward the AI/ML specialization that suits your strengths and interests.
- Real-World Validation: Work on industry-grade projects and receive an experience letter upon placement to validate your practical skills.
- Maximize Earning Potential: Our placement model is built to help you land high-paying fresher roles in AI and data science.
- Unlimited Learning Scope: No rigid syllabus — explore deep learning, NLP, computer vision, and more at your own pace.
Our Company
Empowering AI Careers for Over a Decade
Our course offers a structured, mentor-led experience with real-time doubt resolution, industry projects, and a personalized learning path — something self-paced tutorials can’t provide.
Yes! We start from the basics of Python and gradually progress into core ML and AI concepts, making it beginner-friendly but outcome-driven.
Absolutely. Our advanced modules include topics like Neural Networks, Natural Language Processing, and Computer Vision. These topics are taught with a hands-on approach, where you’ll build models for different tasks.
You’ll work on end-to-end projects that cover data preprocessing, model development, evaluation, and deployment using real datasets to simulate actual industry scenarios in AI and machine learning.