Unlock the Power of Machine Learning
Learn how data becomes intelligence. Build predictive models, understand real-world patterns, and create systems that learn, adapt and improve over time.
Data-Centric Learning
Understand data before building models
Strong Data Foundation
Learn how to collect, clean and analyze data that powers Machine Learning models in real-world systems.
Core ML Algorithms
Build intelligence using proven models
Supervised & Unsupervised ML
Master regression, classification, clustering and optimization techniques used across industries.
ML Projects & Career
Apply learning to real industry problems
Job-Oriented ML Training
Work on real Machine Learning projects with guidance, preparing you for ML engineer and data roles.
What You Will Learn
A structured Machine Learning roadmap — focused on data, models and real-world problem solving.
Data Understanding
Working with datasets, features, patterns and data preparation.
Statistics & Math
Core statistics and mathematical concepts used in ML models.
Supervised Learning
Regression, classification and prediction-based ML techniques.
Unsupervised Learning
Clustering, dimensionality reduction and pattern discovery.
Model Evaluation
Accuracy, tuning, validation and performance improvement.
ML Algorithms
Decision trees, SVMs, k-means and popular ML algorithms.
Tools & Libraries
Python, NumPy, Pandas, Scikit-learn and ML workflows.
Industry Projects
Hands-on Machine Learning projects based on real business cases.
Machine Learning Recruiter Trust Heatmap
How recruiters evaluate and trust Machine Learning skills trained through BIS Academy’s industry-focused ML programs.
Who Should Join Machine Learning Course?
Built for learners who want to master data-driven decision making and build careers in Machine Learning.
Students & Fresh Graduates
Engineers & Developers
Data & Analytics Professionals
Career Switchers to ML
35+
Courses
5+
Instructors
100%
Certification
1k+
Learners
Frequently Asked Questions
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The Artificial Intelligence course at BIS Academy covers core AI concepts, data handling, machine learning, deep learning, NLP, computer vision and AI deployment. The course focuses on practical learning with real-world projects, hands-on training and industry-oriented curriculum designed to build job-ready skills.
This AI course is suitable for students, freshers, working professionals and career switchers. No advanced technical background is required to start. Basic computer knowledge and interest in technology are enough, as concepts are taught step by step from fundamentals to advanced levels.
Yes, BIS Academy focuses strongly on practical training. Students work on live projects, case studies and real industry scenarios. Practical exposure is provided to help learners understand how AI is actually used in companies and real business environments.
BIS Academy offers both online and offline learning options for the AI course. Students can choose classroom training or live online sessions based on their convenience, without compromising on quality, support or practical learning.
Yes, along with the AI course, BIS Academy provides training programs, internship opportunities and placement assistance. This includes industrial training, six-month training programs and internship support to help students gain experience and improve their job readiness.