Course Overview
Build practical Machine Learning expertise
By taking Machine learning (ML) training from Tekslate, you’ll become an expert in working with Artificial neural networks. This course enables you to gain in-depth knowledge of ML concepts and techniques. It will help you to develop skills on supervised and unsupervised learning and provides hands-on experience in modeling to develop algorithms and mathematical and heuristic aspects. Our curriculum is designed by industry experts based on real-time scenarios. You will get hands-on experience in ML by working on various real-time applications.
Career outcomes
See the destination before the syllabus.
The following are the prerequisites for learning Machine Learning course:
Understanding of data science
Apply practical Machine Learning skills across real-world projects, teams, and business scenarios.
Passion for new technologies
Apply practical Machine Learning skills across real-world projects, teams, and business scenarios.
Professionals in analytics
Apply practical Machine Learning skills across real-world projects, teams, and business scenarios.
Data scientists
Apply practical Machine Learning skills across real-world projects, teams, and business scenarios.
E-commerce site developers
Build, customize, test, and maintain Machine Learning solutions for real business requirements.
Included
Everything included
Live expert training, hands-on practice, and ongoing support—all included with your course.
25 hours live
Learn live with an expert instructor and revisit the session recordings later.
Hands-on projects
20 hours of guided practical work to turn concepts into job-ready skills.
Machine Learning Certification
Follow a focused learning path aligned with the skills assessed in certification exams.
Flexible learning
Use supporting learning material and recordings around your weekday or weekend schedule.
Mentor support
Get your questions answered and receive individual guidance throughout the course.
Lifetime upgrades
Keep access to refreshed course material as the tools and curriculum evolve.
Six states, one workflow to job-ready
Your path through the program moves through six clear stages — each one building toward practical, job-ready skills.