Machine Learning Specialization

Build your subject-matter expertise

When you enroll in this course, you'll unlock a structured pathway with Latrix Coaching.

• ✓Learn new concepts from industry experts
• ✓Gain a foundational understanding of a subject or tool
• ✓Develop job-relevant skills with hands-on projects
• ✓Earn a shareable career certificate

Complete curriculum

Module-by-module syllabus for Machine Learning Specialization · 50 hours (approximately).

1. Module 1: Core concepts — Machine Learning Specialization

   13 hours (approximately)
   • •Build ML models with NumPy & scikit-learn
   • •Train neural networks with TensorFlow
   • •Apply unsupervised learning and recommender systems

2. Module 2: Guided practice & mini-projects

   13 hours (approximately)
   • •Apply Decision Trees in practical exercises
   • •Apply Neural Networks in practical exercises
   • •Apply Logistic Regression in practical exercises

3. Module 3: Advanced techniques & case studies

   13 hours (approximately)
   • •Live mentor office hours with Latrix Coaching faculty
   • •Quizzes and graded assessments aligned to Machine Learning Specialization
   • •Capstone review and completion certificate eligibility

4. Module 4: Assessment, portfolio & certification prep

   13 hours (approximately)
   • •Orientation, learning goals, and success metrics
   • •Hands-on labs with feedback checkpoints
   • •Peer discussion and office-hour clinics

Skills you'll gain

• ✓Decision Trees
• ✓Neural Networks
• ✓Logistic Regression

Course details

Gain insight into a topic and learn the fundamentals