₹89,999
Programme fee for approximately 40 hours of mentor-backed curriculum, assessments, and certification — not a self-serve video pack.
What's included
- • Mentor-led pathway with approximately 40 hours of structured learning
- • Project feedback and career-oriented skill practice
- • 5 quizzes and 10 graded assessments
- • Shareable completion certificate from Latrix Coaching
Skill levelAdvanced
LanguageEnglish
Quizzes5
Assessments10
CertificateYes
Duration40 hours (approximately)
Email latrixcoaching@gmail.com
For Individuals
Advanced Learning Algorithms
Advance your career with online learning.
bestsellerEnglishCertified
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
What you'll learn
- Design and analyze advanced algorithms for real-world problems
- Apply dynamic programming and graph algorithms
- Optimize code performance using algorithmic strategies
Complete curriculum
Module-by-module syllabus for Advanced Learning Algorithms · 40 hours (approximately).
Module 1: Core concepts — Advanced Learning Algorithms
10 hours (approximately)- Design and analyze advanced algorithms for real-world problems
- Apply dynamic programming and graph algorithms
- Optimize code performance using algorithmic strategies
Module 2: Guided practice & mini-projects
10 hours (approximately)- Apply Dynamic Programming in practical exercises
- Apply Graph Theory in practical exercises
- Apply Complexity Analysis in practical exercises
Module 3: Advanced techniques & case studies
10 hours (approximately)- Live mentor office hours with Latrix Coaching faculty
- Quizzes and graded assessments aligned to Advanced Learning Algorithms
- Capstone review and completion certificate eligibility
Module 4: Assessment, portfolio & certification prep
10 hours (approximately)- Orientation, learning goals, and success metrics
- Hands-on labs with feedback checkpoints
- Peer discussion and office-hour clinics
Skills you'll gain
- Dynamic Programming
- Graph Theory
- Complexity Analysis
Course details
Gain insight into a topic and learn the fundamentals
Intermediate level
Prior programming experience required
Flexible schedule
Learn at your own pace
Course duration
40 hours (approximately)
Flexible schedule
Learn at your own pace