Self Paced

Advanced Machine Learning Specialization

Mastering the Frontiers of Advanced Machine Learning

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Enroll now for early access of e-LMS

MODE
Online/ e-LMS
TYPE
Self Paced
LEVEL
Advanced
DURATION
8 Weeks

About

This self-paced specialization covers a wide range of advanced machine learning topics, from neural networks to reinforcement learning. Participants will gain expertise in state-of-the-art techniques, practical implementations, and advanced research, equipping them for top-tier roles in AI and machine learning.

Aim

To provide PhD scholars and academicians with comprehensive knowledge and practical skills in advanced machine learning techniques, including deep learning and reinforcement learning, preparing them for high-level machine learning engineering roles.

Program Objectives

  1. Master advanced machine learning techniques.
  2. Develop and optimize deep learning models.
  3. Implement reinforcement learning algorithms.
  4. Conduct high-level AI research.
  5. Apply machine learning to real-world problems.

Program Structure

  • Introduction to Advanced Machine Learning
  • Neural Networks and Deep Learning
  • Reinforcement Learning
  • Probabilistic Graphical Models
  • Unsupervised Learning Techniques
  • Natural Language Processing with Deep Learning
  • Advanced Topics in Machine Learning
  • Practical Implementations and Case Studies

Participant’s Eligibility

AI researchers, data scientists, machine learning engineers, computer scientists, and academic professionals.

Program Outcomes

  • Develop advanced machine learning models.
  • Implement and optimize deep learning algorithms.
  • Apply reinforcement learning to complex tasks.
  • Conduct innovative AI research.
  • Lead advanced AI projects and applications.


Fee Structure

Standard Fee:           INR 14,998           USD 258

Discounted Fee:       INR 7499             USD 129

Batches

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Summer

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Certificate

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam Weightage
Mid Term Assignments 20 %
Final Online Exam 30 %
Project Report Submission (Includes Mandatory Paper Publication) 50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Future Career Prospects

  • Machine Learning Engineer
  • AI Research Scientist
  • Data Scientist
  • AI Software Developer
  • Computational Linguist
  • Robotics Engineer

Job Opportunities

  • Technology companies
  • Research institutions
  • Universities
  • Financial services
  • Healthcare organizations
  • Autonomous systems companies

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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