Program

Core ML Concepts – Use in AI

Mastering the Fundamentals of Machine Learning for AI Innovation

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MODE
Online/ e-LMS
TYPE
Mentor Based
LEVEL
Moderate
DURATION
10 weeks

About

This course delves into the basic and advanced principles of machine learning, exploring various types of learning, key algorithms, and their real-world applications across industries. It prepares participants to effectively implement and optimize ML models.

Aim

To provide a foundational understanding of machine learning, covering essential theories, algorithms, and their applications in AI.

Program Objectives

  • Understand and apply various machine learning algorithms and models.
  • Develop proficiency in data manipulation and ML model implementation.
  • Address real-world problems using advanced ML techniques and ethical AI practices.

Program Structure

  • Foundations of Machine Learning: Introduction to ML, types of machine learning, and key concepts.
  • Data and Algorithms: Techniques for data handling, feature engineering, and fundamental ML algorithms.
  • Advanced ML Techniques: Exploration of neural networks, NLP, and computer vision within the AI context.
  • Implementation and Real-world Applications: Practical application of ML in various industries and the challenges involved.
  • Scaling and Optimization of ML Models: Techniques for model evaluation, optimization, deployment, and monitoring.

Participant’s Eligibility

  • Beginners in AI and machine learning.
  • Professionals and students in fields such as data science, computer science, and engineering who wish to enhance their AI skills.

Program Outcomes

  • Strong foundational knowledge in machine learning.
  • Ability to design, implement, and manage ML models effectively.
  • Preparedness for advanced studies and careers in AI and machine learning.


Fee Structure

Standard Fee:           INR 49,998           USD 1,300

Discounted Fee:       INR 24999             USD 650

Batches

Spring
Summer

Autumn
Winter

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

Placement Assistance

  • Career Opportunities: Guidance on career paths in ML and AI, with insights from industry leaders.
  • Industry Engagement: Opportunities to engage with companies at the forefront of ML and AI technology.

Future Career Prospects

  • Machine Learning Engineer
  • Data Scientist
  • AI Research Specialist

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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