Graduate Management Studies in Artificial Intellegence and Machine Learning

Machine learning and artificial intelligence are two closely related fields that are revolutionizing the way we interact with technology. Machine learning refers to the process of teaching computers to learn from data, without being explicitly programmed to do so. This involves using algorithms and statistical models to find patterns in data, and then using these patterns to make predictions or decisions. Artificial intelligence, on the other hand, is a broader field that encompasses machine learning as well as other approaches to building intelligent systems.

Level

Graduation

Pre-Requisites

HSC

Duration

3 Years

Platform

Our platform is designed to provide a seamless and interactive learning experience. Here’s what you can expect:
Learning Management System (LMS) :
Interactive Learning Environment
Our LMS offers an intuitive interface where you can access all your course materials, participate in discussions, and track your progress.
Comprehensive Course Materials
Access Video Lectures, Reading Materials, Quizzes, and Assignments all in one place.
24/7 Accessibility
Learn at your own pace, anytime, anywhere. Our platform is available 24/7 to fit your schedule.
Progress Tracking
Monitor your learning progress with detailed analytics and reports. Keep track of your achievements and milestones.
Image

Graduate Management Studies in Artificial Intellegence and Machine Learning

    Syllabus

    • Introduction to AI and ML
    • Python Programming
    • Mathematics for Machine Learning
    • Machine Learning Algorithms

Projects

Learn through real-life industry projects sponsored by top companies across industries
Hands-On Projects: Apply What You Learn
We believe in learning by doing. That’s why each of our programs includes hands-on projects that allow you to apply your knowledge in real-world scenarios. Here’s how our project-based learning works :
Choose Your Topic:
  • Select a Relevant Topic: Each student has the opportunity to choose a project topic that aligns with their interests and career goals. This ensures that the project is meaningful and beneficial to your professional development.
  • Guidance and Support: Don’t worry if you’re unsure about which topic to choose. Our instructors and support team are here to help you select a topic that is both relevant and challenging.
Project Work:
  • Real-World Application: Work on real-world projects that require you to apply the concepts and skills you’ve learned throughout the course. This hands-on experience is invaluable in preparing you for your career.
  • Collaborative Learning: Some projects may involve collaboration with fellow students, fostering teamwork and communication skills.
  • Instructor Feedback: Receive constructive feedback from instructors to improve your work and ensure you are on the right track.
  • Showcase Your Work: Upon completion, you’ll have a comprehensive project that you can showcase in your portfolio to potential employers.
Embark on a journey of practical learning and take your skills to the next level with our project-based approach !!

Learning Outcomes

Achieve targeted learning outcomes with courses designed to build essential skills and knowledge.
Understand the principles and applications of artificial intelligence and machine learning.
Gain proficiency in programming languages such as Python and R.
Learn how to develop, train, and deploy machine learning models.
Understand neural networks, deep learning, and natural language processing (NLP).
Develop data science and big data analytics skills.
Learn about AI ethics, security, and regulations.
Gain expertise in AI-powered decision-making systems.
Understand AI's role in automation, robotics, and Internet of Things (IoT).
Develop skills in cloud computing and AI deployment.
Learn about emerging AI trends and innovations.
Learning Outcomes

Career Opportunities

Gain key expertise for diverse career opportunities across multiple sectors.
AI Engineer
Machine Learning Engineer
Data Scientist
AI Research Scientist
Robotics Engineer
Automation Consultant
Natural Language Processing (NLP) Specialist
AI Ethics Officer
Data Analyst
Business Intelligence Analyst
Learning Outcomes

Industry Application

Develop in-demand skills with courses tailored for industry-specific success.
Technology firms (Google, Microsoft, IBM)
Healthcare (AI-driven diagnostics and treatments)
Automotive (autonomous vehicles)
Finance (AI-powered fraud detection and risk management)
Retail (personalized customer experiences using AI)
Manufacturing (AI-driven automation and robotics)
E-commerce (AI in recommendation engines)
Government agencies (AI policy development)
Entertainment and media (AI-driven content recommendation)
Telecommunications (AI in network optimization)
Learning Outcomes

Admission Process

There are 3 simple steps in the Admission Process which is detailed below:
Step-1
Application and Document Submission
Fill the application form and submit/post it to any ISBM centre. Include attested photocopies of mark sheets, two latest photographs, and work experience certificate(s).
Step-2
Fees Payment
Payment can be made in Cash, cheque/Demand Draft, Credit Card, Online Bank Transfer.
Step-3
Confirmation and Enrollment
After document submission and fee payment, your application will be processed.

Frequently Asked Questions

Eligibility varies by course. Generally, for diploma programs, you need to have completed 10+2 (high school), while postgraduate programs may require a bachelor’s degree.

Visit ISBM’s official website and navigate to the course you’re interested in. There, you’ll find details on the application process.

ISBM provides comprehensive study materials, including textbooks, e-books, and online resources. These materials cover the syllabus and help you prepare for exams.

The programme will be delivered on a new technology platform to create a superior learning experience for participants who want to be on the cutting edge of the management. The topics that are going to be covered in the initial online program are Marketing Management, Business Communication, Accounting & Finance, Decision Sciences, Business Economics, OB, HR Legal, Sales & Distribution, Business Strategy, Supply Chain Management.

Copyright ©ISBM Institute , 2024. All Rights Reserved