Core ML Concepts – Use in AI
Mastering the Fundamentals of Machine Learning for AI Innovation
MODE
Online/ e-LMS
Online/ e-LMS
TYPE
Mentor Based
Mentor Based
LEVEL
Moderate
Moderate
DURATION
10 weeks
10 weeks
Batches
Spring
Summer
Live
Autumn
Winter
Program Aim
To provide a foundational understanding of machine learning, covering essential theories, algorithms, and their applications in AI.
About Program
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.
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
Certificate
Program Assessment
- Assignments: Practical exercises to apply theoretical knowledge in real-world scenarios.
- Quizzes: Regular assessments to ensure understanding of the core concepts.
- Final Project: A capstone project that involves developing a comprehensive ML solution, assessed for its effectiveness and innovation.
Program Deliverables
- Comprehensive video tutorials and interactive live sessions.
- Hands-on projects and real-world case studies to enhance learning.
- Continuous assessment and feedback from experts in the field.
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
