Online/ e-LMS
Mentor Based
Moderate
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 39,998 USD 1,180
Discounted Fee: INR 19999 USD 590
We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!
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Live
Certificate
Program Assessment
Certification to this program will be based on the evaluation of following assignment (s)/ examinations:
| Exam | Weightage |
|---|---|
| Mid Term Assignments | 50 % |
| 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
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Recent Feedbacks In Other Workshops
The course was well communicated and interactive
lecture delivered well but the title of workshop was a little misleading
