Designed to provide you with a solid foundation in this exciting field. Guided by an experienced instructor in real time, this course blends interactive lectures, discussions, and practical exercises to ensure you gain both theoretical understanding and hands-on experience. Over the course of the training, you’ll explore essential concepts such as data preprocessing, machine learning algorithms, and model evaluation techniques. A highlight of the program is a hands-on activity where you’ll build a simple machine learning model with step-by-step guidance from your tutor. This live format offers the unique advantage of direct interaction with the tutor, allowing you to ask questions, clarify doubts, and receive personalized feedback throughout the session. You’ll also participate in discussions on the ethics and future of machine learning, helping you approach this field with a well-rounded perspective.
What does this Machine Learning Online course cover?
- Hands-On Learning: Build your first machine learning model using real datasets and Python.
- Beginner-Friendly Approach: No prior experience needed — perfect for non-technical professionals or aspiring data enthusiasts.
- Real-World Applications: Learn how ML is used across industries like marketing, finance, healthcare, and tech.
- Job-Ready Skills: Gain practical knowledge you can apply immediately in your work or projects.
- Expert Guidance: Live instruction from experienced ML professionals with time for Q&A.
- Reusable Resources: Keep all training materials, code, datasets, and tools for future reference.
- Certificate of Completion: Showcase your achievement and enhance your resume or LinkedIn profile.
- Ethical Foundations: Understand the ethical considerations and future impact of AI and ML
Course Modules
Module Number
Module Name
Pass % Required
Module1
Fundamentals of Machine Learning
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Module2
Data Preprocessing
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Module3
Machine Learning Algorithms
Pass percentage required:%
Module4
Model Evaluation and Validation
Pass percentage required:%
Module5
Hands-On Activity: Building a Simple Model
Pass percentage required:%
Module6
Ethics and Future of Machine Learning
Pass percentage required:%
Recommended system requirements
- Operating System: Windows 7+ or Mac OSX (10.8+)
- Browser: A modern and up to date web browser
- Video: Up to date video drivers
- Memory: 1 Gb+ RAM
- Additional Software: Flash Player (latest version)
- Download Speed: Broadband (3Mb+)