Course Overview
- Course Title: Machine Learning & Artificial Intelligence Beginners Course
- Instructor: Linus D'Souza
- Target Audience:
- Absolute beginners in AI and machine learning
- Professionals seeking foundational AI/ML knowledge
- Students exploring data science, automation, or intelligent systems
- Prerequisites:
- No prior experience required
- Willingness to learn new technical concepts
Curriculum Highlights
- Key Topics Covered:
- Core AI & ML definitions (history, applications, and real-world use cases)
- Types of machine learning:
- Supervised learning
- Unsupervised learning
- Reinforcement learning
- AI subfields:
- Natural Language Processing (NLP)
- Computer vision
- Robotics
- Ethical AI:
- Bias, fairness, and transparency in AI systems
- Societal impact of AI and responsibilities of AI practitioners
- Key Skills Learned:
- Understanding AI/ML fundamentals without complex math
- Identifying real-world AI applications across industries (healthcare, finance, entertainment)
- Recognizing ethical challenges in AI development
- Basic Python coding for ML (practical examples included)
Course Format
- Duration:
- 1 hour of on-demand video
- Self-paced learning
- Format:
- Pre-recorded video lectures
- Mobile and TV access
- Resources:
- Certificate of completion
- Hands-on projects with real data (beginner-friendly)
- Practical coding exercises (Python-based)
Special Offer (If Applicable)
- Limited Time Coupon Code: N/A