Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
7 Hour(s) 9 Minute(s)
Language
English
Taught by
Programming Hub: 40 million+ global students, Laxminarayan Narayan G
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
1 views
Course Overview
Learn AI, Machine Learning & Deep Learning from Scratch with Real Projects, NLP, and Industry-Focused Applications
AI & ML Made Easy: From Basic to Advanced (2025) is a beginner-friendly yet comprehensive course designed to take you from the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML) to advanced concepts like Deep Learning, Natural Language Processing (NLP), and real-world applications.
You'll explore how machines learn using supervised, unsupervised, and reinforcement learning techniques. Through real-world case studies and guided projects, you’ll understand how AI is transforming industries and how to apply ML models to solve meaningful problems.
This course doesn't just teach you theory. It walks you through the full AI & ML process—from understanding data and preprocessing it, to choosing algorithms, tuning models, and interpreting results. You’ll also explore the role of statistics, ethical considerations, and how AI is implemented in business environments.
What This Course Offers:
Step-by-step explanations of AI and ML concepts for learners at all levels
Hands-on projects covering Deep Learning, NLP, and real-world AI use cases
Practical understanding of model building, data preprocessing, and evaluation techniques
Exposure to how AI is applied in business, healthcare, finance, and other sectors
Discussions around AI bias, ethics, and responsible implementation
Guidance on tools, libraries, and languages used in AI/ML development
Industry insights to help you explore career paths in AI and Machine Learning
Whether you're a student, developer, researcher, or just curious about AI, this course will equip you with the practical knowledge and confidence to understand and build intelligent systems from the ground up.
Course Content
- 10 section(s)
- 46 lecture(s)
- Section 1 Unfolding the AI Universe
- Section 2 Understanding and Applying Machine Learning
- Section 3 Machine Learning Mastery: From Basics to Advanced Concepts
- Section 4 Deep Dive into Supervised, Unsupervised, and Reinforcement Learning
- Section 5 Practice Test
- Section 6 Navigating the Business and Economic Aspects of AI and Machine Learning
- Section 7 Navigating the AI Landscape: From Concepts to Practical Implementation
- Section 8 Deep Learning, Natural Language Processing, and Computer Vision
- Section 9 Stages, Types, and Ethical Considerations
- Section 10 Practice test
What You’ll Learn
- Understand the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML)
- Learn how machines learn using Supervised, Unsupervised, and Reinforcement Learning methods
- Grasp the role of statistics, data preprocessing, and feature selection in building accurate models
- Build a solid foundation in machine learning algorithms, including regression, classification, and clustering
- Explore advanced topics like Deep Learning, Natural Language Processing (NLP), and Computer Vision
- Identify and address bias and ensure ethical AI implementation
- Gain hands-on experience through real-world AI & ML projects across business and industry use cases
- Understand how AI is applied in different sectors, from automation to decision-making systems
- Develop familiarity with industry tools, libraries, and languages used in AI & ML
- Prepare for real-world roles by understanding AI economics, business value, and practical implementation
Skills covered in this course
Reviews
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AAkshat Singh
Great course for basics
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CChandra Bolla
good
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AAkhila Mohan Sahoo
thanks for providing this wonderful course .
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HHyunmin Park
Good speaker, easy to understand.
