Course Overview
This beginner-friendly course covers the fundamentals of Artificial Intelligence (AI), Machine Learning, Deep Learning, and Natural Language Processing (NLP). It offers a modern, engaging learning approach with visually rich video lessons, study guides, and memory maps to help learners build practical AI skills and understand real-world applications. The course also explores AI career pathways and provides a clear roadmap for continuing education and job opportunities in the AI field.
Key Takeaways
- Understand core concepts of AI, Machine Learning, Deep Learning, and NLP.
- Gain hands-on experience with industry-standard AI tools.
- Apply AI concepts to solve real-world business problems.
- Create and present an end-to-end AI capstone project.
- Explore AI career pathways, required skills, and job search strategies.
Prerequisites
- No prior AI or programming experience required; designed for beginners.
- Basic computer and internet usage knowledge is helpful but not mandatory.
- Access to a computer with internet connection for labs and exercises.
Target Learners
- Beginners interested in learning Artificial Intelligence from scratch.
- Students and fresh graduates exploring AI, Machine Learning, and Data Science careers.
- IT professionals aiming to transition into AI-related roles.
- Software developers wanting to add AI and Machine Learning skills.
Final Project
The course includes a capstone project where learners integrate AI skills learned throughout the course and present their projects for peer feedback.
Course Guidelines
0:57
Course Introduction
0:52
1.1 What is Artificial Intelligence
3:12
1.2 Overview of AI Applications
3:48
1.3 Ethical Considerations in AI
3:54
1.4 How AI Affects Our Daily Lives
4:17
2.1 Introduction to Machine Learning
4:15
2.2 Key Algorithms
4:30
2.3 Evaluation Metrics
3:26
3.1 Introduction to Neural Networks
4:37
3.2 Deep Learning Basics
4:43
3.3 Tools and Frameworks
4:31
3.4 Real-world applications of deep learning
5:04
4.1 Introduction to Natural Language Processing
4:44
4.2 Key Techniques in NLP
4:30
4.3 NLP Tools and Libraries
4:29
4.4 Ethical implications of NLP technology
4:27
5.1 Case Studies of AI in Action
4:08
5.2 Introduction to AI pipelines
4:41
5.3 Challenges in Implementation
4:56
5.4 AI solution to a real-world problem
4:28
6.1 Overview of Career Opportunities in AI
4:45
6.2 Skills Required for Different Roles
4:40
6.3 How to Build an AI Portfolio
4:20
6.4 Networking and Job Search Strategies
4:41
6.5 Personal development plan
4:01
7.1 Integrate AI Skills Learned
4:02
7.1 Presentations of capstone projects to peers for feedback
3:58
Module 1 Introduction to Artificial Intelligence
6:21
Module 2 Fundamentals of Machine Learning
7:08
Module 3 Neural Networks and Deep Learning
7:11
Module 4 Natural Language Processing (NLP)
6:55
Module 5 AI in Practice Real-World Applications
6:36
Module 6 Career Pathways in AI
6:52
Access Files
No pi required.
Free
Course files
1 file package
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Full Pack
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