AI foundations
AI Fundamentals and Applications
Explore AI fundamentals, machine learning, deep learning and real-world applications without a technical background.
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Course topics
AI foundations
- AI fundamentals
- Machine learning
- Responsible AI
You check the understanding
Find your fit
Is this a useful starting point?
For curious learners without a technical background who want an overview of AI.
- Starting point
- Beginner
- Course length
- 3 total hours
- Lessons
- 10 lectures
Course by Ritesh Vajariya
Course last updated: 03/2024
Requirements
- No Technical Background Required.
- Come with open mind and curiosity
What is included
- 3 hours on-demand video
- 1 downloadable resource
- Access on mobile
- Certificate of completion
DoJo membership: A$250 per month per seat, excluding GST. Includes fortnightly group support and a private member community.
Explore the lessons
Course curriculum.
9 sections • 10 lectures • 2h 55m total length
Getting Started1 lecture • 4min
- Introduction04:05
AI Basics and Core Concepts1 lecture • 16min
- AI Basic, Industrial Usage, Why Now?16:17
- Quiz about AI Basics 5 questions
Data and Machine Learning2 lectures • 59min
- Data: AI, ML and DL33:52
- Algorithms, Build, Train, Evaluate and Deploy Models24:59
- Data Lifecycle and Machine Learning 10 questions
- Machine Learning Lifecycle 10 questions
Deep Learning1 lecture • 23min
- Deep Learning23:20
- Deep Learning Quiz 10 questions
Real World AI Application1 lecture • 8min
- Real world AI applications with Machine Learning and Deep Learning07:48
- Real world applications quiz 5 questions
Generative AI1 lecture • 30min
- Introductions to Generative AI29:32
- Generative AI Quiz 9 questions
Generative AI Tools1 lecture • 20min
- Tools used for Generative AI19:55
- Quiz around Generative AI Tools 3 questions
Responsible AI1 lecture • 12min
- Responsible AI and Regulations12:08
- Responsible AI Quiz 6 questions
Conclusion1 lecture • 3min
- New Beginning03:05
From learning to practice
Try this next.
Compare a machine-learning example with a generative-AI example and explain their differences.
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