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Book 1: Understanding AI Foundations
Curriculum
7 Sections
34 Lessons
10 Weeks
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Chapter 1: Delving into What AI Means
5
1.1
Defining the Term AI
10 mins
1.2
Understanding the History of AI
10 mins
1.3
Considering AI Uses
10 mins
1.4
Avoiding AI Hype and Overestimation
10 mins
1.5
Connecting AI to the Underlying Computer
10 mins
Chapter 2: Defining Data’s Role in AI
6
2.1
Finding Data Ubiquitous in This Age
10 mins
2.2
Using Data Successfully
10 mins
2.3
Manicuring the Data
10 mins
2.4
Considering the Five Mistruths in Data
10 mins
2.5
Defining the Limits of Data Acquisition
10 mins
2.6
Considering Data Security Issues
10 mins
Chapter 3: Considering the Use of Algorithms
2
3.1
Understanding the Role of Algorithms
10 mins
3.2
Discovering the Learning Machine
10 mins
Chapter 4: Pioneering Specialized Hardware
8
4.1
Relying on Standard Hardware
10 mins
4.2
Using GPUs
10 mins
4.3
Working with Deep Learning Processors (DLPs)
10 mins
4.4
Creating a Specialized Processing Environment
10 mins
4.5
Increasing Hardware Capabilities
10 mins
4.6
Adding Specialized Sensors
10 mins
4.7
Integrating AI with Advanced Sensor Technology
10 mins
4.8
Devising Methods to Interact with the Environment
10 mins
Chapter 5: Parsing Machine Learning and Deep Learning
5
5.1
Decoding Machine and Deep Learning
10 mins
5.2
Demystifying Natural-Language Processing
10 mins
5.3
Understanding Transformers
10 mins
5.4
Illuminating Generative AI Models
10 mins
5.5
Recognizing AI’s Limitations
10 mins
Chapter 6: Upholding Responsible AI Standards in GenAI Use
3
6.1
Achieving Originality and Excellence in GenAI-Generated Content
10 mins
6.2
Applying Journalism Ethics to GenAI-Generated Content
10 mins
6.3
Joining the Responsible AI Movement
10 mins
Chapter 7: Finding Job Security in an AI World
5
7.1
Identifying Tasks That AI Can’t Replace
10 mins
7.2
Upskilling for AI-Proof Jobs
10 mins
7.3
Translating Your Current Skills into AI-Proof Roles
10 mins
7.4
Navigating Career Transitions
10 mins
7.5
Becoming an Early Adopter
10 mins
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