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Exploring Fundamental AI Structures and Concepts
Curriculum
5 Sections
27 Lessons
10 Weeks
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Chapter 4: Collecting, Organizing, and Transforming Data
5
1.1
Defining Data in the Context of AI
10 mins
1.2
Choosing Data Collection Methods for Marketing with AI
10 mins
1.3
Putting Your Marketing Data in Its Place
10 mins
1.4
Understanding Data via Manual and Automated Systems
10 mins
1.5
Preparing the Data for Use by AI Algorithms and Models
10 mins
Chapter 5: Making Connections: Machine Learning and Neural Networks
7
2.1
Examining the Process of Machine Learning
10 mins
2.2
Understanding Neural Networks
10 mins
2.3
Supervised and Unsupervised Learning
10 mins
2.4
Exploring Reinforcement Learning
10 mins
2.5
Mastering Sequences and Time Series
10 mins
2.6
Developing Vision and Image Processing in AI
10 mins
2.7
Tools for Machine Learning and Neural Networks
10 mins
Chapter 6: Adding Natural Language Processing and Sentiment Analysis
6
3.1
Demystifying the Backbone of NLP
10 mins
3.2
Elevating NLP with Machine Learning
10 mins
3.3
Examining Transformers and Attention Mechanisms
10 mins
3.4
Unpacking Sentiment Analysis
10 mins
3.5
Challenges for NLP and Sentiment Analysis
10 mins
3.6
Engaging Best Practices for Using NLP and Sentiment Analysis
10 mins
Chapter 7: Collaborating via Predictions, Procedures, Systems, and Filtering
4
4.1
Understanding Predictive Analytics
10 mins
4.2
Putting AI Procedures into Practice
10 mins
4.3
The AI System Development Lifecycle
10 mins
4.4
Understanding Filtering in AI
10 mins
Chapter 8: Getting Comfortable with Generative AI
5
5.1
Changing the Game with Generative AI
10 mins
5.2
Getting to Know GPT Models
10 mins
5.3
Creating New Text, Images, and Video
10 mins
5.4
Introducing Major Consumer-Facing Generative AI Models
10 mins
5.5
Addressing the Challenges of Using Generative AI Models
10 mins
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