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5+ Hours of Video Training
Marketers worry that Artificial Intelligence is going to take their jobs, but AI will take your job only if you refuse to use AI.
Overview
Artificial intelligence is the flavor of the week--all the cool kids are doing it. And the field of marketing is no exception. Every component of the Marketing Technology stack--the MarTech stack--is being overrun by AI. Marketers don't need to be experts in technology, or statistics, or data science to use AI. They need to be experts in marketing who are willing to work with AI techniques to do their jobs.
AI in Marketing LiveLessons will help you, the marketer, to take advantage of AI techniques on the job. You will learn what AI can do for you, how to recognize when it will work, what the process is to implement it, and who you need to work with to succeed. Don't miss your chance to up-level your skills to take advantage of the most important marketing technology to come along since the Internet.
Skill Level
Introduction
Lesson 1: Introduction to Artificial Intelligence
Learning objectives
1.1 What is Artificial Intelligence?
1.2 What is Big Data?
1.3 What is data science?
Lesson 1 Exercise: Project Progress
Lesson 2: How AI Works
Learning objectives
2.1 How is AI different from traditional software?
2.2 What is Machine Learning?
2.3 What are some examples of marketing AI in action?
Lesson 2 Exercise: Project Progress
Lesson 3: Opportunities for AI
Learning objectives
3.1 How do I know when my problem can be solved with AI?
3.2 How can I introduce AI into my organization?
3.3 How do I develop an AI strategy?
Lesson 3 Exercise: Project Progress
Lesson 4: The AI Development Process
Learning objectives
4.1 How does feature analysis work?
4.2 What's agile development?
4.3 How do you design a real AI system?
Lesson 4 Exercise: Project Progress
Lesson 5: Working with Data
Learning objectives
5.1 How does the data process work?
5.2 How does Machine Learning use data?
5.3 How do we measure our progress?
Lesson 5 Exercise: Project Progress
Lesson 6: People and AI
Learning objectives
6.1 How do we correct errors?
6.2 Which situations raise ethical concerns?
6.3 Can we put humans in the loop?
Lesson 6 Exercise: Project Progress
Lesson 7: What's Next?
Learning objectives
7.1 What's coming next in AI?
7.2 What's next for you and AI?
Summary