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Autonomous AI
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Module 1: Explore Automated Intelligence
1.1 Introduction
1.2 Discover Automated decision methods
1.3 Math - Making the predictable decisions with control theory
1.4 Menus - Searching for the right decision with optimization algorithms
1.5 Manuals - Expert Rules
1.6 Evaluate the use of Automated decision methods
1.7 Summary
Module 2: Explore Autonomous Intelligence
2.1 Introduction
2.2 Discover Autonomous Intelligence technologies
2.3 Evaluate the use of Autonomous Intelligence technologies
2.4 Summary
Module 3: Introduction to Machine Teaching
3.1 Introduction
3.2 What is Machine Teaching
3.3 How Machine Teaching works
3.4 Design a brain for Soap Extruder scenario
3.5 When to use Machine Teaching
3.6 Summary
Module 4: Explore Brain Design Patterns
4.1 Introduction
4.2 Perception Pattern
4.3 Functional Pattern
4.4 Strategy Pattern
4.5 When to choose a specific pattern
4.6 Summary
Module 5: Explore the Art of Selecting Use Cases for Winning Autonomous AI
5.1 Introduction
5.2 How to select use cases
5.3 When to use an Autonomous AI solution
5.4 Summary
Module 6: Explore AI Specification Document
6.1 Introduction
6.2 Design the AI Specification document - (Part 1)
6.3 Design the AI Specification document (Part 2)
6.4 Summary
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ANAB
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MS ELearning
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Other Category - LAN
Eduman
MS Elearning - Russel
V3 - Russel
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Russian Course
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Autonomous AI
