Topics covered in this AI for Business course

Module 1– Introduction

• What Is Intelligence?
• Testing Machine Intelligence
• The General Problem Solver
• Practical Applications of Machine Learning
• Artificial Neural Networks
• The Fall and Rise of the Perceptron
• Big Data Arrives
• Lesson Takeaways

Module 2 – Common AI Applications

• Intelligent Robots
• Natural Language Processing
• The Internet of Things
• Lesson Takeaways

Module 3 – Putting AI to Work on Big Data

• Understanding the Concept of Big Data
• Teaming Up with a Data Scientist
• Machine Learning and Data Mining: What’s the Difference?
• Making the Leap from Data Mining to Machine Learning
• Taking the Right Approach
• Lesson Takeaways

Module 4 – What Is Machine Learning?

• How a Machine Learns
• Working with Data
• Decision Trees
• k-Nearest Neighbor
• k-Means Clustering
• Regression Analysis
• Näive Bayes
• Lesson Takeaways

Module 5 – Applying Machine Learning Algorithms

• Fitting the Model to Your Data
• Choosing Algorithms
• Ensemble Modeling
• Deciding on a Machine Learning Approach
• Lesson Takeaways

Module 6 – What Are Artificial Neural Networks?

• Why the Brain Analogy?
• Just Another Amazing Algorithm
• Getting to Know the Perceptron
• Squeezing Down a Sigmoid Neuron
• Adding Bias
• Lesson Takeaways

Module 7 – Natural Language Processing

• Extracting Meaning from Text and Speech with NLU
• Delivering Sensible Responses with NLG
• Automating Customer Service
• Reviewing the Top NLP Tools and Resources
• Lesson Takeaways

Module 8 – Automating Customer Interactions

• Choosing Natural Language Technologies
• Review the Top Tools for Creating Chatbots and Virtual Agents
• Lesson Takeaways

Module 9 – Improving Data-Based Decision-Making

• Choosing Between Automated and Intuitive Decision-Making
• Gathering Data in Real Time from IoT Devices
• Reviewing Automated Decision-Making Tools
• Lesson Takeaways

Module 10 – Using Machine Learning to Predict Events and Outcomes

• Machine Learning Is Really about Labeling Data
• Looking at What Machine Learning Can Do
• Use Your Power for Good, Not Evil: Machine Learning Ethics
• Review the Top Machine Learning Tools
• Lesson Takeaways

Module 11 – Building Artificial Minds

• Separating Intelligence from Automation
• Adding Layers for Deep Learning
• Considering Applications for Artificial Neural Networks
• Reviewing the Top Deep Learning Tools
• Lesson Takeaways

Assessment

• Once you successfully pass the programme(s), you will be able to download a CMIT Digital Certificate of Completion. This can be accessed via the Progress Reports section located on the top right side of your eLearning platform.
• You may optionally take exams to receive certification. Exam fees are not included in the course price. Click here for exam information.

Accreditation

• You may optionally take exams to receive AI for Business certification.
• Click here for Accreditation Details