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DV-CIS313.AK1
Artificial Intelligence Coding with Python
Intermediate Self-paced · 1 year access
28 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
01 / Lessons & labs
See exactly what you will learn and practice
Lessons
13 Interactive Lessons · 46 topics01 Introduction 3 topics +
- Course Description
- How to use this Course
- Course-Specific Technical Requirements
02 Solving Business Problems Using AI and ML 5 topics · 1 LiveLab +
- Topic A: Identify AI and ML Solutions for Business Problems
- Follow a Machine Learning Workflow
- Topic C: Formulate a Machine Learning Problem
- Topic D: Select Appropriate Tools
- Summary
1 LiveLab in this lesson — see the labs panel →
03 Collecting and Refining the Dataset 5 topics · 6 LiveLab +
- Topic A: Collect the Dataset
- Topic B: Analyze the Dataset to Gain Insights
- Topic C: Use Visualizations to Analyze Data
- Topic D: Prepare Data
- Summary
6 LiveLab in this lesson — see the labs panel →
04 Setting Up and Training a Model 3 topics · 4 LiveLab +
- Topic A: Set Up a Machine Learning Model
- Topic B: Train the Model
- Summary
4 LiveLab in this lesson — see the labs panel →
05 Finalizing a Model 3 topics +
- Topic A: Translate Results into Business Actions
- Topic B: Incorporate a Model into a Long-Term Business Solution
- Summary
06 Building Linear Regression Models 4 topics · 4 LiveLab +
- Topic A: Build Regression Models Using Linear Algebra
- Topic B: Build Regularized Regression Models Using Linear Algebra
- Topic C: Build Iterative Linear Regression Models
- Summary
4 LiveLab in this lesson — see the labs panel →
07 Building Classification Models 5 topics · 5 LiveLab +
- Topic A: Train Binary Classification Models
- Topic B: Train Multi-Class Classification Models
- Topic C: Evaluate Classification Models
- Topic D: Tune Classification Models
- Summary
5 LiveLab in this lesson — see the labs panel →
08 Building Clustering Models 3 topics · 3 LiveLab +
- Topic A: Build k-Means Clustering Models
- Topic B: Build Hierarchical Clustering Models
- Summary
3 LiveLab in this lesson — see the labs panel →
09 Building Decision Trees and Random Forests 3 topics · 2 LiveLab +
- Topic A: Build Decision Tree Models
- Topic B: Build Random Forest Models
- Summary
2 LiveLab in this lesson — see the labs panel →
10 Building Support-Vector Machines 3 topics · 2 LiveLab +
- Topic A: Build SVM Models for Classification
- Topic B: Build SVM Models for Regression
- Summary
2 LiveLab in this lesson — see the labs panel →
11 Building Artificial Neural Networks 4 topics · 1 LiveLab +
- Topic A: Build Multi-Layer Perceptrons (MLP)
- Topic B: Build Convolutional Neural Networks (CNN)
- Topic C: Build Recurrent Neural Networks
- Summary
1 LiveLab in this lesson — see the labs panel →
12 Promoting Data Privacy and Ethical Practices 4 topics +
- Topic A: Protect Data Privacy
- Topic B: Promote Ethical Practices
- Topic C: Establish Data Privacy and Ethics Policies
- Summary
13 Appendix A 1 topics +
- Mapping Certified Artificial Intelligence (AI) P...oner (Exam AIP-110) Objectives to Course Content
Hands-On Labs Our edge
28 LiveLabs- Sandbox
- Examining the Structure of a Machine Learning Dataset
- Loading the Dataset
- Exploring the General Structure of the Dataset
- Analyzing a Dataset Using Statistical Measures
- Module 1 Lab
- Splitting the Training and Testing Datasets and Labels
- Setting Up a Machine Learning Model
- Dealing with Outliers
- Scaling and Normalizing Features
- Module 2 Lab
- Building a Regression Model using Linear Algebra
- Building a Linear Regression Model to Predict Diabetes Progression
- Building a Regularized Linear Regression Model
- Building an Iterative Linear Regression Model
- Creating a Logistic Regression Model to Predict Breast Cancer Recurrence
- Training Binary Classification Models
- Training a Multi-Class Classification Model
- Evaluating a Classification Model
- Tuning a Classification Model
- Building a k-Means Clustering Model
- Building a Clustering Model for Customer Segmentation
- Building a Hierarchical Clustering Model
- Building a Decision Tree Model
- Building a Random Forest Model
- Building an SVM Model for Classification
- Building an SVM Model for Regression
- Building an MLP
Labs run in your browser — nothing to install.
02 / FAQs
Questions before you start
Prepare for Artificial Intelligence Coding with Python
One-time payment. Full access for 1 year. Start with a free trial if you want to look around first.
- 1 year of full access
- 28 LiveLab included
- Certificate of completion
No credit card required