When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Foundations of Predictive AI
Effective predictive AI solutions can accelerate workflows dramatically. This course helps teams enhance their ability to develop and deploy effective predictive AI solutions, leading to better...
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$2,495 USD
Duration
3 days
Course Code
DS-2204
Available Formats
Classroom
Overview
Course Description
Effective predictive AI solutions can accelerate workflows dramatically. This course helps teams enhance their ability to develop and deploy effective predictive AI solutions, leading to better outcomes and competitive advantage. This predictive AI training course introduces foundational concepts and techniques and teaches learners about supervised and unsupervised learning, model evaluation, and neural networks. Through hands-on labs, they gain practical experience in building, tuning, and deploying predictive models using Python and popular libraries. By the end of the course, learners are ready to implement predictive AI solutions.
Skills Gained
By the end of this course, participants will be able to:
- Understand the core principles of predictive AI to drive innovation
- Develop and evaluate predictive models to enhance predictive processes
- Gain proficiency in using Python libraries to streamline AI model development
- Implement neural networks and deep learning techniques to solve complex business problems
- Apply best practices for model deployment and monitoring to ensure reliable AI solutions
Who Can Benefit
- Data Scientists & Analysts
- Software Developers
Prerequisites
- Practical Python Experience
- Applied Data Science Concepts with Python course or equivalent experience.
Software
- All attendees must have a modern web browser and an Internet connection.
Course Details
Course Details
Basics of Predictive AI
- Defining Machine Learning, AI, Predictive AI, and Generative AI
- Understanding Artificial Intelligence
- Predictive AI: Forecasting from Data
- Overview of Neural Networks
- The Machine Learning Workflow
- Data Collection, Exploration, and Preprocessing
- Model Training, Evaluation, and Selection
- Model Deployment and Monitoring
Monitoring Infrastructure
- Drift Detection and Model Updating Strategies
- A/B Testing for Model Deployment
- Predictive AI Applications: NLP, Computer Vision, and Healthcare
- Data Challenges and Mitigation Strategies
- Model Interpretability and Explainability
- Ethical Considerations and Bias
- Additional Resources and Reflection Questions
Preparing Real-World Data for Use
- What is Data?
- Data Collection and Loading Methods
- Data Pre-processing Techniques
- Categorical Data Handling
- Feature Engineering and Integration
- Data Exporting and Storage
Supervised Learning: Classification
- Introduction to Classification
- Decision Boundary and Labels
- Training and Evaluating a Classifier
- Performance Metrics and ROC-AUC
- Overfitting and Generalizability
- Different Classifiers and Applications
Supervised Learning: Regression
- Introduction to Regression Prediction
- Linear and Polynomial Models
- Time Series Regression
- Regularization Techniques
- Model Evaluation and Residual Analysis
Supervised Learning: Ensembling
- Why Ensemble Learning?
- Core Ensemble Methods: Bagging, Boosting, Voting
- Random Forests and Gradient Boosting Trees
- Implementation and Key Features
Unsupervised Learning
- Learning from Unlabeled Data
- Clustering Techniques: K-Means, Hierarchical, DBSCAN
- Dimensionality Reduction: PCA, t-SNE, UMAP
- Applications and Best Practices
Model Selection & Evaluation
- Cross-Validation Techniques
- Hyperparameter Tuning: Grid and Random Search
- Validation and Learning Curves
Foundations of Neural Networks
- Neurons in the Brain vs. Transistors in Chips
- Multi-Layer Perceptron Architecture
- Universal Function Approximator
- Loss Functions and Gradient Descent
- Interpretability and Applications
Basics of Deep Learning
- Backpropagation and Weight Initialization
- Batch Training and Dense Layers
- Deep Learning Hyperparameters
- Training Pipelines and Performance Debugging
Schedule
FAQ
Does the course schedule include a Lunchbreak?
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
What languages are used to deliver training?
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
What does GTR stand for?
GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
How do I find an Ascendient Learning training location?
We have training locations across the United States and Canada - View a complete list of classroom training locations.
Which delivery formats are available?
At Ascendient Learning, we offer training that is Instructor-Led, Online, Virtual, and Self-Paced.
Does Ascendient Learning deliver group training?
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
What does vendor-authorized training mean?
As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.
Is the training too basic, or will you go deep into technology?
It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.
How up-to-date are your courses and support materials?
We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.
Are your instructors seasoned trainers who have deep knowledge of the training topic?
Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.
Do you provide hands-on training and exercises in an actual lab environment?
Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.
Will you customize the training for our company’s specific needs and goals?
We will work with you to identify training needs and areas of growth. We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.
How do I get started with certification?
Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.
Will I get access to content after I complete a course?
You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.
How do I request a W9 for Ascendient Learning?
View our filing status and how to request a W9.
Reviews
the interface was super easy to use and the instructions to get ready for the course was also very simple and easy to understand.
I registered a day before class and am happy that I received all the materials and links in time for the class. Thanks.
I found this course informative. It was easy to follow and provided some good information.
Thorough explanations by the instructor along guide and practical training sim of software.
It is very good and very simple instructions. almost to much hand holding.
