Making ChatGPT and Generative AI Work for You (GenAIBIZ)
Course Overview
A major milestone in business automation has been reached—generative AI. Despite its recency, it has already started having a significant impact on our lives. But, the rapid pace at which generative AI is growing can be overwhelming. And, there are so many facets to this field that it can be difficult to know how to use it effectively to improve the business.
This course is designed to demystify generative AI for business professionals, as well as to trace its power to actionable, real-world business goals. It will give you the essential knowledge of generative AI you’ll need to elevate the organization in these exciting times.
Course Objectives
- Describe the fundamentals of AI and generative AI.
- Generate text using AI.
- Generate images and video using AI.
- Generate audio using AI.
- Generate code using AI.
- Identify the challenges of generative AI.
- Implement business strategies for generative AI.
Who Should Attend?
This course is primarily designed for business leaders, consultants, product and project managers, and other decision makers who are interested in unlocking new business opportunities and augmenting existing business processes using generative AI. It’s also a great starting point for any business professionals who want to investigate generative AI solutions for their own individual tasks and workflows.
Course Prerequisites
What’s included?
- Authorized Courseware
- Intensive Hands on Skills Development with an Experienced Subject Matter Expert
- Hands-on practice on real Servers and extended lab support 1.800.482.3172
- Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
- Academy Code of Honor: Test Pass Guarantee
- Optional: Package for Hotel Accommodations, Lunch and Transportation
With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.
Methods
- Instructor-Led (the best training format we offer)
- Live Online Classroom – Online Instructor-Led
- Self-Paced Video
Speak to an Admissions Representative for complete details
| Start | Finish | Public Price | Public Enroll | Private Price | Private Enroll |
|---|---|---|---|---|---|
| 12/8/2025 | 12/12/2025 | ||||
| 12/29/2025 | 1/2/2026 | ||||
| 1/19/2026 | 1/23/2026 | ||||
| 2/9/2026 | 2/13/2026 | ||||
| 3/2/2026 | 3/6/2026 | ||||
| 3/23/2026 | 3/27/2026 | ||||
| 4/13/2026 | 4/17/2026 | ||||
| 5/4/2026 | 5/8/2026 | ||||
| 5/25/2026 | 5/29/2026 | ||||
| 6/15/2026 | 6/19/2026 | ||||
| 7/6/2026 | 7/10/2026 | ||||
| 7/27/2026 | 7/31/2026 | ||||
| 8/17/2026 | 8/21/2026 | ||||
| 9/7/2026 | 9/11/2026 | ||||
| 9/28/2026 | 10/2/2026 | ||||
| 10/19/2026 | 10/23/2026 | ||||
| 11/9/2026 | 11/13/2026 | ||||
| 11/30/2026 | 12/4/2026 | ||||
| 12/21/2026 | 12/25/2026 | ||||
| 1/11/2027 | 1/15/2027 |
Agenda
Duration
5 Days
1 – Solving Business Problems Using AI and ML
- Identify AI and ML Solutions for Business Problems
- Formulate a Machine Learning Problem
- Select Approaches to Machine Learning
2 – Preparing Data
- Collect Data
- Transform Data
- Engineer Features
- Work with Unstructured Data
3 – Training, Evaluating, and Tuning a Machine Learning Model
- Train a Machine Learning Model
- Evaluate and Tune a Machine Learning Model
4 – Building Linear Regression Models
- Build Regression Models Using Linear Algebra
- Build Regularized Linear Regression Models
- Build Iterative Linear Regression Models
5 – Building Forecasting Models
- Build Univariate Time Series Models
- Build Multivariate Time Series Models
6 – Building Classification Models Using Logistic Regression and k-Nearest Neighbor
- Train Binary Classification Models Using Logistic Regression
- Train Binary Classification Models Using k-Nearest Neighbor
- Train Multi-Class Classification Models
- Evaluate Classification Models
- Tune Classification Models
7 – Building Clustering Models
- Build k-Means Clustering Models
- Build Hierarchical Clustering Models
8 – Building Decision Trees and Random Forests
- Build Decision Tree Models
- Build Random Forest Models
9 – Building Support-Vector Machines
- Build SVM Models for Classification
- Build SVM Models for Regression
10 – Building Artificial Neural Networks
- Build Multi-Layer Perceptrons (MLP)
- Build Convolutional Neural Networks (CNN)
- Build Recurrent Neural Networks (RNN)
11 – Operationalizing Machine Learning Models
- Deploy Machine Learning Models
- Automate the Machine Learning Process with MLOps
- Integrate Models into Machine Learning Systems
12 – Maintaining Machine Learning Operations
- Secure Machine Learning Pipelines
- Maintain Models in Production
