Develop the knowledge and skill sets of AI concepts, technologies, and tools that will enable candidate to become a capable AI practitioner in a wide variety of AI-related job functions. This certification exam is designed for practitioners who are seeking to demonstrate a vendor-neutral, cross-industry skill set within AI and with a focus on ML that will enable them to design, immplement, and hand o an AI solution or environment.
- Solving Business Problems Using AI and ML
- Collecting and refining the dataset
- Setting Up and Training a Model
- Finalizing a Model
- Building Linear Regression Models
- Building Classification Models
- Building Clustering Models
- Advanced Models
- Building Support-Vector Machines
In this course, you will implement AI techniques in order to solve business problems, and will learn to:
- Specify a general approach to solve a given business problem that uses applied AI and ML.
- Collect and refine a dataset to prepare it for training and testing.
- Train and tune a machine learning model.
- Finalize a machine learning model and present the results to the appropriate audience.
- Build linear regression models.
- Building Classification Models
- Building Clustering Models
- Build decision trees and random forests.
- Build support-vector machines (SVMs).
- Build artificial neural networks (ANNs).
- Promote data privacy and ethical practices within AI and ML projects.
- Payment in cash with payment slip or debit cards
- Payment in installments with credit cards
- Payment in installments without interest with credit cards of Stopanska Banka
- Payment by invoice