Algorithms, AI & Machine Learning
This is a technical crash course in Automated Decision (Augmentation) Systems and generative AI with a focus on bringing non-technical consultants, risk, and policy professionals up to speed on these emerging technologies. The goal is to gain a sufficient understanding of modern techniques to perform risk analysis, governance, and basic algorithm auditing.
Algorithms, AI & Machine Learning
This is a technical crash course in Automated Decision (Augmentation) Systems and generative AI with a focus on bringing non-technical consultants, risk, and policy professionals up to speed on these emerging technologies. The goal is to gain a sufficient understanding of modern techniques to perform risk analysis, governance, and basic algorithm auditing.
Format
Language: English
Modality: E-learning
Format
Language: English
Modality: E-learning
Learning Objectives
By the end of the course, you will be able to:
Learning Objectives
By the end of the course, you will be able to:
List and understand the most common techniques used in AI and machine learning
Understand the methods and data to build ML models for ADMs and generative AI.
Identify common architecture components and their functions
Know the different functions of training data, validation data, and test data
Know the common language of large language models and chatbots
Designed for
Certification
& Exam
Certified AI Governance & Risk Management Professional (by BABL AI)
No exam, just quizzes
What’s Included?
