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Algorithms, AI & Machine Learning

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.

Modality: E-learning
Language: English

  • Certified training

IAS

UKAS

KAB

CPD

COFRAC

ANAB

IAF

  • Certified training

IAS

UKAS

KAB

CPD

COFRAC

ANAB

IAF

419€

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, data, and resources needed to create machine learning and statistical models for automated decision systems (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

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Designed For

People working on the ethics and governance of AI and emerging technologies, or looking to move into the field
People who need to interface between technical teams and executives or senior management
People who feel that a deeper understanding of these technologies is needed to advance their careers

Certification & Exam

Certificate

Certified Algorithms, AI & Machine Learning Professional (by BABL AI)

Exam

No exam, just quizzes

What’s Included?

Video lectures, quizzes, slides and downloadable resources
Slack community access + Weekly Q&A with BABL faculty

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