Responsible AI for Developers: Fairness & Bias Training

Live Online & Classroom Enterprise Training

Learn how to design, build, and deploy AI systems that are fair, transparent, and unbiased. This course helps developers understand ethical AI principles and apply fairness techniques throughout the AI development lifecycle.

Looking for a private batch ?

REQUEST A CALLBACK

Enterprise Reporting
Lifetime Access
CloudLabs
24x7 Support
Real-time code analysis and feedback

What is Responsible AI for Developers: Fairness & Bias Course about?

As AI systems increasingly influence real-world decisions, ensuring fairness and minimizing bias has become critical. This course introduces developers to responsible AI concepts, focusing on identifying, measuring, and mitigating bias in datasets, models, and deployment pipelines. Learners will explore fairness metrics, bias detection techniques, and practical methods to build inclusive AI solutions aligned with ethical and regulatory standards.

What are the objectives of Responsible AI for Developers: Fairness & Bias Course ?

Understand fairness and bias in AI systems
Identify sources of bias in data and models
Apply fairness evaluation metrics
Implement bias mitigation techniques
Follow responsible AI development best practices

Who is Responsible AI for Developers: Fairness & Bias Course for?

AI / ML Developers
Data Scientists
Software Engineers working with AI models
AI Product Engineers
Technical Architects designing AI solutions

What are the prerequisites for Responsible AI for Developers: Fairness & Bias Course?

Prerequisites:

Basic Python programming knowledge
Understanding of Machine Learning fundamentals
Familiarity with datasets and model training workflows
Basic statistics knowledge
Experience with ML frameworks

Learning Path:

Foundations of Responsible AI
Understanding Bias in Data and Models
Fairness Metrics and Evaluation Methods
Bias Mitigation Techniques and Tools
Deploying and Monitoring Fair AI Systems

Related Courses:

Introduction to Responsible AI
Ethics in Artificial Intelligence
Machine Learning Model Evaluation Techniques
AI Governance and Risk Management

Available Training Modes

Live Online Training

1 Days

Course Outline Expand All

Expand All

Module 1: Course Introduction

Course objectives and learning outcomes

Overview of AI and Responsible AI importance

AI impact across industries

Course structure and learning methodology

Tools and platforms used in the course

Module 2: Introduction to Responsible AI

Responsible AI principles and frameworks

Ethical considerations in AI development

Transparency and explainability basics

Accountability and governance models

Responsible AI lifecycle integration

Module 3: AI Fairness & Bias

Types of bias in AI systems

Sources of bias in data and models

Measuring fairness in AI models

Bias mitigation techniques

Real-world case studies of AI bias

Who is the instructor for this training?

The trainer for this Responsible AI for Developers: Fairness & Bias Training has extensive experience in this domain, including years of experience training & mentoring professionals.

Reviews

My outlook on training changed completely after attending SpringPeople BPC training. The content, the trainer and infrastructure at SpringPeople were top notch and perfectly in tune with the industry requirements. Regardless to say, training is now something that I look forward to to. Kudos to everyone at SpringPeople!

Shweta Priya

Sony

I attended the 3-day AngularJs training at SpringPeople. The trainer was an industry veteran with vast experience in the subject. Notably, the hands-on training, and the Q&A session stood out. Overall, I found SpringPeople a great place to learn with excellent facilities and great trainers. Would recommend SpringPeople to my colleagues and friends.

Swati Singh

I attended the training on API Design for Mulesoft. The sessions were well planned and value-laden. I benefited immensely from the hands-on experience enabled through virtual labs. I would like to specifically commend the efficiency of the support team who were always available to resolve my concerns.

Nikhil Kohli

Stryker

I attended the jQuery training batch, conducted by Mr. Vijay, an SME who did a thorough coverage of all the essentials. He took us through concepts such as jQuery animations, event handlers, plugins, and jQuery-UI by small programs, very easily. The sessions were useful and well structured. By the end of the training, I was well equipped to develop a SPA on Product Management System. Overall, the learning experience at SpringPeople was great!

Heena Rajan

Mindtree