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Building Trustworthy AI Systems
1.4k+ satisfied learners Read Reviews

Building Trustworthy AI Systems

Top Instructor
img Usha Jagannathan, PhD - Director for AI Products

Are you ready to build ethical, trustworthy AI systems and shape the future of responsible technology? This program is tailored for AI enthusiasts and... Read More

Starts on 13 Jan 2025
Duration: 3 Weeks
3 Projects

Gain hands-on experience and set yourself apart in the job market.

4.8

(86 reviews)

Beginner level

Recommended experience

15 hours to complete

3 weeks at 5 hours a week

Flexible schedule

Learn at your own pace

What will you gain from this training?

Three Industry-Relevant Projects to showcase on your resume.

A Masterclass on Searching for a Data Science Job, packed with actionable tips to land your dream role.

A Certificate of Completion to validate your skills.

Gain hands-on experience and set yourself apart in the competitive job market.

1st Week

Session 1: What is Responsible AI?
○ Definition and importance
○ Ethical considerations in AI
○ Case studies of AI gone wrong
○ Create a Power App with Responsible AI (RAI) principles
○ Focus on fairness, transparency, and accountability
● Knowledge Check
● Extra-Credit
○ Record a 3-5 minute video showcasing your project.
○ Introduce yourself, explain the scenario you chose, how you built the app, and how you
incorporated RAI principles.

2nd Week

Session 1: Tools for Responsible AI
○ Introduction to Google What-If Tool
○ Using Jupyter Notebooks for ethical AI

1st Week

Session 1: What is Responsible AI?
○ Definition and importance
○ Ethical considerations in AI
○ Case studies of AI gone wrong
○ Create a Power App with Responsible AI (RAI) principles
○ Focus on fairness, transparency, and accountability
● Knowledge Check
● Extra-Credit
○ Record a 3-5 minute video showcasing your project.
○ Introduce yourself, explain the scenario you chose, how you built the app, and how you
incorporated RAI principles.

2nd Week

Session 1: Tools for Responsible AI
○ Introduction to Google What-If Tool
○ Using Jupyter Notebooks for ethical AI
○ Build a model using Google What-If Tool
○ Analyze and mitigate biases in the model
● Knowledge Check
● Extra-Credit
○ Record a 5-10 minute video showcasing your project.
○ Introduce yourself, describe the dataset you chose, explain the steps you took to
preprocess the data and train the model, showcase how you used the Google What-If
Tool to analyze and mitigate biases.

3rd Week

Session 1: Building Trustworthy AI Systems
○ Introduction to AWS Bedrock
○ Creating AI systems with ethical considerations
○ Build a simple bot with RAI principles using AWS Bedrock
○ Ensure the bot adheres to RAI guidelines
● Knowledge Check
● Extra-Credit
○ Record a 5-10 minute video showcasing your project.
○ Introduce yourself, describe the dataset and model you chose, explain the steps you took
to build and deploy the chatbot, and demonstrate how you ensured the chatbot adheres
to RAI principles.

A program that helps you with UPSKILLING and getting REFERRALS

Structured, industry vetted curriculum

Referrals to employers hiring for your dream role

Access to 350+ employers that hire directly from us

Live classes by faculty who have been there, done that

Career support via a dedicated recruitment team, alumni network, etc

Complete interview readiness via resume review, LinkedIn profile upgrade, salary negotiation, etc.

Frequently asked questions

Yes, candidates can access the session recordings through their session.Candidates can watch the recordings if they want it for future reference or if they miss the session.
Currently we have only the batch with sessions taking place only during the weekdays.
At least 12-15 hours per week of time commitment is expected to be able to graduate from the programme.
Yes , candidates can access the session recordings through their session.Candidates can watch the recordings if they want it for future reference or if they miss the session.
Currently we have only the batch with sessions taking place only during the weekdays.
At least 12-15 hours per week of time commitment is expected to be able to graduate from the programme.

What Our Trainees Say

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About

Are you ready to build ethical, trustworthy AI systems and shape the future of responsible technology? This program is tailored for AI enthusiasts and professionals who want to master Responsible AI principles and apply them to real-world challenges.

In this exclusive live training, you'll work on three cutting-edge Responsible AI projects under the mentorship of Usha Jagannathan, PhD, Director for AI Products at IEEE SA. Each project is designed to enhance your technical expertise while instilling ethical practices in AI development.

This program features:
• Small Batch Size (30 participants) for focused learning and personalized mentorship.
• Hands-On Projects to help you showcase your skills in fairness, transparency, and accountability.
• A Certificate of Completion to highlight your commitment to building ethical AI systems.

Take the next step toward creating AI solutions that are not only innovative but also responsible and trustworthy.

Starts on 13 Jan 2025

Educator

Usha Jagannathan, PhD
Usha Jagannathan, PhD

Responsible AI Leader | Ex-McKinsey | AI Startups Advisor | Higher Ed Expert | Customer Obsessed | AI Speaker | DEI Champion