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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.

Earn a career certificate

Highlight your certification on LinkedIn, your resume, or CV, and share it proudly on social media

What Makes This Course Unique

Hands-On Projects Build expertise with Responsible AI and ethical AI system design

Expert Mentorship Learn directly from Usha Jagannathan, PhD, Director for AI Products at IEEE SA

Personalized Guidance Exclusive batch of 30 for focused, one-on-one mentorship

Accelerated Learning Master AI skills in just 3 weeks

Career Certification Showcase your skills with an industry-recognized certificate

Job-Search Strategies Unlock actionable tips to land your dream data role

Frequently asked questions

This course is designed for aspiring Data Scientists who want to gain practical experience with real-world projects and enhance their resumes.
This course is designed for beginners and aspiring data scientists, so no prior experience in machine learning is required. However, having a basic understanding of Python programming and foundational statistics will help you get the most out of the training. If you are new to these areas, we recommend brushing up on Python basics and concepts like mean, median, and standard deviation before starting the course.
You’ll complete three industry-relevant projects:
  • Chronic Kidney Disease Prediction with Machine Learning
  • Smart Insights for Insurance Success: Predicting Customer Conversion
  • ML Project for Entry Levels - Bank Churn Prediction
The course spans 3 weeks, with 2 classes per week. Each week focuses on completing one project with hands-on guidance from Kunaal Naik.
This course is designed for aspiring Data Scientists who want to gain practical experience with real-world projects and enhance their resumes.
This course is designed for beginners and aspiring data scientists, so no prior experience in machine learning is required. However, having a basic understanding of Python programming and foundational statistics will help you get the most out of the training. If you are new to these areas, we recommend brushing up on Python basics and concepts like mean, median, and standard deviation before starting the course.
You’ll complete three industry-relevant projects:
  • Sales Data Exploration using SQL
  • Strategic Marketing for Personal Loans using SQL
  • Food Delivery App Data Cleaning with Pandas
The course spans 3 weeks, with 2 classes per week. Each week focuses on completing one project with hands-on guidance from Kunaal Naik.
All sessions will be recorded and made available to participants, so you can catch up at your own pace.
Yes, you will receive a Certificate of Completion, which you can add to your resume and LinkedIn profile.
Each batch is limited to 30 participants to ensure personalized attention and support.
By completing this course, you’ll gain hands-on project experience, a polished resume, and actionable tips for job hunting. These will set you apart in the competitive data analytics job market.
Kunaal Naik is a Senior Data Scientist at Dell Technologies with extensive experience in solving real-world data problems. He’ll personally mentor you throughout the course.
You can enroll by creating a HiCounselor account on the website. Seats are limited, so secure your spot early!

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