New Course Enquiry :
Newly Launched
Responsible AI Certification Course
Responsible AI Certification Course
Have queries? Ask us+1877 812 0905 (Toll Free)
2766 Learners4.1 1150 Ratings
View Course Preview Video
Live Online Classes starting on 11th May 2024
Why Choose Edureka?
Google Reviews
Trustpilot Reviews
G2 Reviews
Sitejabber Reviews
Instructor-led Responsible AI live online Training Schedule
Flexible batches for you
Price 35,99930,599
15% OFF , Save 5400.Ends in
00
h:
00
m:
00
sStarts at 10,200 / monthWith No Cost EMI Know more
Why enroll for Responsible AI Certification Course?
Responsible AI Training Benefits
Responsible AI training provides a wide range of advantages for both individuals and organizations. It provides learners with a thorough understanding of ethical aspects and optimal approaches in AI development and implementation, guaranteeing that AI technologies are created and utilized responsibly. Moreover, this training enables learners to recognize and address biases in AI algorithms, promoting fairness and inclusivity in decision-making procedures.
Annual Salary
Hiring Companies
Want to become a AI Product Manager?
Annual Salary
Hiring Companies
Want to become a AI Product Manager?
Annual Salary
Hiring Companies
Want to become a AI Product Manager?
Why Responsible AI Certification Course from edureka
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
Industry Recognised Certification
- Edureka Training Certificate
- Graded Performance Certificate
- Certificate of Completion
Like what you hear from our learners?
Take the first step!
About your Responsible AI Certification Course
Responsible AI Course Skills Covered
Tools Covered in Responsible AI Course
Responsible AI Course Curriculum
Curriculum Designed by Experts
Overview of Responsible AI
13 Topics
Topics:
- Rise of AI
- Applications of AI and its uses
- What is Responsible AI
- AI Responsibility Pyramid
- Interaction and Adaptability of AI
- Asimov's 3 Laws of Robotics
- Case Study: Why Are AI-Generated Hands So Problematic?
- Importance of Training Data
- Case Study: Anti-White bias in Gemini AI
- Googleโs 7 AI principles
- The Multifaceted Meanings of Responsible AI
- Varied Understandings of Operationalization
- The Duality of Trust and Trustworthiness
![skill]( "Hands On Experience")
- Identifying the glitches in AI tools
- Know about the AI responsibility pyramid
- Studying operability in AI
![skill]( "skill you will learn")
- Constructing responsible pyramid in organization
- Importance of training data
- Implementing 7 AI principles
AI Governance
9 Topics
Topics:
- Governance pattern for Responsible AI
- Industry-Level Governance Patterns
- Organization-Level Governance Patterns
- Team-Level Governance Patterns
- Benefits of Governance
- The Management, Roles, and Responsibility of Humans and Machines
- Challenges of Scaling AI
- Holistic AI governance
- IBM principles of responsible AI
![skill]( "Hands On Experience")
- Know the governing patterns
- Assess governing patterns at different levels
![skill]( "skill you will learn")
- Implementing governing rules at different levels of organization
- Designating Roles and Responsibilities for machines and AI
Accountability and Model Privacy in AI
11 Topics
Topics:
- Accountability in AI
- Data Drift
- Concept Drift
- Introduction to Data Modeling and Privacy
- Hashing
- L-Anonymity
- T-Closeness
- Privacy
- Federated Learning
- Responsible AI Lifecycle
- Issues while scaling AI
![skill]( "Hands On Experience")
- Accountability parameters in AI
- Privacy parameters in AI
![skill]( "skill you will learn")
- Techniques to set up accountability in AI
- Set up privacy framework
Laws and Ethics in AI
11 Topics
Topics:
- Introduction to Laws and Ethics in AI
- Legal Landscape for AI
- Key Ethical Principles in AI
- AI Bias and Fairness
- AI conformity with the state
- AI conformity with business
- AI conformity with society
- Potential rules and regulations on AI
- Laws and Ethics to safeguard individuals
- Global Justice for AI
- Decision making list on Government level
![skill]( "Hands On Experience")
- Potential laws binding AI
- Rules and Regulations on AI
![skill]( "skill you will learn")
- Framing laws and regulations on AI
- Implement Bias and Fairness
Free Career Counselling
We are happy to help you 24/7
Like the curriculum? Get started
Certified Responsible AI Course Details
About Responsible AI Course
Our Responsible AI Course is designed to provide participants with a comprehensive understanding of the ethical implications and best practices surrounding the development and deployment of artificial intelligence. This training will teach topics such as bias identification and mitigation, transparency and explainability, privacy and data protection, and accountability and governance.
What are the objectives of this Responsible AI course?
After the completion of this Responsible AI course, you will be able to:
- Acquire a comprehensive knowledge of the ethical implications and considerations surrounding AI technologies
- Gain knowledge and skills needed to identify and mitigate biases encountered in AI algorithms, ensuring fairness and inclusivity in decision-making.
- Explore transparency and explainability techniques, enabling them to understand and communicate the rationale behind AI model predictions and decisions that might have an impact on society.
- Examine privacy and data protection principles relevant to AI systems, and provide strategies for complying with regulatory requirements and safeguarding sensitive data.
- Establish governance frameworks and accountability measures within their organizations to ensure the responsible development and deployment of AI technologies.
- Foster a deeper understanding of the societal impact of AI and encourage people to consider the broader ethical implications of AI innovations.
- Provide practical guidance and tools for navigating regulatory landscapes and promoting ethical AI practices in real-world scenarios.
What are the pre-requisites for this Responsible AI course?
The prerequisites for the course include a foundational understanding of Artificial Intelligence concepts, familiarity with Machine Learning tools and techniques, and prior experience in AI development.
Why take up this Responsible AI Certification Course?
Responsible AI Certification Course is crucial for anyone involved in AI development or deployment. It equips individuals with the necessary knowledge and skills to ensure that AI systems are developed and used ethically and responsibly. This certification provides a comprehensive understanding of the ethical implications, biases, and risks associated with AI technologies, enabling professionals to implement safeguards and best practices throughout the AI lifecycle.
Who should take up this Responsible AI Certification Course?
The Responsible AI Certification Course is suitable for a diverse range of professionals involved in AI development and deployment, which includes data scientists, engineers, policymakers, ethicists, business leaders, etc. It's particularly beneficial for individuals responsible for designing, implementing, or overseeing AI systems, as well as those interested in understanding the ethical implications that AI has on society and lifestyle.
Why should you take Edurekaโs Responsible AI course?
Edurekaโs Responsible AI course is crucial due to the expanding utilization of Artificial Intelligence, However, as these AI tools and services enter the market, it's essential to prioritize Responsible AI principles to safeguard against potential misuse and protect the broader population.
What are the system requirements for this Responsible AI course?
The system requirements for the Responsible AI course include:
- A laptop or desktop computer with a minimum of 8 GB RAM with Intel Core-i3 and above processor.
- A stable and high-speed internet connection is necessary for accessing online course materials, videos, and software.
Responsible AI Training Projects
Fair Hiring Practices
A company has created a tool driven by AI for evaluating job candidates' resumes. This tool is used to overlook demographic details like name, gender, race, and age, and instead ....Healthcare Diagnostics
Responsible AI can help with diagnostics while giving importance to patient privacy and data security. Strong security measures should be in position to protect patients' confide....Responsible AI Certification
To unlock Edureka's Responsible AI Course completion certificate, you must ensure the following:
- Completely participate in this Responsible AI Certification Training course
- Evaluation and completion of the quizzes and projects listed.
Edurekaโs Responsible AI course is a certification signifying that the individual has acquired the knowledge and skills necessary to identify and address ethical considerations, mitigate biases, ensure transparency and accountability, and navigate regulatory frameworks relevant to AI.
After obtaining Responsible AI course certification, you may be qualified for a range of job roles. Some of the more specific job roles you may be qualified for include:
Responsible AI Product Manager
Responsible AI Engineer
Natural Language Processing (NLP)- Responsible AI Engineer
Research Scientist - AI Ethics & Responsible AI Leader
Deputy Director - Responsible AI
AI/ML Architect
Your Name
Title
with Grade X
Sample IDNASignature
The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate
Zoom-in
reviews
Read learner testimonials
This company has been heaven sent to anyone interested in learning the newer technologies that are changing by the day. Their instructors are top notc...
The unique combination of Online Classes with 24*7 On-Demand Support and class recordings/ppt/docs etc in Learning Management System (LMS) on the site...
Chandrasekhara Rao Chitiprolu
I have been using Edureka for learning different topics related to Big Data -Hadoop, PIG, HIVE, Cassandra. I am very happy with the training and the h...
Edureka aptly named, gives the students a Eureka" Moment during the course. Learning is a world to explore and Edureka provides us with the navigation...
Gagan Maheshwari
Thanks a lot for your Android course. Right from the point of the start of the demo class, until the end of the complete course, the ride has been tru...
Hear from our learners
Sriram GopalAgile Coach
Sriram speaks about his learning experience with Edureka and how our Hadoop training helped him execute his Big Data project efficiently.
Vinayak TalikotSenior Software Engineer
Vinayak shares his Edureka learning experience and how our Big Data training helped him achieve his dream career path.
Balasubramaniam MuthuswamyTechnical Program Manager
Our learner Balasubramaniam shares his Edureka learning experience and how our training helped him stay updated with evolving technologies.
Like what you hear from our learners?
Take the first step!
Responsible AI Course FAQs
What is Responsible AI?
Responsible AI refers to the ethical and mindful development, deployment, and use of artificial intelligence (AI) systems. It encompasses various principles and practices aimed at ensuring that AI technologies are used in a manner that aligns with societal values, respects human rights, and promotes fairness, transparency, accountability, and privacy. Responsible AI involves considerations such as addressing bias and discrimination in AI algorithms, protecting user data and privacy, ensuring transparency and accountability in AI decision-making processes, and mitigating potential societal impacts of AI technologies.
Who are the instructors?
All the instructors at Edureka are practitioners from the Industry with a minimum of 10-12 years of relevant IT experience. They are subject matter experts and are trained by Edureka for providing an awesome learning experience to the participants.
Will I get placement assistance after completing this Responsible AI Course?
To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.
What if I have more queries after completion of Responsible AI Course?
Just give us a CALL at +91 98702 76459/1844 230 6365 (US Toll-free Number) OR email at sales@edureka.co.
What if I miss a class of Responsible AI Course?
You will never miss a lecture at Edureka! You can choose either of the two options:
- View the recorded session of the class available in your LMS.
- You can attend the missed session, in any other live batch.
Will Edurekaโs Responsible AI course cover emerging trends and developments in AI?
This course stays updated with emerging trends, developments, and best practices in the field of Responsible AI. Learners will explore the latest research, tools, and techniques for ensuring ethical AI practices in their organizations.
Be future ready, start learning
Have more questions?
Course counsellors are available 24x7
For Career Assistance :
- DevOps Certification Training Course
- AWS Certification Training Course for Solutions Architect
- Big Data Hadoop Certification Training Course
- Tableau Certification Training Course
- Data Science with Python Certification Course
- Selenium Certification Training Course
- PMP Certification Training Course
- RPA using UiPath Certification Training
- Apache Spark and Scala Certification Training Course
- Microsoft Power BI Certification Training Course
- Java Certification Training Course
- Python Programming Certification Course
- Data Science Training Masters Program
- DevOps Engineer Masters Program
- Cloud Architect Course - Masters Program
- Big Data Architect Masters Program
- Machine Learning Course Masters Program
- Full Stack Developer Course
- Business Intelligence Masters Program
- Data Analyst Certification Course
- Automation Testing Course for Masters
- Post Graduate Diploma in Artificial Intelligence Course
- Post Graduate Program in DevOps