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Responsible AI Certification Course
Responsible AI Certification Course
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2769 Learners4.1 1150 Ratings
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Live Online Classes starting on 25th May 2024
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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.
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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
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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
- Google’s 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
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Certified Responsible AI Course Details
About Responsible AI Course
In this course, you will gain knowledge about the fundamental aspects of designing unbiased models, making them explainable, and reducing their ethical risks. We will also delve into the details of responsible AI model design, including the relevant activities, stakeholders, projects, and resources involved.
What is the purpose of responsible AI?
The main goal of responsible AI is to mitigate potential risks arising from the use of AI technologies while simultaneously promoting their beneficial application.
What are the pre-requisites for this Responsible AI course?
Enrolling in this course does not have any specific requirements. However, it is recommended to have a basic understanding of AI concepts and fundamental cloud computing.
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 Edureka’s Responsible AI course?
Edureka’s 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.
Edureka's Responsible AI certification signifies that an individual has the knowledge and skills to identify and address ethical considerations, mitigate biases, ensure transparency and accountability, and navigate relevant regulatory frameworks.
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
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Responsible AI Course FAQs
What is Responsible AI?
Responsible AI is an approach to developing and deploying artificial intelligence (AI) that considers ethical and legal issues.
Who are the instructors?
All the instructors at Edureka are industry practitioners with a minimum of 10-12 years of relevant IT experience. They are subject matter experts and are trained by Edureka to provide an awesome learning experience for the participants.
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 Edureka’s 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.
What are the responsible AI requirements?
The Responsible AI requirements are
- Validity and Reliability. Safety.
- Security and Resiliency.
- Accountability and Transparency.
- Explainability and Interpretability.
- Privacy.
- Fairness with Mitigation of Harmful Bias.
What is the difference between AI and responsible AI?
Responsible AI includes a broader set of considerations, such as environmental impact, transparency, and accountability whereas AI focuses on ensuring that AI systems do not discriminate or harm individuals .
How much does an AI engineer earn?
According to Glassdoor, the average salary for an AI Engineer in India is ₹11,00,000 per year.
What is the salary of AI engineer in Accenture?
According to Glassdoor, the estimated total pay range for an AI Engineer at Accenture is ₹7L–₹11.6L per year.
Which company pays most to AI engineer?
Highest Paying AI Engineer Roles By Company
- NVIDIA-$179,451
- Microsoft-$160,857
- OpenAI- $156,913
- LinkedIn-$144,189
Is AI a high paying job?
Yes, AI jobs will be high-paying in 2024 as the AI industry offers some of the most lucrative career opportunities in the technology space.
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