Master the Most Highly Demand Skill by Becoming an AI Risk Management Expert.
AI Risk Management Expert
Learn to identify, assess, and mitigate risks associated with AI implementations for responsible deployment.
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Program Duration:
4 Months (16 Weekends)
Program Format:
100% Online
Learning Model:
Instructor - Led
Program Start Date:
Start July 20th of 2024
Efforts Required:
16 Hours Weekly
Tuition:
$ 3,000
AI Risk Management Expert Course Highlights
The AI Risk Management Expert program equips students with the skills to identify, assess, and mitigate risks associated with AI implementations, focusing on ethical, legal, and operational aspects. Students will learn risk analysis techniques tailored to AI, such as impact assessment and probability analysis, and explore strategies for risk mitigation, monitoring, and communication. The program covers regulatory requirements related to AI, such as GDPR and CCPA, and best practices for ensuring compliance. Students will gain the skills to proactively manage risks throughout the AI project lifecycle, ensuring the responsible and successful deployment of AI technologies in various industries
What you will learn after the completion of the program
Identify AI-related risks across projects and operations
Assess the impact and probability of AI risks
Mitigate risks through strategic planning and implementation
Monitor AI systems for ongoing risk management
Communicate effectively about AI risks and mitigation strategies
Ensure compliance with AI regulations and ethical guidelines

AI Risk Management Expert Course Curriculum

Module 1:
Fundamental Knowledge of AI and Machine Learning
1 Project
In the Fundamental Knowledge of AI and Machine Learning module, students will gain a foundational understanding of AI and ML concepts. They will learn about the basic principles behind AI, including machine learning algorithms and their applications. Topics may include supervised and unsupervised learning, neural networks, deep learning, natural language processing, and computer vision. Students will also explore how AI is used in various industries and its impact on society.
Module 2:
Understanding Generative AI and its Applications
1 Project
In the Understanding Generative AI and Its Implications module, students will delve into the capabilities and implications of generative AI technologies. They will explore how the setechnologies are used to create new content, such as images, text, and music, and their potential impact on various industries. Topics may include deep learning architectures, GANs, and ethical considerations surrounding generative AI. Students will gain a deep understanding of the opportunities and challenges posed by generative AI and its potential applications.
Module 3:
AI + ML Operations
1 Project
In the AI + ML Operations module, students will learn how to effectively manage and deploy AI and machine learning systems in real-world settings. They will explore best practices for model deployment, monitoring, and maintenance, as well as strategies for scaling AI operations. Topics may include model versioning, containerization, orchestration, and continuous integration/continuous deployment (CI/CD) pipelines. Students will also learn how to evaluate the performance of AI models and optimize them for efficiency and accuracy.
Module 4:
AI + Cloud Computing + Cloud Service Providers
1 Project
In the AI + Cloud Computing + Cloud Service Providers module, students will explore the integration of AI technologies with cloud platforms for scalable and efficient solutions. They will learn about the benefits of using cloud services for AI, including flexibility, cost-effectiveness, and accessibility. Topics may include setting up AI environments on cloud platforms, leveraging cloud-based AI services, and optimizing AI workloads for cloud deployment. Students will also gain an understanding of different cloud service providers and their offerings for AI applications.
Module 5:
AI + Prompt Engineering
1 Project
In the AI + Prompt Engineering module, students will delve into the art and science of crafting effective prompts for AI systems. They will learn how to design prompts that elicit the desired responses from AI models, taking into account factors such as context, clarity, and specificity. Students will explore various techniques for prompt engineering, including language modeling, parameter tuning, and prompt customization. Through hands-on exercises, they will gain practical experience in creating prompts for different types of AI applications, such as natural language processing and image generation.
Module 6:
AI + Design Thinking
1 Project
In the AI + Design Thinking module, students will learn how to apply design thinking principles to the development of AI solutions. They will explore human-centered approaches to AI design, focusing on empathy, ideation, and iteration. Topics may include user research, persona development, and prototyping in the context of AI projects. Students will gain a deep understanding of how design thinking can enhance the usability, accessibility, and effectiveness of AI systems, ultimately leading to more innovative and impactful solutions.
Module 7:
AI + Change Management
1 Project
In the AI + Change Management module, students will discover strategies for navigating organizational change driven by AI implementations. They will explore change management principles and techniques tailored to AI projects, including stakeholder engagement, communication strategies, and resistance management. Students will learn how to effectively plan and execute change initiatives to ensure successful AI adoption and integration within organizations.
Module 8:
AI + Strategy + Adoption
1 Project
In the AI + Strategy + Adoption module, students will develop the skills to formulate and implement effective AI strategies within organizations. They will learn how to align AI initiatives with business goals, assess AI readiness, and develop adoption plans. Topics may include developing AI roadmaps, evaluating AI technologies, and creating business cases for AI projects. Students will gain insights into best practices for driving AI adoption and fostering a culture of innovation within organizations.
Module 9:
AI + Leadership
1 Project
In the AI + Leadership module, students will explore the unique challenges and opportunities of leading AI-driven teams and projects. They will learn how to inspire and guide teams to innovate with AI, foster a culture of continuous learning, and navigate ethical and social implications. Topics may include strategic decision-making, team empowerment, and ethical leadership in the context of AI. Students will develop the skills to drive AI initiatives and make impactful contributions to their organizations.
Module 10:
AI + Automation
1 Project
In the AI + Automation module, students will learn how to leverage AI technologies to automate processes and workflows. They will explore the principles of robotic process automation (RPA), machine learning automation, and intelligent automation. Topics may include identifying automation opportunities, designing automated workflows, and integrating AI-powered automation solutions into existing systems. Students will gain practical skills to streamline operations, increase efficiency, and drive innovation through AI automation.
Module 11:
AI + Decision Making
1 Project
In the AI + Decision Making module, students will discover how AI can enhance decision-making processes across industries. They will explore advanced decision-making frameworks and tools powered by AI, such as machine learning algorithms and predictive analytics. Topics may include risk assessment, scenario planning, and optimization techniques. Students will gain the skills to leverage AI for data-driven decision-making, leading to more informed and impactful outcomes.
Module 12:
AI + Communication
1 Project
In the AI + Communication module, students will learn how to effectively communicate AI concepts and insights to diverse audiences. They will explore techniques for translating complex AI technologies into clear and understandable language, using visualizations and storytelling. Topics may include communicating AI results to non-technical stakeholders, addressing ethical and societal implications of AI, and building trust through transparent communication practices. Students will develop the skills to communicate the value of AI effectively and facilitate collaboration across multidisciplinary teams.
Module 13:
AI + Project Management
1 Project
In the AI + Project Management module, students will learn how to effectively manage AI projects from initiation to completion. They will explore project management methodologies and tools tailored to AI projects, including agile and waterfall approaches. Topics may include project planning, resource allocation, risk management, and stakeholder communication. Students will gain the skills to lead successful AI projects, ensuring they are delivered on time, within budget, and meet the desired outcomes.
Module 14:
AI + Data Strategy
1 Project
In the AI + Data Strategy module, students will explore how to develop and implement effective data strategies to support AI initiatives. They will learn how to align data strategy with business objectives, assess data quality and availability, and design data pipelines for AI applications. Topics may include data governance, data architecture, and data integration. Students will gain the skills to leverage data as a strategic asset for AI-driven innovation and decision-making.
Module 15:
AI + Data Governance
1 Project
In the AI + Data Governance module, students will learn how to establish and maintain effective data governance frameworks for AI projects. They will explore best practices for data management, data quality, and data privacy in the context of AI. Topics may include data stewardship, regulatory compliance, and ethical considerations. Students will gain the skills to ensure that data used in AI applications is accurate, reliable, and secure, while complying with relevant regulations and guidelines.
Module 16:
AI + Data Ethics
1 Project
In the AI + Data Ethics module, students will delve into the ethical considerations surrounding AI and data usage. They will explore principles for ethical AI development, such as fairness, transparency, and accountability. Topics may include bias detection and mitigation, privacy protection, and algorithmic accountability. Students will learn how to navigate complex ethical issues in AI and develop strategies to ensure responsible and ethical AI practices.
Module 17:
AI + Data + Analytics + Intelligence
1 Project
In the AI + Data + Analytics + Intelligence module, students will explore the intersection of data, analytics, and AI to drive intelligent decision-making. They will learn how to leverage data and analytics to extract meaningful insights and enhance business intelligence. Topics may include data visualization, predictive analytics, and machine learning. Students will gain the skills to harness the power of data and analytics to drive innovation and create value in organizations.
Module 18:
AI + Documentation + Content Management        
1 Project
In the AI + Documentation + Content Management module, students will learn how to effectively manage AI documentation and content. They will explore best practices for documenting AI models, algorithms, and processes, as well as strategies for organizing and maintaining AI-related content. Topics may include version control, documentation standards, and content management systems. Students will gain the skills to ensure that AI documentation is accurate, accessible, and up-to-date, facilitating collaboration and knowledge sharing within organizations.
Module 19:
AI + Regulations + Laws + Compliance
1 Project
In the AI + Regulations + Laws + Compliance module, students will explorethe regulatory landscape surrounding AI technologies. They will learn about relevant laws and regulations that govern AI, such as data protection laws and algorithmic accountability requirements. Topics may include GDPR, CCPA, and other regulatory frameworks. Students will gain the skills to navigate complex regulatory environments and ensure that AI implementations comply with legal and ethical standards.
Module 20:
AI + Ethics + Guidelines + Framework
1 Project
In the AI + Ethics + Guidelines + Framework module, students will examine ethical considerations in AI development and deployment. They will explore existing ethical guidelines and frameworks, such as the IEEE Ethically Aligned Design and the AI Ethics Guidelines from various organizations. Topics may include bias mitigation, fairness, accountability, and transparency (FAT) principles. Students will gain the skills to evaluate and apply ethical guidelines in AI projects, ensuring responsible and ethical AI practices.
Module 21:
AI + Risks + Analysis + Evaluation + Management
1 Project
In the AI + Risks + Analysis + Evaluation + Management module, students will learn how to identify, assess, and manage risks associated with AI projects. They will explore techniques for risk analysis and evaluation specific to AI, such as impact assessment and probability analysis. Topics may include risk mitigation strategies, risk monitoring, and risk communication. Students will gain the skills to proactively manage risks throughout the AI project lifecycle, ensuring the successful and responsible implementation of AI technologies.
Module 22:
 AI + Governance
1 Project
In the AI + Governance module, students will learn how to establish and maintain governance frameworks for AI initiatives. They will explore best practices for AI governance, including roles and responsibilities, decision-making processes, and compliance mechanisms. Topics may include regulatory compliance, risk management, and ethical considerations. Students will gain the skills to ensure that AI projects are conducted ethically, transparently, and in compliance with relevant laws and regulations.
Module 23:
AI + Mitigation Approach
1 Project
In the AI + Mitigation Approach module, students will learn how to identify, assess, and mitigate risks associated with AI implementations. They will explore strategies for mitigating risks such as bias, privacy violations, and security breaches. Topics may include risk assessment frameworks, mitigation strategies, and monitoring mechanisms. Students will gain the skills to develop comprehensive risk mitigation plans to safeguard AI systems and protect against potential harms.
Module 24:
AI + Information Security
1 Project
In the AI + Information Security module, students will explore strategies to ensure the security of AI systems and data. They will learn about cybersecurity threats specific to AI, such as adversarial attacks and data breaches. Topics may include secure AI model development, data encryption, and access control mechanisms. Students will gain the skills to implement robust security measures to protect AI systems from cyber threats and ensure data privacy and integrity.
Module 25:
AI + Responsible AI Principles
1 Project
In the AI + Responsible AI Principles module, students will learn about the principles and practices of responsible AI development and deployment. They will explore concepts such as fairness, transparency, accountability, and privacy in the context of AI. Topics may include ethical guidelines, regulatory requirements, and industry standards for responsible AI. Students will gain the skills to integrate responsible AI principles into their projects, ensuring that AI technologies are developed and used in a way that is ethical and beneficial for society.
Module 26:
AI + Auditing
1 Project
In the AI + Auditing module, students will learn how to conduct audits of AI systems to ensure they are operating effectively, ethically, and in compliance with regulations. They will explore auditing methodologies and tools specific to AI, such as model performance evaluation, bias detection, and compliance checks. Topics may include audit planning, data collection and analysis, and reporting findings. Students will gain the skills to assess the reliability and integrity of AI systems and make recommendations for improvement.
Module 27:
AI + Reporting
1 Project
In the AI + Reporting module, students will learn how to effectivelycommunicate the results and impacts of AI projects to stakeholders. They willexplore techniques for creating informative and engaging reports that conveycomplex AI concepts in a clear and accessible manner. Topics may include datavisualization, storytelling with data, and reporting best practices. Studentswill gain the skills to create compelling reports that drive understanding,engagement, and decision-making in AI initiatives.
Module 28:
AI + Privacy
1 Project
In the AI + Privacy module, students will explore strategies for protecting user privacy in AI applications. They will learn about privacy-preserving techniques, such as anonymization, differential privacy, and data minimization. Topics may include regulatory requirements related to privacy, such as GDPR and CCPA, and best practices for ensuring compliance. Students will gain the skills to design AI systems that respect user privacy and adhere to privacy regulations.

The Bright Next Academy Portfolio-Ready Capstone Project

The Bright Next Academy Portfolio-Ready Capstone Project represents the culmination of students' learning journey, emphasizing practical skills, innovation, and problem-solving. Students identify real-world problems, conduct thorough research, design comprehensive solutions, and implement them with creativity and resourcefulness. Throughout the process, they collaborate, analyze data, and evaluate outcomes to refine their approaches. The project enhances students' critical thinking, project management, and communication skills, preparing them for professional success.

The capstone project comprises several key components: problem identification, research and analysis, solution design, implementation, evaluation, documentation, and presentation. By engaging in interdisciplinary projects, students foster collaboration and creativity, addressing societal challenges and driving innovation. The project not only enriches their academic experience but also enhances their portfolios, making them more competitive in the job market.

Ultimately, the capstone project showcases students' ability to tackle real-world challenges, adapt to dynamic environments, and deliver impactful solutions. It serves as a testament to their growth, skills, and readiness to excel in their chosen careers. Through hands-on experience and practical application of knowledge, students emerge as future-ready professionals equipped with the mindset and expertise to thrive in the ever-evolving landscape of their respective fields.

1. Capstone Project One

Our e-Learning provide personalized learning experiences, catering to the specific requirements of individuals and employers. Our courses are designed to address industry trends, technological advancements, and the evolving needs of the job market. They are also developed by industry experts and seasoned practitioners and deliver the latest insights, best practices, and practical knowledge to help navigate their career paths.

2. Capstone Project Two

Our e-Learning provide personalized learning experiences, catering to the specific requirements of individuals and employers. Our courses are designed to address industry trends, technological advancements, and the evolving needs of the job market. They are also developed by industry experts and seasoned practitioners and deliver the latest insights, best practices, and practical knowledge to help navigate their career paths.

3. Capstone Project Three

Our e-Learning provide personalized learning experiences, catering to the specific requirements of individuals and employers. Our courses are designed to address industry trends, technological advancements, and the evolving needs of the job market. They are also developed by industry experts and seasoned practitioners and deliver the latest insights, best practices, and practical knowledge to help navigate their career paths.

4. Capstone Project Four

Our e-Learning provide personalized learning experiences, catering to the specific requirements of individuals and employers. Our courses are designed to address industry trends, technological advancements, and the evolving needs of the job market. They are also developed by industry experts and seasoned practitioners and deliver the latest insights, best practices, and practical knowledge to help navigate their career paths.

5. Capstone Project Five

Our e-Learning provide personalized learning experiences, catering to the specific requirements of individuals and employers. Our courses are designed to address industry trends, technological advancements, and the evolving needs of the job market. They are also developed by industry experts and seasoned practitioners and deliver the latest insights, best practices, and practical knowledge to help navigate their career paths.

6. Capstone Project Six

Our e-Learning provide personalized learning experiences, catering to the specific requirements of individuals and employers. Our courses are designed to address industry trends, technological advancements, and the evolving needs of the job market. They are also developed by industry experts and seasoned practitioners and deliver the latest insights, best practices, and practical knowledge to help navigate their career paths.

Languages and Tools Covered

AI Career Outlook: Seizing Opportunities in a Data-Driven World

In today's data-driven world, Artificial Intelligence (AI) is revolutionizing industries and transforming the way businesses operate. With exponential growth in AI technologies, the career landscape is ripe with opportunities for skilled professionals. Here's an outlook on AI career opportunities, supported by statistics:

97Mi

AI-related jobs are projected  by 2025
World Economic Forum

74%

increase in AI-related job postings since 2015
Linkedin

Salary Range

Entry level: $70k- $100k
Intermediate: $110k - $150k
Advanced: $150k - $250k
World Economic Forum

Who Should Enroll :

Product Managers
Programs Managers
Project Managers
Product Owner
Business Analyst
Adoption specialist
Functional Consultant/ Analyst
Directors
Mangers
Change Management Specialist
IT Advisors
Risk Analyst
IT Auditor
Agilist
Compliance Analyst
Business Advisor
Solution Delivery Managers
Potential AI Roles:
AI Consultant
AI Product Manager
AI Program Manager
AI Adoption Specialist
AI Innovation/ COE Leader
AI Change Management Expert
AI Scrum Master
AI Agile Coach
AI Digital Strategy Consultant
AI Technical Advisor
AI Knowledge Management Expert/Curriculum Development Expert
AI business Analyst
AI product Owner
AI Project Manager
AI Solution Delivery Manager
AI Governance Specialist
AI Functional Analyst

What Makes Bright Next Academy Disruptor

Built in AI & ML Learning Content

  • AI & ML powered Adaptive content delivery
  • Intelligent Tutoring Systems
  • AI powered virtual and chatbot assistants

Augmented Reality Integrated Feature

  • Learners interact with virtual object, animations or simulations overload onto the real world environment
  • Manipulate virtual equipment and observe realistic reactions
  • Learners are able to collaborate with others on AR project or presentations

Interactive and Immersive Learning Experience

  • Live interactions with instructors and peers via zoom
  • Opportunity to engage in group discussions with peers around the world.
  • Opportunity to ask questions and get constructive feedback.

Dynamic Curriculum

  • Exposure to engaging learning activities and simulations (Gamification, virtual labs, role playing and group projects)
  • Engage in assessment and evaluation activities to measure learners' understanding and mastery of the concept covered.
  • Expected to complete a weekly task and a capstone project at the end of the course program.
  • Robust contents and video

Cohort Based Learning

  • Gained the experience of working in a cross functional environment.
  • Gain the privilege of working on a project with other learners around the world.
  • Students are able to apply course concepts to industry use cases/real time project

Trained by Certified Instructors

  • Our instructors work with 500 fortune companies
  • Our instructors are recipients of workplace recognition awards
  • Our instructors are active members and alumnae of various recognized certification institutions

Job Ready Portfolio through our Curated E-Learning Contents

  • Able to present a use case project to prospective employers after the completion of a capstone project
  • Able to develop useful hands-on skills after exposure to real time projects.
  • Our pragmatic learning approach gives you a competitive edge during candidate selection

Close Knit Community

  • Unlimited access to industry experts and alumnae
  • Unlimited access to Bright Next Academy Employer Network opportunities
  • Opportunity to network with your peers around the world.

Dedicated Career Support

  • Mentored by 500 fortune company industry experts and professionals.
  • Interview preparation
  • Job Search Support

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Frequently Asked Questions

1. What types of courses does Bright Next Academy offer?

Bright Next Academy offers a diverse range of courses under our diverse school segments spanning various fields including schools of Machine Learning and Artificial Intelligence, Data Science, Analytics and Governance, Cyber Security, Agile, Lean and Leadership, Business Management, Cloud and Dev-ops, Design, CRM, ERP, HCM, Customer Success, Software Development and Engineering, Entertainment and Sports, Entrepreneurship and Vocation, Language, Specialized Program Courses, Product and  Project Management. Our curriculum is designed to cater to learners at different stages of their educational and professional journey.

2. How are courses delivered at Bright Next Academy?

Our courses are delivered through a blend of online and offline methods. This includes online and instructor led live classes, online self-pace, in-person class and on-site. For a more structured learning experience, we offer instructor-led live classes conducted online, allowing real-time interaction with educators and peers. Our online self-paced courses provide the flexibility to learn at any time and place, featuring engaging video lectures and interactive content. In-person classes are available for hands-on learning and direct engagement with instructors, ideal for practical coursework. Additionally, we provide onsite training for organizations, offering custom-designed programs tailored to professional needs. Each delivery method aims to create a comprehensive, adaptable learning environment for all types of learners.

3. Can I access Bright Next Academy courses from anywhere?

Yes, our online platform is accessible globally, allowing you to learn at your own pace, from the comfort of your home or any location with internet access.

4. Are there any prerequisites for enrolling in a course at Bright Next Academy?

Course prerequisites vary. Some courses require a basic understanding of the subject, while others are designed for beginners. We recommend checking the specific course details for prerequisite information.

5. Does Bright Next Academy offer any certifications or diplomas?

Upon successful completion of a course, students receive a certificate of completion, validating their skills and knowledge in the respective field. These credentials are recognized by various industries and can enhance your professional portfolio.

6. How can I pay for courses at Bright Next Academy?

We accept various payment methods, including credit/debit cards, online banking, and payment plans for some courses. Detailed information about payment options is available on our website.

7. What support services does Bright Next Academy offer its students?

Our support services include academic counseling, technical assistance, and access to a rich library of resources. We also have a dedicated team to help students with any queries or issues they might encounter during their learning journey.

8. How does Bright Next Academy ensure the quality of its courses and instructors?

We meticulously select instructors based on their expertise and industry experience. Additionally, our courses are regularly updated to reflect the latest industry trends and best practices, ensuring high-quality and relevant learning experiences.

9. What kind of career services does Bright Next Academy offer?

Bright Next Academy offers a comprehensive suite of career services, including resume reviews, job search assistance, interview preparation, and career counseling. We also provide workshops and webinars on career development topics, ensuring our students are well-prepared for the job market.

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