Length: 14 courses
Price: $475/person (USD)
Access Length: 6 months
Bulk Pricing: 10+ Contact Us
Instant Access After Purchase
Lecture by Recorded Video
Stop and Start as Needed
Certificate of Completion
Software Lab Included?: No
Cloud Based (requires trial or license)
In an era defined by rapid technological advancement, Artificial Intelligence (AI) is transforming every sector. But with immense power comes profound responsibility. The AI Ethics - eLearning Bundle is your comprehensive guide to navigating the complex moral and practical landscape of AI, ensuring its responsible, fair, and transparent deployment.
What You Will Gain: Drive Ethical Innovation & Build TrustThis expertly crafted bundle goes beyond technical understanding, equipping you with the critical insights and actionable strategies to leverage AI's potential while upholding fundamental human values. You will learn to:
Don't let the rapid advancement of AI outpace your ethical foresight. Equip yourself and your organization to build and deploy AI responsibly, fostering trust and driving positive change.
Enroll in the AI Ethics - eLearning Bundle now and become a champion of ethical AI innovation!Also Included - 4 Courses: An Essential Career Skills Pack with 4 courses in key areas for career management and growth, including Time Management, Digital Skills, Creativity and Soft Skills.
This eLearning bundle is essential for anyone involved with AI, from its conceptualization to its daily use. It is ideal for:
This self-paced online course lets you learn independently at your own pace through Certstaffix Training's easy-to-use platform.
Have more than 10 students needing this course? Contact Us for bulk pricing.
AI technology is becoming more sophisticated and can be used to help businesses and individuals be more efficient and productive.
However, the use of AI leads to ethical concerns that must be taken into account. It's important that AI is used responsibly according to fundamental values such as safety, fairness, and human rights.
In this course, we'll look at what ethical AI is and some key issues facing it such as bias, privacy, and transparency.
This course focuses on the ethical implications associated with the development and use of Artificial Intelligence (AI). The course explores the relationship between innovation and ethics in creating a digital future that aligns with ethical principles. The course will take around 8 minutes to complete and is designed for use on desktop, laptop, mobile and tablet.
Explore the landscape of Artificial Intelligence (AI) with a thoughtful and ethical approach in this engaging course. Designed to navigate the integration of AI into daily workflows and projects, this course introduces the "WISE AT AI" framework, a guide for the responsible and effective AI usage. Through practical examples and clear explanations, participants will learn to apply wisdom, inclusivity, security, equity, accountability, and transparency in their interactions with AI tools. Ideal for various roles, from software engineers to daily users, this course encourages proactive and informed engagement with AI technologies, fostering a community of mindful AI users. Join us to make your journey with AI not just innovative, but also wise and responsible.
This course explores the risks, benefits, and limitations of Generative AI tools and your responsibilities when using them for generating text, images or other media.
Generative AI: Ethical, Responsible, and Secure Use is a beginner course. In it, you'll learn the benefits and risks of using AI and how to be an ethical, responsible, and secure user. Generative AI is transforming how we work and improving efficiency and effectiveness. But it is vital that we become ethical, responsible, and secure AI users. This course covers the key risks and considerations when using AI. We'll start by understanding Generative AI and why responsible use is important. We'll then explore the questions to ask before using AI to become aware of any risks associated with your use cases.
You'll learn about the primary risks of using AI: bias, accuracy, copyright, confidentiality, security, and transparency. We'll explore each risk and how to mitigate it as a responsible user. Next, we'll explore how to use AI effectively. Proper use of AI is important for being a responsible user. The better your prompts, the better your outputs will be. You can become a more effective user by understanding how AI works, gaining experience with task appropriateness, and getting training on AI prompting. Finally, we'll refresh your understanding with the top do's and don'ts of Generative AI responsible use. At the end of this course, you'll be able to identify and mitigate the risks of using AI – you'll be a responsible AI user. This interactive course includes a Generative AI: Ethical, Responsible, and Secure Use Quickstart Guide to implement your knowledge of AI. It also has live examples, interactive activities, and opportunities to apply your learning.
Harness the capabilities of AI responsibly with Brett Vanderblock in this comprehensive course on Generative AI Business Ethics. Brett will guide you through the ethical considerations and challenges of using AI for business applications. Learn to identify and mitigate biases, understand the importance of transparency, and establish accountability in AI-driven processes. Bretts real-world examples and case studies will help you grasp the potential consequences of unethical AI usage. Upon completion, you'll be equipped with the knowledge and best practices to ensure that your business's AI applications are ethical, fair, and aligned with societal values.
The AI Ethical Use and Responsibility course provides an in-depth exploration of artificial intelligence, its applications, and the critical ethical considerations tied to its responsible use. As AI transforms sectors like healthcare, finance, and education, understanding its impact on society is essential. This course delves into fundamental AI concepts and guides participants through core ethical issues, including bias, data privacy, transparency, and accountability.
Learners will examine how AI can inadvertently perpetuate societal biases, impacting fairness and inclusivity. The course also highlights the importance of protecting privacy in data-driven AI systems and ensuring transparency, so users understand how AI-driven decisions are made. As AI technology continues to evolve, discussions will address long-term economic impacts, such as job displacement, and explore responsible AI practices that support positive outcomes for both businesses and society.
Participants will gain actionable insights on creating and implementing ethical AI policies within their organizations. The course emphasizes best practices for transparent communication of AI use to clients, fostering trust and alignment with organizational values. By integrating responsible AI use, organizations can maximize the benefits of AI while safeguarding against potential risks.
Upon completion, participants will be equipped to make informed decisions, promote fair practices, and advocate for responsible AI use, contributing to a future where AI enhances human capability and supports ethical business practices.
This course has been designed for business professionals needing a well-rounded introduction to Ethics for Automated Intelligence (AI) and why Responsible AI is important. In the course, we provide both insight and demonstrations to get you started on your roadmap for ensuring Ethics in your AI projects. AI Ethics is a system of moral principles and techniques intended to guide the development and responsible use of Artificial Intelligence (AI) technology. Responsible AI is a set of documentation used in an organization to ensure that AI is used in a & " responsible; framework with pre-defined principles, ethics, and rules to govern AI. This course will guide you through the importance of Automated Intelligence(AI) Ethics with a focus on Responsible AI principles and implementation.
This course offers a thorough exploration of the ethical issues and best practices involved in implementing Artificial Intelligence (AI) within business settings. It starts by establishing the Foundations of AI Ethics, providing a solid understanding of key principles like fairness, transparency, and accountability. The course then moves into the Responsible Use of NLP Tools and Large Language Models, helping participants learn how to apply these technologies ethically and manage potential risks. In the AI Implementation in Internal Business Operations section, the focus shifts to how AI can be integrated into business processes to drive efficiency without sacrificing ethical standards. The course also covers Ethical Considerations in Customer-Facing AI, guiding businesses on how to use AI responsibly to build trust and safeguard user privacy. As AI systems can be biased, we explore strategies for Mitigating AI Risks and Biases, teaching methods to identify and address these issues. The course addresses Governance and Documentation, offering tools for managing AI projects and ensuring regulatory compliance. The Crisis Management and AI Incidents module prepares businesses to handle and resolve AI-related challenges swiftly and effectively. Looking toward the future, we cover Future-Proofing Ethical AI Practices, ensuring businesses stay ahead of evolving technologies and regulations. Finally, the Course Conclusion provides actionable insights for embedding ethical AI practices into organizational culture, ensuring long-term, responsible AI use.
With Responsible AI in the Enterprise, you'll delve into explainable AI, robust ML monitoring, and model governance, while exploring fairness and interpretability toolkits from major cloud providers. In this ebook, you'll master bias mitigation techniques and be ready to apply them in real-world scenarios with FairLearn and Responsible AI Toolbox.
It seems that there is never enough time in the day. But, since we all get the same 24 hours, why is it that some people achieve so much more with their time than others? This course will explain how to plan and prioritize tasks, so that we can make the most of the limited time we have. By using the time-management techniques in this course, you can improve your ability to function more effectively – even when time is tight and pressures are high. So, by the end of the course you will have the knowledge, skills and confidence to be an effective manager of your time.
With the rise of digital transformation and technology, having a basic digital literacy is essential for all types of jobs, regardless of the industry. To stay competitive and be successful in the workplace, enhancing your digital skills should be a top priority.
The digital economy is opening up ways for everyone to be creative. It doesn’t just mean being artistic – it’s more about ideas, solutions, alternatives, incremental improvements. Peter Quarry and Eve Ash discuss ways that mental capacity can be developed, perspectives changed, group power leveraged and making things actually happen.
Soft Skills are the traits, characteristics, habits, and skills needed to survive and thrive in the modern work world. Soft skills aren't usually taught in school, but you will learn them all here in this course. Are you someone that other people in your organization and industry like to work with, collaborate with and partner with? Are you seen as a valuable asset to any new project that comes along?
This soft skills training course will teach you how to develop the skills that can make the difference between a lackluster career that tops out at middle management versus one that lands you in the executive suite. Or to wherever you define career success. So many soft skills seem like common sense at first glance, but they are not commonly applied by most workers. This soft skills training course will give you an edge over your competitors. It will also make your job, your career and your life more rewarding and enjoyable.
Public instructor-led AI course prices start at $460 per student. Group training discounts are available.
Self-Paced AI eLearning courses cost $475 at the starting point per student. Group purchase discounts are available.
A: If you are wondering what Generative AI skills are important to learn, we've written a Generative AI Skills and Learning Guide that maps out Generative AI skills that are key to master and which of our courses teaches each skill.
Learning Generative AI involves understanding the foundational concepts of artificial intelligence, machine learning, and deep learning, followed by hands-on practice with relevant tools and frameworks.
Certstaffix Training offers three efficient methods to pursue your Generative AI training: Engaging Live Online Classes, Tailored Onsite Corporate Training for teams and Self-Paced eLearning.
View our Generative AI courses and available training methods.
Learning Generative AI can vary in difficulty depending on your background and prior knowledge of related concepts.
For individuals with experience in computer science, programming, or machine learning, the process may be more straightforward as it builds upon foundational principles in these areas. For beginners, there can be a steeper learning curve since understanding Generative AI requires grasping concepts like neural networks, data preprocessing, and algorithm training.
However, with the right resources, such as Certstaffix structured courses, hands-on practice, and guidance from experienced instructors, anyone can gradually develop a strong understanding of Generative AI. Like any skill, persistence and consistent practice are key to mastering it.
The need for coding in Generative AI largely depends on the tools and platforms being used, as well as the user's goals. Modern Generative AI platforms, such as ChatGPT or DALL·E, often provide user-friendly interfaces that require little to no coding knowledge. These tools enable users to generate content, images, or text through simple commands or prompts.
However, for those looking to customize or build their own Generative AI models, coding is typically required. This may involve knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch. Understanding coding can also help in fine-tuning models, integrating AI into larger systems, or creating uniquely tailored applications.
Bottom line, while coding can enhance the scope of possibilities, it is not usually necessary for leveraging Generative AI's capabilities as an end user.
Absolutely, anyone with interest and dedication can learn AI. While having a background in mathematics, programming, or data science can be advantageous, they are not strict prerequisites. Numerous online courses, tutorials, and resources are available to cater to learners of all levels, from beginners to advanced practitioners. The key lies in starting with fundamental concepts, such as understanding algorithms and machine learning basics, and gradually advancing to more complex topics. With consistent effort, anyone can develop the skills required to explore and contribute to the exciting field of AI.
Deciding whether to pursue an AI course ultimately depends on your goals, interests, and career aspirations. AI is one of the fastest-growing fields, with applications spanning industries such as healthcare, finance, entertainment, and more. Taking a course can be a valuable investment, equipping you with the knowledge and skills to tap into these opportunities. Furthermore, structured courses often provide hands-on projects, mentorship, and certifications that can enhance your resume and increase your credibility in the job market.
However, it’s important to assess the quality of the course and its relevance to your objectives. A well-structured AI course should provide a balance of theoretical knowledge, like understanding algorithms or neural networks, and practical experience with tools such as TensorFlow or PyTorch. Whether you aim to transition into a career in AI, enhance your current role, or simply satiate your curiosity, an AI course can offer significant value when aligned with your ambitions and commitment to learning.
A: Many of Excel's features and functions are powered by artificial intelligence (AI) or have AI-like capabilities. These tools work to process large amounts of data for users, streamline workflows, and increase accuracy. Some of the best applications of AI in Excel include data analysis, data visualization, and formula generation, but it can also supercharge basic functions. Copilot allows users to harness the power of AI through prompts to provide relevant suggestions and shortcuts. Additionally, ChatGPT can be integrated with the program through the use of an add-on or used in tandem with Excel.
Certstaffix Training provides AI classes near me or online, depending on the number of students involved. We offer online courses for individual learners, as well as in person classes at your office for corporate groups. Our trainers are highly experienced professionals with the expertise necessary to help you gain a thorough understanding of AI concepts and tools. With our courses available online for individuals or in person for corporate groups, it's easy to develop your AI skills. Start learning today and see how Certstaffix Training can help you reach your goals.