Generative AI Certified Associate validates your knowledge of generative artificial intelligence, covering its fundamentals, real-world applications, leading tools and technologies, ethical and responsible use, future trends, and practical hands-on projects.

• Fundamentals of Generative AI: Understand the basic principles, history, and evolution of generative artificial intelligence, including core concepts of machine learning and deep learning that are applied to generative AI.
• Applications of Generative AI: Explore the wide range of applications for generative AI, including text generation, image creation, music composition, and video editing, and learn how these technologies are being applied in various industries.
• Generative AI Tools and Technologies: Get hands-on experience with the leading tools and technologies in the field, such as TensorFlow, PyTorch, and Keras, and understand how to leverage these for developing AI solutions.
• Ethical and Responsible Use of Generative AI: Delve into the ethical considerations, potential biases, and responsible practices essential for applying generative AI, ensuring that solutions are fair, transparent, and respect user privacy.
• Future Trends in Generative AI: Stay ahead of the curve by examining the latest advancements and emerging trends in generative AI, preparing for how these innovations will shape the future landscape.
• Practical Projects and Case Studies: Apply your knowledge through hands-on projects and analyze real-world case studies to understand the practical challenges and solutions in generative AI.

The “Generative AI Certified Associate – GAIC” certification is designed for a wide range of professionals and students interested in generative AI, including IT professionals, data engineers, machine learning specialists, academics, researchers, and advanced students in computer and technology-related fields.

No prior certifications are required to enroll in the Generative AI certification, although basic knowledge of software development and programming is recommended for a better understanding of the technical concepts discussed.

• Exam Name: Generative AI Certified Associate – GAIC
• Exam Format: Multiple-Choice questions
• Exam Delivery: Web-based (single browser), closed book, no outside assistance, timed
• Exam Duration: Once the exam begins, students have 60 minutes to complete the exam
• Number of Questions: 40
• Passing Score: 65%
• Available Languages: English and Spanish