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Are you excited to dive into the groundbreaking world of AI without having to deal with complex coding?

Welcome to "Generative AI" a course designed for forward-thinkers and trailblazers. This exceptional program simplifies the intricacies of generative AI, providing a deep understanding and hands-on experience with cutting-edge tools.

DALL·E: Redefining Conversational AI

In this course, we explore the wonders of DALL·E, the latest advancement in creative AI from OpenAI. You'll uncover how DALL·E revolutionizes text generation, making it invaluable for businesses, creatives, and developers.

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Are you excited to dive into the groundbreaking world of AI without having to deal with complex coding?

Welcome to "Generative AI" a course designed for forward-thinkers and trailblazers. This exceptional program simplifies the intricacies of generative AI, providing a deep understanding and hands-on experience with cutting-edge tools.

DALL·E: Redefining Conversational AI

In this course, we explore the wonders of DALL·E, the latest advancement in creative AI from OpenAI. You'll uncover how DALL·E revolutionizes text generation, making it invaluable for businesses, creatives, and developers.

Learn to utilize advanced natural language processing for tasks like automated customer service and content creation.

Understand the ethical considerations and best practices in deploying conversational AI responsibly.

Unlock the art of crafting Custom DALL·E models without any coding hassle.

Adobe's Gen AI: Igniting Creative Sparks

Adobe's Gen AI, another highlight of our course, empowers creative professionals with its innovative features. This groundbreaking platform streamlines design processes and expands creative possibilities.

Discover how Gen AI can enhance your workflow, from image editing to design generation.

Engage in hands-on projects to create captivating visuals and streamline design tasks effortlessly.

Who can benefit from this course?

Business Leaders and Innovators: Learn to leverage AI for strategic advantages and innovative solutions.

Creative Professionals: Explore how AI can amplify your creative process, from design to content creation.

Tech Enthusiasts and Educators: Stay ahead of AI advancements and their applications across industries.

Students and Lifelong Learners: Gain a competitive edge in your career with cutting-edge AI knowledge.

What will you master?

Custom DALL·E Creation: Become proficient in developing personalized AI models without coding.

Adobe AI Proficiency: Dive deep into Adobe's AI capabilities and their transformative potential.

Gen AI Mastery: Get hands-on with Adobe's Gen AI to enhance your creative projects.

Real-world Applications: Discover practical uses of AI tools across business, education, and creative fields.

Future Trends: Stay updated on the latest developments and possibilities in generative AI.

Our course structure combines theory with practical exercises, ensuring you can apply your knowledge effectively. With interactive sessions, live demos, and project-based learning, you'll learn by doing.

Why choose our course?

Expert Instruction: Learn from industry leaders with extensive AI experience.

Flexible Learning: Access course materials anytime, anywhere, to fit your schedule.

Community and Networking: Connect with like-minded individuals and expand your professional circle.

Cutting-Edge Curriculum: Stay updated with the latest AI advancements.

Anyone keen on harnessing Gen AI in their endeavors is welcome.

By the end of the course, you'll possess not only technical expertise but also a strategic mindset to implement AI in your business or creative ventures. Prepare to emerge as a leader poised to make a significant impact in the AI-driven landscape.

Ready to lead the AI revolution?

Enroll now

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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores cutting-edge advancements in generative AI and its applications in various fields
Provides hands-on experience with DALL·E and Adobe Gen AI, equipping learners with practical skills
Guides learners in mastering DALL·E creation without coding, expanding their technical capabilities
Highlights the innovative capabilities of Adobe Gen AI, empowering creative professionals to enhance their workflow
Offers tangible benefits for business leaders, creative professionals, tech enthusiasts, and students seeking an edge in the AI landscape

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Generative AI: Artificial General Intelligence with these activities:
Review the basics of machine learning
A solid foundation in machine learning will help you better understand the underlying principles of generative AI.
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  • Review key concepts such as supervised and unsupervised learning, model evaluation, and feature engineering.
  • Solve practice problems and exercises to reinforce your understanding.
  • Optional: Complete an online course or tutorial on machine learning fundamentals.
Read 'The Algorithmic Imagination' by José van Dijck
This book provides a comprehensive overview of the social and cultural impact of AI, including its potential to shape our imagination and creativity.
Show steps
  • Read the book and critically evaluate its arguments.
  • Identify key concepts and theories related to generative AI.
  • Reflect on the implications of AI for your own field of study or work.
Complete tutorials on how to create custom DALL-E models
Hands-on practice with creating custom DALL-E models will solidify your understanding of its capabilities and limitations.
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  • Identify online tutorials or courses that provide step-by-step instructions on building custom DALL-E models.
  • Follow the tutorials carefully and implement the techniques in your own projects.
  • Experiment with different parameters and settings to observe their impact on the quality of the generated images.
Five other activities
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Write a blog post about your experience using Adobe's Gen AI
Writing a blog post will allow you to reflect on your learning and share your insights with others.
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  • Identify the key benefits and drawbacks of Adobe's Gen AI.
  • Share specific examples of how you used Gen AI to enhance your creative process.
  • Discuss the potential impact of AI on the future of creative industries.
Join a study group to discuss the ethical considerations of generative AI
Engaging in discussions with peers will help you develop a deeper understanding of the ethical implications of generative AI.
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  • Find a study group or online forum where you can connect with other learners.
  • Identify specific ethical concerns related to generative AI, such as bias, privacy, and the potential for misuse.
  • Share your perspectives and engage in thoughtful discussions with your peers.
Build a chatbot with DALL-E API
Building a chatbot will allow you to apply your knowledge of DALL-E and conversational AI to create a practical application.
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  • Design your chatbot's functionality and user interface.
  • Implement the DALL-E API to generate images based on user input.
  • Train your chatbot on a dataset of conversations.
  • Test and refine your chatbot's performance.
Design a marketing campaign that leverages the capabilities of generative AI
Creating a marketing campaign will challenge you to think strategically about how generative AI can be used to enhance marketing efforts.
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  • Research and identify specific ways in which generative AI can add value to your marketing campaign.
  • Develop a creative concept and strategy that leverages the strengths of generative AI.
  • Create high-quality content using generative AI tools, such as images, videos, or text.
  • Monitor and evaluate the performance of your campaign and make adjustments as needed.
Contribute to an open-source generative AI project
Contributing to an open-source project will allow you to gain hands-on experience and learn from other developers in the field.
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  • Identify an open-source generative AI project that aligns with your interests and skills.
  • Review the project documentation and codebase.
  • Identify a specific area where you can make a meaningful contribution.
  • Implement your changes and submit a pull request.

Career center

Learners who complete Generative AI: Artificial General Intelligence will develop knowledge and skills that may be useful to these careers:
AI Researcher
AI Researchers explore the theoretical and practical aspects of artificial intelligence, pushing the boundaries of machine learning, natural language processing, and other AI subfields. This course may be useful for aspiring AI Researchers as it provides a solid understanding of generative AI, a rapidly developing field.
UX Designer
UX Designers focus on enhancing the user experience of digital products, ensuring that they are easy and enjoyable to use. This course can be beneficial for aspiring UX Designers as it introduces them to the capabilities of generative AI, which can greatly improve user interfaces, streamline design processes, and enhance the overall user experience.
Graphic designer
Graphic Designers create visual concepts and execute them across various media, including print, web, and social media. This course may be useful for aspiring Graphic Designers as it provides hands-on experience with Adobe's Creative Suite, a widely used tool in the industry. Additionally, it covers the applications of generative AI in graphic design, helping them enhance their creativity and efficiency.
Content Creator
Content Creators generate and publish content for various platforms, including websites, social media, and print publications. This course may be useful for aspiring Content Creators as it covers the use of generative AI in content creation, providing them with the skills to create engaging and high-quality content.
Software Engineer
Software Engineers build and maintain the software that powers our world, ranging from web applications to operating systems. While some knowledge of programming is required, this course provides a valuable foundation in the principles and applications of generative AI, which is becoming increasingly important in the tech industry.
Data Analyst
Data Analysts collect, clean, and analyze data to provide insights and support decision-making. This course may be useful for aspiring Data Analysts as it covers the use of generative AI in data analysis, enabling them to automate tasks, improve data quality, and uncover hidden patterns.
Technical Writer
Technical Writers create and maintain documentation for software, hardware, and other technical products. This course may be useful for aspiring Technical Writers as it provides insights into the use of generative AI in natural language processing, enabling them to automate tasks such as content generation, grammar checking, and style analysis.
Instructional Designer
Instructional Designers create and develop learning materials and programs. This course may be useful for aspiring Instructional Designers as it provides insights into the applications of generative AI in education, enabling them to create engaging and effective learning experiences.
Data Scientist
Data Scientists use their knowledge of mathematics, statistics, and programming to extract insights from data, guiding business decisions and product development. This course may be useful for aspiring Data Scientists as it covers the use of Generative AI in natural language processing, which can be beneficial for tasks like data analysis, automated customer service, and content generation.
Cybersecurity Analyst
Cybersecurity Analysts protect computer systems and networks from cyberattacks. This course may be useful for aspiring Cybersecurity Analysts as it provides insights into the applications of generative AI in cybersecurity, enabling them to detect and respond to threats more effectively.
Digital Marketing Specialist
Digital Marketing Specialists use their knowledge of digital marketing channels to promote brands, products, and services. This course may be useful for those who want to enter this field, as it provides insights into the applications of generative AI in digital marketing, such as content creation, automated customer service, and personalized marketing campaigns.
Business Analyst
Business Analysts analyze business needs and develop solutions to improve efficiency and productivity. This course may be useful for aspiring Business Analysts as it provides insights into the applications of generative AI in the business world, enabling them to identify opportunities for process optimization and data-driven decision-making.
Product Manager
Product Managers are responsible for the development, launch, and success of a product, working closely with engineers, designers, and marketers. This course may be useful for aspiring Product Managers, as it provides insights into the applications of generative AI and Adobe's Creative Suite, which can enhance product design, marketing, and customer engagement.
Salesforce Administrator
Salesforce Administrators implement and maintain Salesforce software, a leading customer relationship management (CRM) platform. This course may be useful for aspiring Salesforce Administrators as it provides insights into the applications of generative AI in CRM, enabling them to automate tasks, improve data quality, and enhance customer experiences.
Machine Learning Engineer
Machine Learning Engineers primarily focus on the engineering and implementation of machine learning algorithms and models, improving the performance of existing ones and developing new ones. This course may be useful for those wishing to enter this field as it provides a strong foundation in the principles of generative AI, natural language processing, and the Adobe Creative Suite.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Generative AI: Artificial General Intelligence.
Provides a comprehensive overview of computer vision, which generative AI models are often used for.
Provides a comprehensive overview of speech and language processing, which generative AI models are often used for.
Provides a comprehensive overview of machine learning for computer vision, which generative AI models are often used for.
Provides a comprehensive overview of deep learning for natural language processing, which generative AI models are often used for.
Provides a comprehensive overview of robotics, vision, and control, which generative AI models are often used for.

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