In this introductory session, participants will dive into the world of Generative AI. The course will highlight the reasons behind the growing buzz and maturity of generative technologies and discuss common applications that are  transforming the marketing landscape. The module will provide an overview of major players in the field, showcasing how their innovations are  shaping the industry. Then participants will explore the wide array of generative AI tools available for various creative  applications. They will be introduced to tools specifically designed for 3D, video, text, image, and music & audio content generation. By understanding the capabilities and limitations of these tools, participants will be better equipped to select the most appropriate solutions for their unique needs and objectives

    Learning goals

• AI versus Generative AI
• Why the Buzz & Maturity
• Common applications
• 3D based tools, Video based tools, Text based tools, Image based tools, Music & Audio based tools

    How this will help you

After completing this session, participants will be equipped with the foundational knowledge needed to make informed decisions about integrating  generative AI into their marketing and creative processes. They will be able to recognize opportunities to leverage generative AI technologies to drive  innovation, improve efficiency, and create novel content, giving them a competitive edge in the rapidly evolving landscape of AI-driven marketing. Participants will have a solid understanding of the diverse generative AI tools available to them, empowering them to select the most suitable solutions for their specific projects. By incorporating these tools into their creative and marketing processes, they can elevate the quality and impact of their work, driving innovation and fostering a culture of experimentation and growth within their organizations.

In this session, participants will dive into the art and science of prompt engineering, an essential skill for working with generative AI models. They will learn about Integrated Development Environment (IDE) tools specifically designed for prompt engineering, as well as techniques for crafting effective prompts for large language models and image generation. By mastering prompt engineering, participants can harness the full potential of generative AI to create high-quality, relevant content for their creative needs.

    Learning goals

• Prompt Engineering for Large Language Models
• Prompt Engineering for Images
• IDE Tools for Prompt Engineering

    How this will help you

By the end of this session, participants will have a strong understanding of the fundamentals of prompt engineering and how to create effective prompts   

for generating outputs from large language models and images. This knowledge can be applied in various areas, such as content generation, creative   

writing, advertising, and social media marketing. Participants will have the tools and skills to create compelling and engaging content that resonates with  their target audience.

In this engaging session, participants will learn how to understand their audiences at psychographic level by using principal component analysis (PCA), a powerful dimensionality reduction technique, to uncover psychographic insights about their audience. By understanding the full process of PCA, participants will be able to transform complex data into meaningful and actionable psychographic profiles.

    Learning goals

• Learn the full process to uncover psychographics
• Understand dimensionality reduction techniques: Participants will be introduced to the concept of dimensionality reduction
• Master PCA naming conventions
• How to leverage the insights in your creative endeavours

    How this will help you

Upon completing this session, participants will have gained the knowledge and skills required to use PCA to uncover psychographic insights effectively. They will be able to leverage these insights to create more targeted and relevant content, ultimately leading to improved customer engagement and conversions. By incorporating psychographic data into their creatives strategies, participants can better understand and cater to their audience's unique needs and preferences, resulting in more impactful and successful initiatives.

In this insightful session, participants will explore copyright considerations and responsible AI practices in the context of building their own models. They will learn about the importance of training and be introduced to various tools and techniques, such as Lora, DreamBooth, Textual Inversion, and ControlNet conditioning. Participants will also gain hands-on experience in training and fine-tuning AI models, ensuring that their models are both effective and ethical.

    Learning goals

• Understand why training is important and explore various AI tools
• Learn how to train a model
• Learn how to fine-tune a model

    How this will help you

Upon completing this session, participants will be well-equipped to build their own AI models while considering copyright and ethical implications. They will have a solid understanding of various AI tools and techniques, as well as hands-on experience in training and fine-tuning models. By applying responsible AI practices, participants will be able to create AI-driven tools that are not only effective but also ethically responsible and respectful of copyright considerations, ensuring their models comply with legal and ethical guidelines and contribute positively to their marketing and business efforts.