Unlock the Power of Generative AI

What you'll learn: Understand the fundamental concepts of Generative AI, its history, and its transformative potential. Explore core ideas like Large Language Models (LLMs), diffusion models, and GANs (Generative Adversarial Networks).

• Defining Generative AI and its categories.
• Key milestones and breakthroughs in the field.
• Differentiating between AI, Machine Learning, Deep Learning, and Generative AI.
• Common applications: text generation, image synthesis, code creation.
• Future outlook and emerging trends.

What you'll learn: Master the art and science of crafting effective prompts to guide Generative AI models. Learn techniques to elicit desired outputs, control style, and improve accuracy for various tasks.

• The role of prompts in interacting with AI models.
• Zero-shot, one-shot, and few-shot prompting.
• Techniques for clarity, context, and constraint in prompts.
• Advanced prompting: chain-of-thought, self-consistency, tree-of-thoughts.
• Debugging and refining prompts for optimal results.
• Ethical considerations in prompt design.

What you'll learn: Get an overview of the leading Generative AI models (like GPT series, DALL-E, Stable Diffusion, Midjourney) and the platforms where you can access and utilize them (e.g., OpenAI API, Hugging Face, cloud AI services).

• Overview of prominent LLMs (e.g., GPT-3/4, PaLM, LLaMA).
• Understanding image generation models (e.g., DALL-E 2/3, Stable Diffusion, Midjourney).
• Exploring multimodal models.
• Introduction to APIs and SDKs for model integration.
• Cloud platforms offering Generative AI services (AWS, Google Cloud, Azure).
• Open-source communities and resources.

What you'll learn: Critically examine the societal impact, ethical challenges, and potential risks associated with widespread adoption of Generative AI. Discuss responsible AI development and deployment.

• Bias in training data and model outputs.
• Misinformation, disinformation, and deepfakes.
• Intellectual property and copyright concerns.
• Job displacement and the future of work.
• Privacy and data security issues.
• Frameworks for responsible AI and ethical guidelines.

What you'll learn: Discover how Generative AI can be leveraged to create new business opportunities, enhance existing processes, and open up new career paths. Learn to identify use cases and implement AI strategies.

• Identifying business use cases for Generative AI (marketing, customer service, product development).
• Strategies for integrating AI into business workflows.
• Developing AI-powered products and services.
• New and evolving job roles in the AI era.
• Skills needed for a career in Generative AI.
• Case studies of successful AI implementation.