This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about generative AI and leveraging its capabilities in their work and lives. This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs). In this course, you will learn about the fundamentals and evolution of generative AI. You will explore the capabilities of generative AI in different domains, including text, image, audio, video, virtual worlds, code, and data. You will understand the applications of generative AI across different sectors and industries. You will learn about the capabilities and features of common generative AI models and tools, such as GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through IBM Generative AI Classroom and popular tools like ChatGPT. You will also hear from the practitioners about the capabilities, applications, and tools of generative AI.

As generative AI (GenAI) continues to reshape the workplace and redefine job roles, the ability to use it effectively is becoming a must-have skill. Prompt engineering is the key to effectively guiding GenAI models and controlling their output to produce desired results. This course is designed for professionals, executives, students, and AI enthusiasts who want to ​​leverage the power of prompt engineering to maximize the capabilities of GenAI tools like ChatGPT. You’ll learn practical techniques, structured approaches, and best practices for crafting effective prompts​.​ Explore core prompting techniques like zero-shot and few-shot to enhance the reliability and quality of large language model (LLM) outputs. Learn practical approaches such as the Interview Pattern, Chain-of-Thought, and Tree-of-Thought to generate more accurate responses. Gain hands-on experience with advanced methods like multimodal prompting, the playoff method, and image generation techniques. Learn to craft prompts that blend text and visuals and evaluate AI responses more effectively. The techniques and approaches are taught using hands-on labs and projects using real-world-inspired examples. You will also hear from practitioners about the techniques and approaches used in prompt engineering and the art of writing effective prompts.

Generative AI (GenAI) is transforming program management, enabling program managers to make smarter decisions, reduce risks, and drive strategic value more effectively. Professionals with job-ready GenAI skills now instantly stand out to recruiters!In this course, you’ll explore how GenAI can transform program management tasks, plus how it aligns with latest edition of PMI’s Standard for Program Management. You’ll learn how AI can help you negotiate the program lifecycle across three key phases. For the Program Definition phase, you’ll learn how AI enhances stakeholder analysis, business case validation, and benefits identification. In the Program Delivery phase, you’ll see how AI-driven governance, risk management, and real-time insights optimize execution. Then in the Program Closure phase, you’ll learn how AI facilitates lessons learned analysis, impact assessments, and knowledge transfer. Additionally, you’ll explore ethical AI implementation, risk mitigation strategies, and responsible AI governance in program management. In this course, you’ll get hands-on experience with GenAI tools to create key deliverables essential for program success. In the final project, you’ll leverage GenAI to create artifacts required to complete each phase of the program lifecycle. If you’re keen to seamlessly integrate GenAI into your program management practices, drive efficiency, and ensure long-term program success, enroll today!