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What you'll learn ✓ Apply your skills to recognize real-world generative AI uses and identify generative AI models and tools for text, code, image, audio, and video. ✓ Explain generative AI prompt engineering concepts, examples, and common tools and learn techniques needed to create effective, impactful prompts. ✓ Implement data engineering processes such as data warehouse schema design, data generation, augmentation and anonymization using generative AI tools ✓ Evaluate real-world case studies showcasing the successful application of generative AI for ETL and data repositories

What you'll learn Identify real-world generative AI uses and describe popular generative AI models and tools for text, code, image, audio, and video Explain generative AI prompt engineering concepts, examples, and common tools and learn techniques needed to create effective, impactful prompts Learn about tools and techniques to generate code snippets, scripts, test cases, and applications using generative AI models Develop innovative software engineering solutions using AI-powered tools and LLMs

What you'll learn ✓ Apply skills to recognize real-world generative AI uses and identify popular generative AI models and tools for text, code, image, audio, and video ✓ Understand generative AI prompt engineering concepts, examples, and common tools and learn techniques to create effective, impactful prompts ✓ Learn how to identify appropriate generative AI tools for data science use cases ✓ Apply generative AI prompt techniques to generate and augment datasets and to develop and refine machine learning models

What you'll learn ✓ Explain the fundamental concepts, capabilities, models, tools, applications, and platforms of generative AI foundation models. ✓ Apply powerful prompt engineering techniques to write effective prompts and generate desired outcomes from AI models. ✓ Discuss the limitations of generative AI and explain the ethical concerns and considerations for the responsible use of generative AI. ✓ Recognize the ability of generative AI to enhance your career and help implement improvements at your workplace.

What you'll learn ✓ Gain foundational knowledge, practical skills, and a functional understanding of how generative AI works ✓ Dive into the latest research on Gen AI to understand how companies are creating value with cutting-edge technology ✓ Instruction from expert AWS AI practitioners who actively build and deploy AI in business use-cases today

Launch your career as an AI Product Manager. Build in-demand product management and generative AI skills to get job ready in 6 months or less. What you'll learn - Apply key product management skills, tools, and techniques to engage and manage key stakeholders and clients - Develop a working knowledge of Agile and adaptive methodologies used to expedite product solutions to market - Evaluate real-world case studies showcasing the successful integration of AI into existing product management systems - Demonstrate the skills and tools knowledge required to be a successful AI Product Manager

Advance your subject-matter expertise - Learn in-demand skills from university and industry experts - Master a subject or tool with hands-on projects - Develop a deep understanding of key concepts - Earn a career certificate from IBM

Advance your subject-matter expertise - Learn in-demand skills from university and industry experts - Master a subject or tool with hands-on projects - Develop a deep understanding of key concepts - Earn a career certificate from IBM

✓ Job-ready AI skills in just 6 months, plus practical experience and an industry-recognized certification employers are actively looking for ✓ The fundamental concepts, key terms, building blocks, and applications of AI, encompassing generative AI ✓ How to build generative AI-powered apps and chatbots using various programming frameworks and AI technologies ✓ How to use Python and Flask to develop and deploy AI applications on the web

✓ You will use the fundamentals of Generative AI to practice creating logos marketing content and services. ✓ You will learn how to review and deploy a chatbot for marketing and customer service. ✓ You will learn how to implement an AI Marketing strategy and how to navigate the various strategic internal and external considerations.

This intensive course on AI Robotics is designed to immerse participants in the cutting-edge field of robotics, blending foundational knowledge with practical, hands-on exercises. Learners will explore the crucial intersection of hardware and software, understanding how AI connects to robotics and the current landscape. Participants will comprehensively understand how robots perceive and interact with their environment. Practical skills are a cornerstone of this learning experience; students will engage in exercises that mimic real-world robotics challenges, gaining hands-on experience integrating AI solutions into robotic hardware. Leveraging the insights from a comprehensive survey of over 350 research papers and current market analysis, including advancements by companies like OpenAI, Amazon, Boston Dynamics, and Tesla, the course is structured to provide both theoretical knowledge and practical applications. The curriculum also includes creating simulations on cloud platforms for accelerated model training, offering an excellent opportunity to engage with the material actively and envision the future trajectory of AI in robotics.

The course is a three-day comprehensive program designed to introduce software developers to the world of cutting edge AI systems and AI-enhanced development. The program is designed to equip AI enthusiasts with an in-depth understanding of AI assistants, their functionalities, and their transformative potential in optimizing workflows and business processes. Participants will gain a thorough understanding of the AI landscape, delve into the intricacies of prompt engineering, and explore practical AI applications through hands-on exercises and real-world case studies. The course further explores advanced prompt engineering and a tour of the Copilot ecosystem. Participants will engage in hands-on exercises that demonstrate AI's potential in enhancing ideation, proof-of-concept creation, coding, software robustness, and debugging. It also provides an introduction of training a neural network with exercises, and a comparative study of different Large Language Models (LLMs), equipping participants with the knowledge to choose the most suitable model for their needs. Incorporating LLMs into an application forms a significant part of the learning, along with an overview of AI security. It ensures that developers understand the AI threat landscape and are equipped with strategies to mitigate potential risks, making this course a comprehensive guide to integrating AI into both the product and the processes.