Artificial Intelligence

Will KurtDeepLearning.AI

In this course, you will gain a comprehensive understanding of structured outputs and their significance in software development. You will learn to generate structured outputs using APIs, re-prompting libraries, and constrained decoding. The course includes practical applications like building a social media agent and using Pydantic for defining structured outputs. By the end, you will be equipped with the knowledge to implement structured outputs in your LLM applications, enhancing your ability to develop scalable and efficient software solutions.

Cecilia ZinitiMaven

In this course, you'll master advanced AI prompting techniques tailored for legal professionals. You'll learn how large language models operate, their strengths and weaknesses, and how to structure prompts for complex legal tasks. By the end of the course, you'll be able to build repeatable legal workflows with AI, enhancing your efficiency and accuracy in legal tasks.

Sebastian WitalecDeepLearning.AI

This course provides a comprehensive understanding of building multimodal search and RAG systems, focusing on the integration of various data types like text, images, and video into AI models. You will learn about contrastive learning for training multimodal models, visual instruction tuning, and the implementation of multi-vector recommender systems that enhance the capabilities of AI applications in industry settings.

Colin JarvisDeepLearning.AI

In this course, you will explore the capabilities of OpenAI's o1 model, known for its record-breaking performance in reasoning tasks. You'll learn about reinforcement learning, chain-of-thought prompting, and meta-prompting techniques. The course covers practical applications, including coding and image understanding, and provides insights into optimizing AI models for complex reasoning tasks.

Antje BarthDeepLearning.AI

This course provides a comprehensive understanding of generative AI, covering key steps in a typical LLM-based generative AI lifecycle, from data gathering and model selection to performance evaluation and deployment. You will learn about the transformer architecture, empirical scaling laws, and state-of-the-art training, tuning, inference, tools, and deployment methods. The course also discusses the challenges and opportunities that generative AI creates for businesses, with insights from industry researchers and practitioners.

Theresa FesinstineMaven

In this course, you will delve deep into AI and Generative AI, exploring their transformative potential in HR. You will gain hands-on experience with AI tools, learn to integrate them into HR processes, and develop effective AI strategies. The course will also cover monitoring and measuring AI performance to ensure continued relevance and effectiveness.

Harrison ChaseDeepLearning.AI

In this course, you will delve into the fundamentals of data loading, document splitting, vector stores, and embeddings. You will learn advanced techniques for data retrieval and build a one-pass question-answering solution. By the end of the course, you will be able to create a chatbot that interacts with data using LangChain and LLMs.

Marcello RestelliCoursera

Dive into the world of artificial intelligence with this beginner-friendly specialization. Through five courses, you'll explore the technical foundations of AI, including machine learning and technologies, as well as ethical and legal considerations. Learn from experts and gain the skills needed to start building your own AI projects. This course is perfect for those looking to understand AI's current landscape and future potential.