Explore Artificial Intelligence (AI) topics with LinkedIn Learning
Introduction
Artificial intelligence (AI) is a field of computer science that aims to create machines and systems that can perform tasks that normally require human intelligence. Whether you want to explore the fundamentals, applications, or ethics of AI, you can find courses here that challenge and inform you. Develop your skills in programming, data analysis, machine learning, computer vision, natural language processing, and more.
Artificial Intelligence Foundations: Machine Learning
Machine learning is the most exciting branch of artificial intelligence. It allows systems to learn from data by identifying patterns and making decisions with little to no human intervention. In this course, you’ll navigate the machine learning lifecycle by getting hands-on practice training your first machine learning model. Join instructor Kesha Williams as she explores widely adopted machine learning methods: supervised, unsupervised, and reinforcement. There’s a focus on sourcing and preparing data and selecting the best learning algorithm for your project. After training a model, learn to evaluate model performance using standard metrics. Finally, Kesha shows you how to streamline the process by building a machine learning pipeline. If you’re looking to understand the machine learning lifecycle and the steps required to build systems, check out this course.
Getting Started with AI and Machine Learning
Dive into the dynamic field of AI and machine learning with this comprehensive learning path. Gain essential insights into image processing, reinforcement learning, and neural networks while mastering tools like Python, OpenCV, PyTorch, and Keras. Implement powerful algorithms, construct efficient machine learning models, and apply innovative technologies across various sectors. Start upskilling today to become an adept machine learning engineer or data scientist.
Getting Started with Custom GPTs, Copilots, and AI Agents
Creating custom AI tools has become a game-changer for productivity and innovation—no coding required! Use custom GPTs, Copilots, and AI agents to streamline daily tasks, for your company’s internal use, or by publishing them for external use. In this learning path, learn the principles of building different types of custom AI tools, how to integrate your data to train the tool, and how to maintain tools effectively.
Introduction to Generative AI with GPT
Generative Pre-trained Transformer 4 (GPT-4) represents a leap in artificial intelligence. It is a hot topic in technology and, to a degree, in society as a whole. As an autoregressive language model, GPT-4 uses deep learning to produce human-like text. In this course, award-winning technology leader Dr. Jonathan Reichental focuses on the role of artificial intelligence in business, with particular emphasis on GPT-4. Get some background and history on AI and OpenAI. Explore what GPT-4 is, as well as some examples of its applications. Dive into some of the challenges and limitations of GPT-4 and AI, in general. Plus, get practical advice on skills and careers in AI, and identify steps you and your organization can take next.
What Is Generative AI?
Whether you work in film, marketing, healthcare, automobile, or real-estate, generative AI is changing the way your job is executed, and those who adapt early will reap its benefits sooner. All professions will be affected by generative AI. Its invention can be compared to the invention of photography, a true creative revolution. If you want to be part of the leaders that are advancing this revolution, this course can get you started on your learning journey. In this course, generative AI expert Pinar Seyhan Demirdag covers the basics of generative AI, with topics including what it is, how it works, how to create your own content, different types of models, future predictions, and ethical implications.