AI Courses by Codecademy
Browse AI Courses by Codecademy:
Codecademy
Learn How to Use ChatGPT
In this introductory course on ChatGPT, you’ll explore how large language models power generative AI tools and discover various applications, from enhancing productivity at work to streamlining personal tasks. You’ll learn the fundamentals of prompt engineering, enabling you to write effective instructions for ChatGPT, and gain hands-on experience in crafting and refining prompts to achieve desired outcomes.
Intro to Generative AI
This course explores the rapidly advancing field of Artificial Intelligence, focusing on generative AI, which creates new content like text, images, audio, and videos. You will learn about the various types of generative AI and examine the ethical considerations surrounding its use. Interactive applets will enhance your understanding of these concepts.
Data and Programming Foundations for AI
This Skill Path provides a foundational understanding necessary to become a Machine Learning Engineer, covering essential topics such as data literacy, programming, mathematics, statistics, and visualization. You’ll learn to code in Python, explore and summarize data, and understand the mathematical principles behind machine learning and AI.
Learn How to Use AI for Coding
This course teaches you how to effectively use ChatGPT for coding by focusing on prompt engineering tailored for software development. You will learn to generate Bash commands, create regular expressions, and produce database queries, as well as develop classes and unit tests for code quality. Additionally, the course covers code refactoring to enhance readability and maintainability.
Learn Prompt Engineering
In this course, you’ll learn to create effective AI prompts to enhance your interactions with systems like ChatGPT and Gemini. You’ll discover how to prepare for AI interactions, break tasks into manageable parts, and apply various prompting techniques, including zero-shot, one-shot, few-shot, and chain of thought prompting.
Learn Explainable AI
In this course, you will learn about explainable AI (XAI) and how to interpret machine learning models, ranging from linear regression to neural networks. You will explore techniques for analyzing feature importance, visualizing decision-making processes, and enhancing AI transparency through methods like SHAP and LIME. By the end, you will be equipped to understand model coefficients, evaluate feature reliance, and provide clear explanations for model predictions.
Generative AI for Everyone
In this skill path, you will explore generative AI, including its definition, functionality, and effective usage through prompt engineering. You will also examine the ethics surrounding generative AI and engage in various projects to reinforce your understanding. By the end, you’ll have a comprehensive grasp of generative AI and its applications.
Intro to AI Strategy
This course focuses on the powerful capabilities of generative AI while addressing the inherent risks associated with its implementation. You will learn to identify six common AI pitfalls and develop effective strategies to mitigate these risks, ultimately enabling you to create responsible AI solutions.
AI-900: Azure AI Fundamentals
The AI-900: Microsoft Azure AI Fundamentals certification path is intended for individuals seeking to establish a foundational understanding of artificial intelligence (AI) and machine learning (ML) concepts, particularly in the context of Microsoft Azure services. This course is suitable for beginners and covers the basics of AI, its applications, and essential Azure AI services, requiring no extensive technical background. Upon completion, participants will be prepared to take the AI-900: Azure AI Fundamentals exam.
Learn How to Use AI for Data Analysis
In this course, you will learn to leverage AI models such as ChatGPT and Gemini to enhance your Python-based data analytics, whether you’re a professional analyst or simply working with data. You’ll gain skills in crafting effective prompts for data analysis, brainstorming ideas with AI, and recognizing common pitfalls to avoid.
Learn How to Use AI for Marketing
This course explores the application of generative AI in marketing, focusing on tools like ChatGPT and Midjourney. You will learn prompt engineering techniques to create engaging marketing copy and generate images for campaigns. Additionally, the course provides practical experience in writing, testing, and refining prompts while highlighting common pitfalls to avoid in AI marketing.
Learning Django Using Generative AI Help
This course offers an introduction to Django, a high-level web framework for building scalable applications with Python. You will learn the model-template-view (MTV) architecture, set up a Django project, create a basic app, and incorporate HTML and CSS into your application. Additionally, the course will cover using generative AI tools to assist with development and address common challenges encountered during the process.