Best AI Tools for Students 2026

University of Michigan (via Coursera) · Python Programming

In “Applied Information Extraction in Python,” you will learn how to extract useful information from free-text data, which is a type of string data created when people type. Examples of free-text data include names of people or organizations, location information such as cities and zip codes, or other elements like stock prices or clinical diagnoses. Free-text data is found everywhere, from magazine articles to social media posts, and can be complex to analyze. In this course, you’ll use applied machine learning and text-mining techniques to analyze free-text data. You will learn how to identify named entities and tag them with appropriate types of classifications, using real-world data from business, politics, and healthcare. You’ll develop multiple approaches to recognize and extract named entities and attributes of interest from free-text data, ranging from regular expressions to neural network models. Finally, you’ll explore Transformer models such as ChatGPT and Large Language Models to extract information from large datasets. This is the final course in “More Applied Data Science with Python,” a four-course series focused on helping you apply advanced data science techniques using Python. It is recommended that all learners complete the following courses from the Applied Data Science with Python Specialization: Introduction to Data Science in Python, Applied Machine Learning in Python, and Applied Text Mining in Python.

Coursera · Generative AI & LLMs

This Guided Project, led by Anthea Variend, an expert in Marketing Campaign Strategy, is designed to help marketing professionals, small business owners, and communications teams use GenAI and HubSpot to develop and execute a marketing automation strategy for lead generation and nurturing. In this project-based course, you will learn how to set up a HubSpot Marketing Professional account with a 14-day free trial and add contact records, develop effective ChatGPT prompts for the creation of a marketing automation strategy, design and publish an automated lead nurturing workflow with customer elements and lead scoring for campaign launch and create a campaign performance dashboard to visualise marketing automation performance. To achieve this, you'll step into the shoes of a Marketing Automation Specialist at BrightRetail, a small B2C e-commerce company, tasked with developing and executing a marketing automation strategy to generate and nurture leads for a marketing campaign. This project is unique because it combines ChatGPT's capabilities with HubSpot's marketing automation software, offering you the opportunity to elevate traditional marketing automation processes, resulting in enhanced efficiency and effectiveness. To succeed in this project, you need a HubSpot Marketing Professional account using HubSpot’s 14-day free trial, a free or paid ChatGPT account and knowledge of email marketing.

Udemy · Natural Language Processing

A code-free intro to artificial intelligence, ML, & data science for professionals, marketers, managers, & executives. Beginner-friendly AI & Machine Learning course on Udemy with 2 hours of content. Rated 4.3/5 by 48 learners. Available for free.

Udemy · Python Programming

Understanding Machine Learning for Data Science in python. Best skill to get in free time. Beginner-friendly AI & Machine Learning course on Udemy with 1 hour of content. Rated 4.1/5 by 98 learners. Available for free.

Udemy · Python Programming

FREE Course on Data Science, Machine Learning, Data Analysis, Data Visualization using Python and R Programming. Beginner-friendly Cloud & DevOps course on Udemy with 8 hours of content. Rated 4.1/5 by 2,115 learners. Available for free.

Udemy · Python Programming

Free Data Science Course: Data Preprocessing: Correlation, Data Molding, Null Values. Beginner-friendly AI & Machine Learning course on Udemy with 1 hour of content. Rated 4.1/5 by 191 learners. Available for free.

Udemy · Natural Language Processing

A FREE Introduction to Kubeflow Training and Certification. Beginner-friendly AI & Machine Learning course on Udemy with 1 hour of content. Rated 4.1/5 by 108 learners. Available for free.

Udemy · Python Programming

Free Course: Natural Language Processing (NLP), Text Processing, Machine Learning, Spam Filter [Python]. Beginner-friendly AI & Machine Learning course on Udemy with 2 hours of content. Rated 3.8/5 by 102 learners. Available for free.

Coursera · Generative AI & LLMs

This Guided Project, led by Jana Porter, and expert in AI-driven social media communication, was created to help social media professionals and marketers harness AI tools to strategize and design a social media campaign tailored for the successful launch of a product by using ChatGPT, Canva's integrated AI-powered tools and human creativity. In this project-based course, you will learn how to set up a Canva account with a Pro trial and Brand Hub, design effective ChatGPT prompts for the development of a social media campaign strategy, combine AI-powered tools within Canva Magic Studio and human creativity to design branded and accessible social media content, and develop a social media campaign pack by exporting social media content in formats suitable for platform distribution. To achieve this, you'll step into the shoes of a Social Media Manager at SKIN Beauty, a small skincare start-up, tasked with strategizing and designing a social media campaign on Instagram to launch your new all-natural ingredient foundation, called NKD, making young, environmentally-conscious consumers aware of your new product. This project is unique because it combines the strategic power of ChatGPT with the design prowess of Canva to support every step of your creative process. While tailored for Instagram, the skills acquired in this Guided Project are applicable across various social media platforms. To succeed in this project, you need a Canva Pro Account using Canva's 30-day free trial, a free or paid ChatGPT account and knowledge of basic design principles and social media platforms.

Coursera · Generative AI & LLMs

This 1-hour long project-based course is for anyone interested in exploring the capabilities of cutting-edge AI technology. In it you will learn how to effectively communicate with OpenAI's ChatGPT and DALL-E models, practice creative writing, and produce visually stunning images. To achieve this, we will work with ChatGPT and Dall-e, co-writing a sci-fi inspired story, and generating images to bring the story to life through a series of tasks including setting up an OpenAI account, interacting with ChatGPT, practicing effective AI communication. This project is unique because it offers hands-on experience co-creating with advanced AI models, allowing you to explore the limits of such a technology and develop your creative writing skills. In order to be successful with it, you will only need basic computer skills and an interest in science fiction and creative writing. This project will provide you with step-by-step guidance through instructor-led videos. Unlike some other projects on Coursera, this experience will not utilize a virtual machine. Instead, learners will complete the project on their own browser or device. June 2023 Update: Dall-e 2 no longer provides free introductory credits. Learners are welcome to pay for credits for Dall-e or use a free alternative such as Bing Image Creator, Stable Diffusion, or Craiyon. Some features may be different, but the prompting methodology is still valid.

University of Leeds (via Coursera) · Microsoft Office Suite

AI forms the basis for all computer learning and is the future of all complex decision-making. As such it is becoming increasingly prevalent in daily life. As a result, the outlook is bright for artificial intelligence jobs. In this course, you will learn how to navigate the dynamic field of artificial intelligence (AI), exploring its applications and the evolving landscape of AI-related careers. You'll learn to understand various AI techniques, from artificial intelligence engineering to data science, gaining insights into their applications and ethical considerations. Get ready to acquire the skills that will propel your career in this rapidly evolving field! Click Start, a nationwide training programme designed to help young people develop digital skills, offers this course. Click Start offers scholarships giving free access to young people in the UK. Follow the link in the Click Start icon on the top, to check if you are eligible for free access!

Logical Operations · Generative AI & LLMs

Generative Artificial Intelligence (GenAI) tools such as ChatGPT, Copilot, and Gemini™ have taken the world by storm. Business users have found numerous creative ways to use these tools to get their work done faster and more efficiently. This includes the development of business presentations. Whether you use Microsoft® PowerPoint®, Google Slides™, LibreOffice® Impress, or another application to produce your slides, GenAI tools can help you generate text and image content for your slides, as well as presenter notes and handouts. This is even possible using free online AI tools that don't require additional costs beyond your current investment in your office productivity software. This course is designed for professionals in a variety of roles who currently use presentation software to accomplish business tasks, and who want to enhance their use of presentation software by leveraging freely available generative AI tools. In this course, you will: select and use generative AI tools to generate text content for presentation slides and handouts, generate images and design ideas you can use in a presentation, and generate presenter notes and handout content for use in a presentation. This course assumes the use of Microsoft PowerPoint for slideshow-related tasks, but other slideshow programs like Google Slides should be sufficient. You also need access to free accounts for major genAI services like ChatGPT and Gemini.

Logical Operations · Generative AI & LLMs

Business users have found many ways to take advantage of generative artificial intelligence (GenAI) tools such as ChatGPT, Copilot, Gemini™, and Claude. These tools can help you get work done faster and more efficiently. This includes the authoring of content within word processing tools like Microsoft® Word, Google Docs™, and LibreOffice® Writer or desktop publishing tools such as Adobe® InDesign®, Microsoft Publisher®, and QuarkXPress. GenAI tools can help you brainstorm ideas to inspire your writing and can help you create and revise text and image content for a wide range of writing and documentation projects. And all these tasks can be accomplished using free online AI tools. This course is designed for professionals in a variety of roles who currently create and edit documents to accomplish business tasks, and who want to enhance their use of word processing and desktop publishing applications by leveraging freely available generative AI tools. In this course, you will: select and use generative AI tools to generate ideas for your written documentation, use generative AI tools to develop text content for your word-processing documents, and use generative AI tools to produce images and design ideas you can use in your documents. This course assumes the use of Microsoft Word for document-related tasks, but other document programs like Google Docs should be sufficient. You also need access to free accounts for major genAI services like ChatGPT and Gemini.

Coursera · Generative AI & LLMs

Increasingly, marketers are integrating AI into their marketing operations, enhancing efficiency, creativity, and innovation—don’t get left behind! Unlock the potential of generative AI with this dynamic course designed to help you integrate AI and transform the impact of your content marketing. Dive into the world of content marketing, exploring the latest generative AI technologies that revolutionize copywriting and image generation. Learn best practices and discover how to seamlessly integrate tools like ChatGPT and Canva into your marketing operations, ensuring your content stands out in a crowded marketplace. Tailored for marketing and communications professionals, this course empowers you to harness AI to streamline your content creation process, boosting both efficiency and creative impact. By completing this course, you’ll master the use of generative AI tools, crafting compelling marketing content that drives engagement and keeps you ahead of the competition. In just two hours, you will learn to: Select suitable generative AI tools for targeted and impactful copywriting and visual assets Create marketing content by applying GenAI best practices to enhance creativity and innovation As the landscape of modern marketing evolves, stay at the forefront by leveraging state-of-the-art AI technology to expand your creative capabilities. You'll also gain insights into ethical considerations and best practices for AI-generated content, ensuring your marketing efforts are both impactful and responsible. To thrive in this course, a foundational understanding of marketing principles is essential. Familiarity with generative AI is beneficial but not required—if you’ve heard of tools like ChatGPT, you’re already on the right track. Requirements: Canva Pro: a paid plan (Canva offers a 30-day free trial) ChatGPT: a free GPT-3.5 or paid Plus plan

Logical Operations · Generative AI & LLMs

Artificial intelligence (AI) has rapidly become a phenomenon; a much-talked-about technological sea change. It's also a major disruptive force in the world of business. Generative AI tools can provide value in many ways, one of which is by assisting people who work with data stored in spreadsheets. No matter what spreadsheet software you use, what the data is about, or how it's structured, you can use freely available generative AI tools to enhance your productivity and help you find solutions to problems that can guide crucial business decisions. And, you can do all of this without having to pay for expensive AI integrations into your spreadsheet software. You just need to know what generative AI can do for you, what free tools to leverage, and the right questions to ask to get the most from your spreadsheets. This course is designed for professionals in a variety of roles who currently use spreadsheets to accomplish business tasks, and who want to enhance their use of spreadsheets by leveraging freely available generative AI tools. In this course, you will: select and use generative AI tools to generate spreadsheet content, use generative AI to enhance your productivity while working in spreadsheets, and use generative AI to solve spreadsheet-related problems. This course assumes the use of Microsoft Excel for spreadsheet-related tasks, but other spreadsheet programs like Google Sheets should be sufficient. You also need access to free accounts for major genAI services like ChatGPT and Gemini.

University of Michigan (via Coursera) · Natural Language Processing

In this MOOC, you will be introduced to advanced machine learning and natural language processing techniques to parse and extract information from unstructured text documents in healthcare, such as clinical notes, radiology reports, and discharge summaries. Whether you are an aspiring data scientist or an early or mid-career professional in data science or information technology in healthcare, it is critical that you keep up-to-date your skills in information extraction and analysis. To be successful in this course, you should build on the concepts learned through other intermediate-level MOOC courses and specializations in Data Science offered by the University of Michigan, so you will be able to delve deeper into challenges in recognizing medical entities in health-related documents, extracting clinical information, addressing ambiguity and polysemy to tag them with correct concept types, and develop tools and techniques to analyze new genres of health information. By the end of this course, you will be able to: Identify text mining approaches needed to identify and extract different kinds of information from health-related text data Create an end-to-end NLP pipeline to extract medical concepts from clinical free text using one terminology resource Differentiate how training deep learning models differ from training traditional machine learning models Configure a deep neural network model to detect adverse events from drug reviews List the pros and cons of Deep Learning approaches."

Birla Institute of Technology & Science, Pilani (via Coursera) · Other Courses (English)

Welcome to the "Automata and Computability" course! This course explores theoretical models of computation, including finite automata, context-free grammars, and Turing machines. It examines how these models define the limits of computation, analyse algorithmic complexity, and apply formal logic techniques to problem-solving. It delves into computability theory, covering decidable and undecidable problems, NP-completeness, and the Chomsky hierarchy. Learners will explore regular expressions, context-free languages, and recursive functions to understand language processing and formal grammars. Through hands-on experience with proof techniques, algorithmic problem analysis, and formal verification, this course builds a strong foundation in computational theory. By the end, learners will develop advanced reasoning skills applicable to theoretical computer science, software development, and artificial intelligence research. Ideal for computer science students, software engineers, and researchers, this course strengthens understanding of automata, formal languages, and complexity theory.

Coursera · Python Programming

In this project you will programmatically prompt an OpenAI model using the OpenAI API, and utilize the AI to enrich data of an existing movie collection. You will use Python to prompt the davinci-003 OpenAI model based on JSON objects storing details of the user's movie collection. You will enrich the movie collection with data such as director, genre and year of release, as well as dynamically generating the movie plots, through the OpenAI model. You will also learn how to calibrate the model response using the temperature parameter. Learners in this project will create a dynamic AI-driven data enrichment and content generation system for a movie database web app. This project will help developers to implement OpenAI in their projects, using the AI model beyond ChatGPT, generating content or enriching data using an AI model. The prerequisites of this project include fundamental knowledge of programming principles, particularly Python and JSON fundamentals. In the course of the project you will create an OpenAI account and use API credits. Any new account will allow 5 US Dollars worth of free credit, which is more than enough to complete the project. PLEASE NOTE: if you already have an OpenAI account and are unable to avail of the free credit, you may incur costs for using OpenAI API.

University of California San Diego (via Coursera) · Natural Language Processing

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data. Predicting future trends and behaviors allows for proactive, data-driven decisions. During the class learners will acquire new skills to apply predictive algorithms to real data, evaluate, validate and interpret the results without any pre requisites for any kind of programming. Participants will gain the essential skills to design, build, verify and test predictive models. You Will Learn • How to design Data Science workflows without any programming involved • Essential Data Science skills to design, build, test and evaluate predictive models • Data Manipulation, preparation and Classification and clustering methods • Ways to apply Data Science algorithms to real data and evaluate and interpret the results

Coursera · Statistics & Mathematics

In this 1 hour long project-based course, you will learn to build a logistic regression model using Pyspark MLLIB to classify patients as either diabetic or non-diabetic. We will use the popular Pima Indian Diabetes data set. Our goal is to use a simple logistic regression classifier from the pyspark Machine learning library for diabetes classification. We will be carrying out the entire project on the Google Colab environment with the installation of Pyspark.You will need a free Gmail account to complete this project. Please be aware of the fact that the dataset and the model in this project, can not be used in the real-life. We are only using this data for the educational purpose. By the end of this project, you will be able to build the logistic regression classifier using Pyspark MLlib to classify between the diabetic and nondiabetic patients.You will also be able to setup and work with Pyspark on Google colab environment. Additionally, you will also be able to clean and prepare data for analysis. You should be familiar with the Python Programming language and you should have a theoretical understanding of the Logistic Regression algorithm. You will need a free Gmail account to complete this project. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.