AI & Machine Learning   

Artificial Intelligence (AI) is rapidly becoming a core part of how the world operates. From streamlining workflows to unlocking new levels of creativity and insight, AI is reshaping industries, careers, and the way we live and work. Those who embrace this fast-evolving technology will lead the way, while those who don't may find themselves struggling to keep pace.

This artificial intelligence course is your opportunity to stay ahead of the curve by discovering the transformation of AI in the workplace and how you can use it to grow your career, sharpen your skills, and unlock your full potential. You will gain a clear understanding of what AI can do and how to use it through hands-on, real-world examples that apply directly to a wide range of careers and industries. During your training, you will learn how to write prompts (talk to AI), generate content (answers, text, photos, video), analyze data, work faster/easier in Microsoft 365 (Office) apps, and much more.

AI is reshaping the future of work and learning how to use AI within your job role or personal life can give you a competitive edge—helping you stay relevant, work smarter, and unlock new career opportunities.

This teacher professional development course will provide you with an overview of the benefits and limitations of allowing students access to artificial intelligence (AI) in the classroom, covering the tools that can be used for enhancing student achievement while addressing issues like academic dishonesty.

This course will teach you how to utilize artificial intelligence (AI) in your planning by focusing on concepts like lesson planning, assessment, differentiation, and communication to enhance your instructional efficiency and quality.

This course bundle will provide you with a foundation of practical knowledge on artificial intelligence (AI) and machine learning. You will begin with the science behind AI computer systems, which can perform tasks that typically require human intelligence, and AI ethics, applications, and more. Then you will move on to a more thorough look at machine learning, the problem it is trying to solve, and specific techniques and applications used in supervised, unsupervised, and semi-supervised learning.

This intensive data science and artificial intelligence course covers technical training in essential core competencies for entry-level data science roles, including: SQL, Python, and Python's data science libraries. The curriculum is intended to provide you with real-world training, so you acquire transferable skills that employers look for like SQL querying, automation, and data visualizations. The program also includes practical instruction in integrating AI models into web applications.

Through the practical exercises, you will gain valuable experience working to clean and visualize data, build machine learning models, develop dashboards using tools like Pandas, NumPy, scikit-learn, and build AI-powered web applications using Flask and OpenAI. This beginner-friendly machine learning course features capstone projects and practical assignments that prepare you for roles in data analytics, machine learning engineering, and AI.

The curriculum goes beyond basic data analytics by introducing you to back-end development and API integration using Python-based frameworks. You will learn to design and style user-facing web forms, make requests to AI platforms, and incorporate error handling into your applications. Upon completion of this artificial intelligence and data science course, you will be proficient in Python development tools and capable of building interactive, AI-enhanced web tools.

Gain a foundational knowledge of the science behind creating computer systems that can perform tasks typically requiring human intelligence in this introductory artificial intelligence (AI) course.

Gain a foundational knowledge of the science behind creating computer systems that can perform tasks typically requiring human intelligence in this introductory artificial intelligence (AI) course.

The course provides foundational machine learning knowledge that enables you to learn the most popular algorithms used and the different types of machine learning, including supervised, unsupervised, and reinforcement learning. This course also explores the programming languages used to develop machine learning.

The course provides foundational machine learning knowledge that enables you to learn the most popular algorithms used and the different types of machine learning, including supervised, unsupervised, and reinforcement learning. This course also explores the programming languages used to develop machine learning.

With the rise in artificial intelligence (AI) technology, businesses and institutions are looking for skilled professionals to design and train effective AI applications. This Python course provides you with the skills needed to begin designing and developing AI applications using Flask and OpenAI. All lessons will focus on developing practical skills you can immediately utilize in real-world AI projects.

This comprehensive Python training is designed to help you move beyond foundational Python programming skills to developing web apps that are portfolio-ready. This includes building and styling web forms as well as integrating AI for tasks like sentiment analysis. Real-world exercises involve API requests, error handling, and back-end logic to create functional, AI-enhanced web tools.

The structured projects allow you to gain experience with back-end frameworks and API integration, both competencies necessary to advance into roles like a web developer or software engineer. This course supports your career growth by teaching the skills needed to stand out in interviews or to pursue a certification.

Data scientists and software developers are growing at a rate significantly faster than the average, according to the U.S. Bureau of Labor Statistics, with an average of 200,000 combined annual job openings projected through 2033. Paired with six-figure salaries, now is a great time to join this in-demand industry.

This Python course is designed for those who want to learn how to work with data from the ground up with no prior coding experience. The course starts by covering the basics of Python programming before moving into more core data science skills like statistical analysis and regression modeling. From there, you will gain hands-on experience building classification models, tuning machine learning algorithms, and even training neural networks using Keras and TensorFlow.

During this Python training program, you will complete practical projects that mirror real-world data workflows, such as employee retention prediction, car pricing models, and image recognition using the MNIST dataset. These projects help reinforce skills and serve as portfolio pieces for job applications. The data science and machine learning training curriculum is structured to help you build confidence in using Python for data analysis and machine learning, even if you have no technical background.