The editors at Solutions Review have compiled this list to spotlight some of the best AI certification programs that business professionals and managers should consider enrolling in. Solutions Review participates in affiliate programs. We may make a small commission from products purchased through this resource.
As Artificial Intelligence (AI) technology continues to become a juggernaut presence in nearly every industry, there’s never been a better or more critical time to outfit yourself with an up-to-date understanding of the technology, how it works, why it works, and what it can do for your business. However, finding the best AI certification programs can be a challenge, especially considering how many there are to consider.
With this in mind, we’ve compiled this list of the best AI certification programs and training courses that business professionals and managers can take to improve their expertise, broaden their skills, stay on top of the newest emerging trends and tools in the AI landscape, and advance their careers.
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The Best AI Certification Programs for Business Managers
Course Title: AI for Business Leaders
OUR TAKE: This Executive Program will help business professionals master the foundations of AI technology to better and more strategically implement the technology into their company.
Platform: Udacity
Description: Business leaders who enroll in this in-depth training program will develop and fine-tune the foundational technical knowledge of machine learning (ML) and artificial intelligence (AI) they need to apply those concepts to companies across industries, drive corporate growth, maximize business efficiency, and enhance experiences. Alongside the program’s in-depth training materials and practical case studies, students will also be given a capstone project, where they will put their skills to the test and build an ML/AI-backed strategy that can be integrated into a business.
Course Title: Artificial Intelligence Nanodegree
OUR TAKE: Expand your knowledge of fundamental AI algorithms and concepts by enrolling in this comprehensive Nanodegree Program taught by industry experts Peter Norvig, Sebastian Thrun, and Thad Starner.
Platform: Udacity
Description: This three-month certification program will introduce active and aspiring AI professionals to foundational concepts like optimization algorithms, pattern recognition, Bayes Networks, Hidden Markov Models, automated planning, and more. The course is taught by Peter Norvig, a Director of Research at Google; Thad Starner, the Contextual Computing Group (CCG) director at Georgia Tech; and Sebastian Thrun, the Founder of Udacity itself. Students can expect to complete the Nanodegree in approximately three months if they commit 12-15 hours to the program weekly.
Course Title: Become an AI Product Manager
OUR TAKE: Learning to evaluate the business value of an AI product can be daunting, but this proven Nanodegree program can help you quickly equip yourself with the skills you need to get started.
Platform: Udacity
Description: Offered in collaboration with Appen, a machine intelligence company, this Nanodegree Program will teach students how to evaluate the business of AI products, build their familiarity with fundamental AI concepts, improve their ability to scope and develop a data set, and more. Some of the subjects and skills covered in the course include creating data sets, developing a business case for AI applications, building models with Google AutoML+, and evaluating the results of a model. The course ends with a capstone project where students develop a business proposal for an AI solution.
Course Title: Become a Computer Vision Expert
OUR TAKE: With this program, you’ll learn to master various computer vision skills, write programs that analyze images, implement feature extraction, recognize objects using deep learning models, and more.
Platform: Udacity
Description: Professionals with experience using Python, statistics, machine learning, and deep learning can enroll in this course to kickstart their computer vision skills and expertise. Topics covered include object tracking, localization, SLAM, image processing essentials, neural networks, machine learning frameworks, statistical modeling, applying deep learning architectures to computer vision tasks, and building automatic image captioning applications. Business professionals new to the world of “deep learning” can also use Udacity’s Deep Learning Nanodegree Program to expedite their skills development.
Course Title: Columbia Engineering Online Artificial Intelligence (AI) Program
OUR TAKE: If you’re looking for a comprehensive, rigorous training program, this eighteen-month program from Columbia University is for you.
Platform: edX
Description: Learn how to develop AI-powered systems, solutions, and services by enrolling in this in-depth executive education program. The non-credit, non-degree course focuses on providing learners with the insightful instruction, discussion, and peer collaboration they need to bolster their skills in a lasting, meaningful way. During the eighteen-month program, students will learn all about machine learning, algorithms, neural networks, deep learning, natural language processing (NLP), computer vision, robotics, and more. Alongside the program’s various assessments, exercises, quizzes, and projects, the course also includes a three-day “immersion” on campus in New York City involving presentations, working sessions, and networking events.
Course Title: Professional Certificate in Fundamentals of Google AI for Web-Based Machine Learning
OUR TAKE: Learn what artificial intelligence technology can do by enrolling in this course from some of Google’s AI experts.
Platform: edX
Description: Students that enroll in this self-paced certification course from Google will improve their familiarity with subjects and tools like machine learning, applied AI, the TensorFlow.js library AI programming, Linear Regression, Convolutional Neural Networks, object detection, natural language processing, and more. These insights will also help students learn how to write custom models from a black canvas, use industry-standard models for various services, convert Python models to the TensorFlow.js format, and see firsthand how ML, AI, and deep learning fit together.
Course Title: Professional Certificate in Foundations of AI
OUR TAKE: Deepen your understanding of AI, its applications, use cases, and its effect on our lives by enrolling in this certification course from the experts at IBM.
Platform: edX
Description: This self-paced certification course is taught by Rav Ahuja, the Global Program Director of the IBM Skills Network, and Antonio Cangiano, a software developer and technical evangelist at IBM. During the course’s three-to-four-month program, students will learn what AI can do, how to get started with the technology by using the IBM Watson solution, and use Watson to build, analyze, deploy, and monetize chatbots. There are three courses included in the program, which all include hands-on interactions with various AI environments and applications.
Course Title: Professional Certificate in Applied AI
OUR TAKE: This course acts as a more in-depth alternative to the “Foundations” program above, as it includes those three courses alongside three additional courses that go deeper into the world of AI technology.
Platform: edX
Description: For professionals looking for a proper deep-dive into AI technology, its use cases, and some of the tools available in the marketplace, this self-paced, three-to-six-month program fits the bill. Students will learn about the applications of tools like IBM’s Watson AI, Python, and OpenCV. Some of the skills students will put into practice include creating customer support chatbots, deploying speech-enabled virtual assistance to Facebook, creating interactive vision web applications, deploying those applications to the cloud, and continuing to explore concepts around machine learning, deep learning, neural networks, and more.
Course Title: Professional Certificate in Computer Science for Artificial Intelligence
OUR TAKE: Offered through Harvard University, this professional certificate will help equip you with a broad, thorough understanding of computer science, programming, and artificial intelligence applications.
Platform: edX
Description: Business professionals and aspiring software developers that complete this course from HarvardX will leave with a meaningful understanding of machine learning libraries, artificial intelligence principles, and the concepts that act as the foundation of modern artificial intelligence. The course uses a mixture of live lectures and lessons with hands-on projects to educate learners on the theories behind graph search algorithms, optimization, classification, reinforcement learning, standard programming languages like Python, and more.
Course Title: CertNexus Certified Artificial Intelligence Practitioner Professional Certificate
OUR TAKE: With this five-course series, you can earn a career credential that demonstrates your AI expertise to prospective employers, increasing your chances of landing the job you want.
Platform: Coursera
Description: This program is geared toward intermediate-level professionals looking to master strategies for implementing AI, solving business problems, and demonstrating those skills to employers. Students will learn about the issues AI/ML can solve, how to identify the right technology for each issue, use ML algorithms, build multiple models to solve problems in a workflow, and explore some of the advanced algorithms used in machine learning and deep learning use cases. The course uses a flexible schedule that allows students to take the courses at their pace.
NOW READ: The Top Training Courses for Business Process Managers
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