The replication of human intelligence functions by machines, particularly computer systems, is known as artificial intelligence. Machines equipped with artificial intelligence are able to mimic or even outperform human brain functions. While there are many different approaches to AI, it is an interdisciplinary discipline, and recent developments in machine learning and deep learning in particular are causing a paradigm change in almost every area of the tech industry.
The 2020s have seen a surge in the use of platforms like ChatGPT- an AI platform, to conquer the easiest and the most challenging language-oriented tasks. There are AIs that can converse with humans while displaying the same emotional range and AIs that can defeat armies of the most powerful nations. All in all, the world today as we know it, has started to completely change and center around the use of robust AI systems. AI is gradually becoming a part of everyday life — and it is an area in which businesses of all sizes are investing.
With this increase in the use of AI across all jobs and platforms, it has become increasingly clear that AI will soon take over the world. This will lead to changes across all sectors and industries and industrial know-how as we know it. This dependence on AI, even in its initial stages, is immense and startling. As the new generation explores educational and career options, they must also look forward to new jobs created by the AI industry and the need for engineers and scientists who can create, replicate, and handle this new AI software. Hence, there is a growing demand for them. In this blog, we address some new and upcoming courses revolving around AI and machine learning that can open immense possibilities for students all around the globe.
MIT Sloan’s Embracing the Unexpected: Creative Transformation Amid Rapid Change
This is an executive education course focused on establishing the skill sets necessary to adapt to an A.I.-driven environment, which was recently announced by MIT Sloan.
This two-day course will be delivered in person from October 10 to 11, and it will combine theoretical frameworks with real-world case studies, interactive activities, and practical applications. It is taught by Hal Gregersen, senior lecturer in leadership and innovation at MIT’s Sloan School of Management, and Ed Catmull, co-founder of Pixar and co-author of Creativity Inc.
“In a rapidly evolving AI-driven landscape, executive leaders grapple with pursuing large-scale changes to stay ahead of the curve,” said Gregersen. “This course will help them embrace the unexpected more effectively by unlocking deeper elements of their organization’s creative potential and by taking the next steps in establishing a believable blueprint for change that requires a courageous shift in strategic gears and processes.”
This course offers a transformative learning experience that gives leaders the knowledge to motivate others to make investments, take risks, and produce sustainable value for the future of organizations.
AI for Everyone by Coursera:
AI for Everyone” is a worthwhile investment in your educational journey, regardless of whether you’re a CEO, entrepreneur, instructor, or just someone who wants to keep current on the most recent technical breakthroughs. This course provides a non-technical introduction to AI and its potential applications in various industries and can be completed in approximately 10 hours.
You will leave Andrew Ng’s course with a firm grasp of what artificial intelligence is, what it can achieve, and how it will affect our future. You will get a fundamental understanding of AI technologies, applications, and ramifications through a number of video lectures, interactive tests, and practical activities.
Generative Thinking by the University of Chicago Booth School of Business
A significant development in artificial intelligence called generative AI has the potential to revolutionize a wide range of fields, including entertainment, advertising, healthcare, and education. Success will require a full understanding of generative technologies, their use cases, and their ramifications.
This new course brought forth by Chicago Booth offers a thorough introduction to generative artificial intelligence, including its fundamental technologies, real-world applications, and wider societal ramifications. It seeks to give students a thorough grasp of Generative AI and its application to diverse industries, as well as to foster critical thinking on the moral, legal, and societal issues surrounding its use.
Taught by Sanjog Misra, each lesson will consist of a lecture, a discussion, a practicum, an exercise, and a demonstration. You will also be working on the creation of a Generative AI solution for a course project.
Deep Learning Specialization by deeplearning.ai on Coursera:
This course specialization, which takes approximately 5 months to finish, consists of a series of courses that delve into deep learning techniques and applications, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
With over 500,000 students enrolled since its introduction in 2017, Coursera’s Deep Learning Specialisation is one of the most well-liked deep learning programs worldwide.
Both novices and specialists can benefit from it, especially those looking to advance their machine-learning abilities. It is advised that you enroll in this online course if you are a software engineer or Python user who wants to enter this field and break into AI.
The Kellogg & McCormick MBAi Program
A 15-month program called the MBAi was created in 2021 for business leaders who wish to work with technology that is driven by artificial intelligence. The course aids students in developing their AI skills by combining corporate strategy and analytical tools. It has a technological core where students learn programming languages and the agile approach used in product management, in addition to the MBA core curriculum (which is what students would traditionally take in an MBA program).
The course is open to people with 2-6 years of technical work experience as a product owner, project manager, data scientist, software engineer, R&D associate, etc. as well as those having an undergraduate STEM degree or major. It is five quarters long from the September start date to March completion the following year and includes a full-time summer internship and optional industry engagement opportunities. Graduates of the MBAi program have gone on to work as technical product managers at John Deere, senior product managers at Amazon, and generative A.I. consultants at McKinsey & Co.
Columbia Business School AI-Based Programs
A number of courses at Columbia Business School, which Fortune ranks as having the sixth-best full-time MBA program, are either centered on artificial intelligence (AI) or include it in the curriculum. Virtual Reality and Artificial Intelligence, Technology Breakthroughs, Analytics Advantage, Analytics in Action, Python for MBAs, Natural Language Processing, Machine Learning, and Foundations of Artificial Intelligence for Business are just a few of the courses offered.
Applied Data Science with Python by University of Michigan on Coursera:
This specialization covers data science concepts and tools, including machine learning, data visualization, and text mining, providing a practical foundation for AI applications.
Nowadays, data science is pervasive, and the majority of well-known corporations, such as Google and Netflix, are utilizing this technology to analyze user behavior and interests in order to provide the most thrilling experience for their customers and learn more about the market. Given the level of depth provided in this program and the framework it offers to teach you applied data science with Python, it is definitely worth it. It is thoroughly organized, current, and also extremely practical.
Artificial Intelligence for Trading by Udacity:
This course focuses on applying AI techniques to algorithmic trading. It covers topics such as time series analysis, statistical arbitrage, and reinforcement learning. Students gain practical experience by implementing trading strategies and developing AI-powered trading agents.
The Nanodegree program covers advanced to expert-level trade and artificial intelligence ideas. It is appropriate for students with some prior experience in programming and finance because it took about 6 months to complete.
IBM AI Engineering Professional Certificate on Coursera
This professional certificate is a comprehensive program that covers various aspects of AI engineering and is designed to provide learners with a strong foundation in AI development and deployment.
It consists of multiple courses that cover key AI topics, including machine learning, deep learning, neural networks, computer vision, natural language processing, and AI deployment. By completing the “IBM AI Engineering Professional Certificate,” learners gain practical skills in AI engineering and can showcase their expertise in building and deploying AI solutions. This program provides a comprehensive learning path and practical experience that can be valuable for individuals seeking a career in AI or looking to enhance their AI skills.
Artificial Intelligence A-Z: Learn How to Build an AI course on Udemy
The “Artificial Intelligence A-Z™” course covers a wide range of AI topics and provides a hands-on approach to learning. This course is taught by Kirill Eremenko and Hadelin de Ponteves, who are experienced data scientists and AI experts.
Some of the key concepts and techniques covered in the course include an introduction to AI, Python Programming, Supervised Learning algorithms, Unsupervised Learning techniques, Deep Learning, Natural Language Processing (NLP), Reinforcement Learning, and AI Deployment.
The course contains hands-on activities and projects that let students put their knowledge to use and create original AI models. It is appropriate for novices with no prior knowledge of artificial intelligence (AI), as the instructors provide detailed instructions and explanations. The course is thorough and covers both basic ideas and more complicated subjects, making it appropriate for intermediate-level students as well.
These courses provide a good starting point for students interested in AI. It’s important to note that prerequisites and prior knowledge requirements may vary, so be sure to check the course descriptions for more details. Additionally, universities and online learning platforms continuously introduce new AI courses, so it’s worth exploring different platforms and resources to find the most suitable courses based on individual interests and goals.