No matter what your business, expertise, or profession is, a basic understanding of the principles and practices of artificial intelligence (AI), automated systems, and cognitive systems will become increasingly valuable.
You don’t need to spend years at university studying this technology to understand it. In recent years, a growing number of online classes have been developed, covering everything from basic implementation to advanced topics.
Some are designed for people who want to jump right into programming their own artificial neural network and assume a certain technical level. Others are for people who want to know how to apply this technology to real-world problems, no matter what their technical background is.
This post will list some of the most popular free apps available.
Learn using Google AI
Google has launched this new resource to help the public understand AI. The material is slowly being added, but it already includes a Machine Learning with TensorFlow crash course (Google’s library for machine learning).
The course includes a basic introduction to machine learning and TensorFlow and covers designing and training neural networks.
The course is divided into modules suitable for both those with little or no experience with machine learning and those with more experience.
Google – Machine Learning
This is an in-depth Google course offered via Udacity. It is not aimed at beginners and assumes that you have some experience with machine learning.
The focus is on deep learning and the design of systems capable of self-teaching from large datasets.
This course is designed for those who want to use machine learning and neural networks as data analysts, scientists, or machine learning engineers, as well as entrepreneurial individuals looking to take advantage of the many open source libraries, materials, and tools available.
Stanford University Machine Learning
The course is available through Coursera, taught by Andrew Ng. He founded Google Brain’s deep-learning research unit and is the head of AI at Baidu.
You can study the entire course for free. However, you have the option to pay for certification. This could be very useful if your goal is to use AI knowledge to improve your career prospects.
The course will cover a range of machine learning applications, including speech recognition, web search enhancement, and backpropagation, as well as statistics topics like linear regression and the methods by which neural networks learn. It also includes a Matlab Tutorial, one of the most popular programming languages used for probability-based AI.
University of Texas AI Program
Great Learning at the University of Texas offers AI courses for professionals and graduates. These programs offer a comprehensive curriculum to meet industry needs. The AI and Machine Learning course covers the latest trends and applications in the real-world, while the Applied Data Science using Python course builds foundational skills with hands-on exercises. Career support is provided by placement assistance, interview preparation, and other means to help graduates land roles as data scientists or AI engineers. These programs can be a valuable investment in your career.
MIT – Deep Learning for Self Driving Cars
As in the above course, MIT uses one of the major real-world aspects of AI as a starting point for exploring the specific technologies involved.
AI is essential for self-driving vehicles, which will soon be a common feature of our daily lives. It helps them make sense of the vast amount of data coming from the array of sensors on the car and navigate safely. It involves teaching computers to interpret the data from these sensors, just like our brains do when interpreting signals from our ears, eyes, and touch.
The course covers the MIT DeepTraffic Simulator, which challenges the students to teach a simulated vehicle to drive as quickly as possible on a busy highway without hitting other road users.
The course was taught for the first year at the bricks-and-mortar university. All the materials, including the lecture videos and the exercises, are available online. However, you will not be able to gain a certificate.
Conclusion
In conclusion, the top business analytics courses for 2024 offer a wealth of opportunities for aspiring and current professionals to enhance their skills and advance their careers. These programs, provided by leading institutions like Great Learning, IVY Professional School, BITS-Pilani, and others, combine rigorous academic training with practical, hands-on experience. They cover essential tools and techniques such as Python, SQL, Machine Learning, and data visualization, ensuring that graduates are well-equipped to tackle real-world business challenges. With flexible learning options, expert faculty, and strong career support, these courses are designed to help you achieve your professional goals and thrive in the competitive field of business analytics. Investing in one of these programs can be a pivotal step towards a successful and fulfilling career.