These AI courses can boost your career adding value to your resume
Artificial intelligence is booming like never before these days. It is one of the top technologies that are here to stay. Since most of the operations these days are done using AI such as facial recognition, and detection of frauds, AI is making things possible for humans so easily. Employers are looking towards people with diverse skill sets who can aid their companies with unique and innovative ideas to take the AI revolution to new heights. Here are the top AI courses that you should enroll in for 2022 to gain an edge over AI and its fundamentals.
IBM AI Engineering Professional Certificate
This is one of the top AI courses that can help one to launch a great career as an AI engineer. The certificate teaches how to provide business insights from big data using ML and deep learning. It includes both supervised and unsupervised learning using the top programming languages like Python. You can also get hangover libraries such as SciPy, Keras, Scikit Learn, PyTorch, and TensorFlow. This is a 6months professional certificate that is designed to equip you with the tools that are highly needed to succeed in a career in AI and ML fields.
AI: Reinforcement Learning in Python
This is one of the top AI courses that is provided by Udemy. It gives a good idea about reinforcement learning and helps you understand the concepts from both AI and ML perspectives. This course is one of the most impressive AI courses to learn at the present trend. It offers bits of knowledge into AI strategies that once could never see in conventional directed AI, unaided AI, or even profound learning.
MIT- Deep Learning for Self-Driving Cars
MIT takes the approach of using one major real-world aspect of AI to explore new ways. Self-driving cars are the talk of the town these days as they are a futuristic technology. This involves teaching machines to interpret data from those sensors to interpret signals. This is one of the top AI courses that teaches you the bricks and mortar university for the first time last year, and all of the materials including lecture videos and exercise are available online, however, you won’t be able to gain certification.
Columbia University- Machine Learning
This course is also available in its entirety for free online, with an option to pay for certification should you need it. To get the most of the course you should expect to spend around eight to ten hours a week on the materials and exercises, over 12 weeks but this is a free Ivy League-level education so you wouldn’t expect it to be a breeze. It is offered through the non-profit edX online course provider, where it forms part of the AI non-degree.
Google-Machine Learning
This is one of the AI courses that is offered by Google through Udacity. It is aimed at complete novices and assumes some previous experience of machine learning, to the point where you are at least familiar with supervised learning methods. It focuses on deep learning, and the design of self-teaching systems that can learn from large, complex datasets. The AI course is aimed at those looking to put machine learning, neural network technology to work as data analysts, data scientists, or machine learning engineers as well as enterprising individuals wanting to make use of the plethora of open-source libraries and materials available