How to Learn Artificial Intelligence (AI) - 49 Bootcamps to Get You Started
What you need to know about AI
Artificial Intelligence (AI) is a machine simulation of human intelligence, and its concept has been around much longer than the current growing reality. In the past, human imagination created fictional interpretations of AI and portrayed it both positively and negatively. However, in the 1950s, mathematicians and philosophers began the first artificial intelligence research with the help of logic and feedback mechanisms1.
AI is no longer a far-fetched futuristic idea. It is used daily by numerous industries in many different forms. In the tech world, AI is used frequently, making it an excellent skill for developers and other industry employees to have. If you are interested in learning AI, jump to our comprehensive list of bootcamps that include it in their curriculum.
What is AI?
AI is the science and engineering used to create an "intelligent" machine. These "smart" machines are designed to perform tasks that typically require human intelligence. AI is generally powered by machine learning but can work using deep learning or a set of rules as well. It falls into three categories:
- Artificial Narrow Intelligence (ANI) - weak intelligence - Narrow intelligence is the only currently existing type of AI. Since information is pulled from a specific dataset, these systems don't operate outside of the tasks they were designed to perform. They can run in real-time and often seem highly sophisticated but are limited by a predetermined range of responses.
- Artificial General Intelligence (AGI) - strong intelligence - AGI machines exhibit some human intelligence and outperform human intellect. While today's computers can process data faster, they lack the ability to make judgements, use creativity to solve problems, and many other human capabilities. The goal of AGI is to give a machine "consciousness", which hasn't happened yet.
- Artificial Super Intelligence (ASI) - ASI is a machine that surpasses all human intelligence. This type of AI has inspired many movies and books and is the kind that humans often fear.
What is AI used for?
AI is used in numerous ways, from robotics and writing to predictive analytics to cyber defense. A few examples of AI in action include:
- Autofill or in-document editors: When your phone "guesses" the next word or Microsoft Word "corrects" your spelling or grammar
- Marketing automation: Automating repetitive tasks that engage users and generate leads, such as sending out an email to subscribers whenever a new article is posted
- Chatbots in healthcare: A chatbot receives a set of patient symptoms and health concerns and guides the patient to the correct care
- Alexa and SIRI: Personal digital assistants that listen to your vocal commands and turn lights on, play music, answer questions, and more
Why learn AI?
As technology expands, the demand for people with AI skills is increasing. Several tech-industry careers use AI, including UX Design, Digital Marketing, Data Science, Web Development, and Software Engineering. According to a recent study conducted by Gartner, companies plan to accelerate their adoption of AI-powered applications2.
Who should learn AI?
Anyone planning to pursue a career in data science, machine learning, or business intelligence should develop strong AI skills. Developers and engineers also benefit from the knowledge and skills. A good way to decide if AI is helpful for you to learn is to research how it's used in your prospective industry.
Learn AI at a bootcamp
Bootcamps, courses, and certificate programs are a great way to learn AI. Bootcamps like Springboard teach AI in their Machine Learning curriculum, while some higher ed institutions offer professional development AI courses, like MIT's Artificial Intelligence: Implications for Business Strategy. Start your search for bootcamps that cover AI in our comprehensive list below.
Comprehensive list of AI Bootcamps
Heicoders Academy provides high quality tech education to prepare our students for the most in-demand job in the industry. Our courses are developed and delivered by industry experts who have studied in some of the best STEM universities and work with some of the best companies in the world, including in Silicon Valley. Our courses are subsidised by the Singapore Government, and as such Singapore citizens & permanent residents who meet certain eligibility criteria will...
In collaboration with Great Learning, The University of Texas at Austin McCombs School of Business offers a Post Graduate Program in Data Science and a Post Graduate Program in Artificial Intelligence & Machine Learning.
iO Academy is a 16-week full-time full-stack coding bootcamp, with small class sizes meaning you get plenty of trainer support. The curriculum is designed to prepare students for their first developer role, with a focus on practical experience working on projects throughout the course. There is an option to specialise at the end of the course, either in advanced front-end or complex problem solving. Students will learn from experienced software developers in class sizes of...
Since 2016, Holberton School offers two-year Full-Stack Software Engineering training in adequation with Silicon Valley’s companies’ needs. With no formal teachers or courses! At Holberton School, education is delivered through a project-based learning curriculum. Instead of passively learning through lecture and repetition, students learn hands-on through increasingly difficult coding projects. Here, students practice peer learning; they learn to cooperatively work and support each other through their learning process. With this project-based and peer learning curriculum,...
The Bridge offers cybersecurity, cloud & devOps, data science, UX/UI product design, full stack web development and digital marketing bootcamps both remotely and at its headquarters in Madrid, Valencia, Bilbao and Seville, Spain. Full-time bootcamps are 16 weeks long and the part-time programs are 26 weeks long. During The Bridge bootcamps, students get access from O’Reilly content and have the chance to work with people in the other bootcamp programs for a multidisciplinary approach. The...
Start Your Career with a Top-Rated Bootcamp
Tecky Academy offers 16-week bootcamp courses in Hong Kong. The Academy offers affordable and career-centric technology education to those who are interested in pursuing a career in the technology field. Their instructors are experienced Software Developers with decades of expertise in planning, developing and administering software projects and systems.
VIVADATA is an intensive and full-time 10-week AI/data science bootcamp in Paris, France. VIVADATA provides intensive training programs to teach students the fundamentals of data science with Python programming, data collection, data engineering, data analysis and visualization, machine learning, deep learning and natural langage processing. The course offers a project driven approach, and students can expect to have built a rich professional portfolio by the end of the course. During the 10 week programs, students...
theDevMasters’s data science courses are offered in a variety of formats, including 2-day intensives and 16-week full-time courses. Students receive an accomplishment certificate after graduating from their program, which will indicate how many hours they have completed.
The Data Incubator’s 8-week online data science course provides live online courses twice a week. They also offer an 8-week fellowship program for Ph.D. students who are looking to get into the field and have partnered with companies like Capital One, Pfizer, and Genentech in the past for this fellowship.
Prehired is NOT a class, a school or your normal “higher ed.” You do NOT have “teachers,” “classmates” or “graduates.” As a lifetime membership association with a job guarantee, we help you get hired to tech sales careers at companies YOU want to work for, hit six figures asap and keep getting promoted. How? It all starts with our 12-week Science-Based Sales® career launch program to break into tech sales (the only one leading sales...
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References
- 1950s: The Beginnings of Artificial Intelligence (AI) Research.[online] Available at: http://world-information.org/wio/infostructure/ [Accessed 30 July 2020]
- Gartner Survey Reveals Leading Organizations Expect to Double the Number of AI Projects In Place Within the Next Year. [online] Available at: https://www.gartner.com/en/newsroom/press-releases/2019-07-15-gartner-survey-reveals-leading-organizations-expect-t [Accessed 30 July 2020]
