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
Pragmatic Institute’s data science curriculum is designed to help data practitioners of every skill level process more data faster, uncover new opportunities for their organizations and take on the future of data. Developed by the data science instructors at The Data Incubator, these courses dive into the most useful topics and in-demand skills for anyone who works in coding, data wrangling, analysis, statistics, software, research, economics and more. Pragmatic Institute’s data curriculum includes Essential Data...
Qwasar Silicon Valley offers training programs that are truly designed for the 21st century. The world has changed, access to knowledge has changed, and the workplace today is about skills, collaboration, problem-solving, and creativity. Hard, technical skills and soft skills are not learned in a lecture, online video, or by knowledge transfer. You need to experience it, to learn by doing, and that is the core of what we do at Qwasar. Learning new skills...
Imarticus Learning is a technology driven educational institute that has immense expertise in transforming careers across industries such as financial services, analytics and AI, business analysis and core technology. Having educated over 35,000 individuals, we have also pioneered the concept of professional degrees, “Prodegrees” in collaboration with global giants such as IBM, KPMG, Genpact, Rise Mumbai by Barclays, Moody’s Analytics, Motilal Oswal along many others to revolutionize learning by allowing aspirants to acquire skills demanded...
Charcado inc. was founded by Char, a Hackathon winner and Data Scientist/Software Engineer who has previously worked at PayPal and various startups. We have been teaching children from as young as 7 years old up to college students to code and build their dream projects from scratch. Our aim is to increase the availability of learning technical programming skills amongst kids of all ages. The course is targeted towards beginners, so children can engage meaningfully...
ValleyML Fellowship Program is a career-driven, 9-week professional training program that aims at filling the gap between academics and industry-specific skills required in AI's evolving fields. The program is designed for graduating students and working professionals who want to transition into a thriving career as machine learning engineers, data scientists, or other cutting-edge professionals. The Fellowship Program offers the following career-aligned specializations to help you thrive in this digital era: Data Science, Computer Vision, Natural...
Start Your Career with a Top-Rated Bootcamp
Fingertips provides professionals, graduates and fresher candidates training in courses like Business Analysis, Data Science, Data Analysis, Machine Learning, Business Intelligence, R, Python, SQL, Tableau, Power BI, and Digital Marketing with Analytics. We focus on providing an outcome-based learning approach, industry-relevant curriculum, strong mentorship, and placement support.
At Sudaksha, we offer live instruction on programs like Data Science, Java Full Stack Development, Selenium Testing, Python, AIML, etc.
unpackAI is an AI community that focuses on Bootcamps in the Area of Deep and Machine Learning. We believe that ML and DL education should be as accessible as possible and thus offer inexpensive courses with a high focus on building problem solving Deep Learning Models. We have a community-centered learning approach and our courses are highly interactive with the right balance of self-study and collaboration.
Diploma in Digital Transformation & AI: This diploma takes you through the fundamentals of digital technologies that are transforming our world today. Professionals will learn the history and application of blockchain, artificial intelligence (AI), Internet of Things (IoT), and much more. The courses can be taken anytime and anywhere, allowing you to gain an edge and compete confidently for your spot This diploma gives you the opportunity to stay on top of the rapid change,...
Best Bootcamps received an average 3.28 of 5 based on 5081 reviews.
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]
