Alisha Sharma
by on December 12, 2018
It’s a great time to be working in the industry now. It’s like driving your own cruise ship in open water—only you, the waves of uncertainty and your skills to maneuver in choppy waters. With AI course, you can set sail in just the right direction that will take you to the destination. However, there is a serious dearth of talent in the AI industry. If you think that you are the talent that the AI industry needs, it’s time to get familiar with the programming languages. AI geeks would recommend 100+ programming languages for AI/ML. However, we recommend these programming languages and software suites that you should focus to learn in an AI course. 1. Python An open-source AI development language, Python is considered the A-star in the list of programming languages. Many AI algorithms are implemented with Python because of its quicker deployment. Python is faster to deploy compared to traditional computing language, including C++, Java, and Ruby. 2. R An object-oriented source code with command line interface, R is another powerful AI computing language used for analyzing and manipulating data and statistical outcomes. Well-designed AI visualization can be plotted using R, RODBC, and GT models. R is derived from the primitive FORTRAN, C and Rstudio components. 3. AIML Also called Artificial Intelligence Markup Language (AIML), this AI course basic is used extensively in chatbot designs and for building virtual assistants in computer landscape. In AI course, this is referred to as an XML dialect that is used to creating Natural Language Processing (NLP) software. Developed in 2001, this AIML format has won numerous AI/ ML programming challenges, including the industry marquee, the Loebner Prize Competition in Artificial Intelligence. 4. Lisp Historically called as LISP, this AI course fundamental programming language is categorized as a multi-functional, reflective advanced AI/ML algorithm, with many sub-versions and dialects. An expression-oriented language, Lisp doesn’t have many control structures, but few macros and special operators that augment the AI results. 5. GNU Octave If you are looking to use AI for data science and data visualization, and an alternative to SAS, GNU Octave is your best option. It is a high-level programming language for numerical computation compatible with MATLAB and Python. In AI Courses, GNU Octave comes as a free alternative to MATLAB written in C++ with a standard library and Octave scripting model. Referred to as a structured programming language Octave supports Big Data structures and also provides object-oriented programming foundation in UNIX- like environment. 6. SAS SAS is another advanced level AI course programming language. Statistical Analysis System (SAS) made it to the fore in 70s and since then it has consolidated its position as a top AI/ data science programming language with advanced analytics, multivariate analysis and more for business intelligence ecosystem. Recently, SAS has undergone multiple iterations and now is referred to an advanced analytics suite competing against the likes of IBM, Oracle, SAP, and Microsoft BI. SAS AI training and SAS analytics training have covered significant grounds in an AI course.
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