Learn How to Become an Expert in Artificial Intelligence With Our Roadmap

Learn How to Become an Expert in Artificial Intelligence With Our Roadmap Imagine a machine arranging all your clothes as you like it or preparing customized food, considering each family member’s choice. Interesting, Isn’t it? This is what we call Artificial Intelligence.

Artificial Intelligence in today’s world is entering every domain in our daily lives, and we can undoubtedly conclude that the future of technology is here. From various voice assistants to chatbots, over all these years, Artificial Intelligence has proved that it indeed is here to stay. So why not seize the opportunity and build a career out of it?

In this article, we will share a concise introduction to artificial intelligence and which skills can assist you in creating a vocation in this field. This is just a microscopic viewpoint of the explicit learn path, link of which is mentioned at the end of the article.

What is Artificial Intelligence?

Emerging technologies like Artificial Intelligence and Data Science have made our life easier.

Artificial intelligence, or AI as it’s more commonly called, alludes to the reenactment of human insight in machines that are modified to think like and copy humans.

It is the development of computer systems that can perform tasks that predominantly require human intelligence. These include visual perception, decision-making, speech recognition, and language translation.

Educational Requirements Artificial Intelligence is a highly demanding and skill-intensive field. Since it is related to computer science, it needs a certain level of technical expertise and technological know-how.

Hence, before even starting with the learning process, the primary prerequisite you must meet is a Bachelor’s degree in fields relevant to Artificial Intelligence such as Computer Science, Engineering, Mathematics, Statistics, and Information Technology.

If you have a Bachelor’s degree in math-intensive fields such as Economics and Finance, that can help you kickstart your journey in Artificial Intelligence as well.

Skills Required for Artificial Intelligence The soft skills or qualities innate in an individual and technical skills one can learn and hone in this field are as follows: .

1. Prerequisites

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Communication Skills: When dealing with data, it is not only essential to understand it but also to transform it into significant data that can be useful to any organization or individual. Hence, it is recommended that you work on your language and communication skills so that no information is lost in translation.

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Analytical Skills: To help organizations find data-driven solutions and develop models, it is crucial to know how to critically analyze and review information to get the most out of it.

Mathematics and Statistics: It is essential to brush up on mathematics and statistics concepts as they are vital and valuable when working with AI.

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How to Learn?

After finishing your bachelor’s, we would recommend taking a course, either through opencourseware websites, other education platforms, or Careervira. Here are some of the courses that can help you learn these topics: 1. Statistics for Data Science Provider: Henry Harvin, Price: ₹7,500 ($86.95), Duration: 8 Hours, Level: Intermediate

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Data Visualization: While understanding and interpreting data is of utmost importance, the conclusions are incomplete unless shown in an easy-to-read and practical way. As an AI specialist, one would expect you to help the organization by drawing out meaningful information from large data sets.

How to Learn?

These are topics you can learn through textbooks or even through short videos posted online by multiple platforms. However, we have curated a list of following courses that can help you learn these topics:

1. SQL Essentials Training & Certification Provider: Edureka, Price: ₹6,799 ($87.57), Duration: Flexible, Level: Beginner 2. SQL Developer Course Provider: Henry Harvin, Price: ₹7,500 ($96.60), Duration: 16 hours, Level: Intermediate

2. Beginner Level Skills

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Programming: There are many programming languages in the market today. While most data-related careers need R and Python, Artificial Intelligence also needs C++ or Java, as sometimes projects require working knowledge of a language other than Python. ○

Python: How to Learn?

Here are a few Python courses that are highly recommended. They will give you a better idea and understanding of AI tasks.

1. Learn Basics of Python Provider: Simpliv, Price: Intermediate ○

₹14,571

($187.66),

Duration:3.3hours,

Level:

C++: How to Learn?

Here are some courses that can help you understand these topics:

1. C++ Nanodegree Program, Udacity Provider: Udacity, Price: ₹77,67 ($1,000.72) Duration: 4 months, Level: Advanced 2. Certified Programming for Non-Programmers, Henry Harvin Provider: Henry Harvin, Price: ₹7,500 ($96.61) Duration: 8hours, Level: Intermediate ●

Data Analytics: Data Analytics is an integral part of all data-driven streams, including Artificial Intelligence. While Data Analytics can be done through Python, sometimes we need to employ other software as well. These include Advanced Excel and VBA, and R programming.

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Advanced Excel: How to Learn?

MS Excel, from beginner to advanced level, can be learned in just a few weeks through the abundant free resources that are available online.

Advanced Excel Analytics Provider: One Education, Price: ₹2,598 ($33.48), Duration: 2 hours, Level: Advanced

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R programming:

How to Learn?

Enrol in the best available courses from the list below to master the skills in R. 1. Data Analytics using R, Henry Harvin Provider: Henry Harvin, Price: ₹15,000 ($193.24), Duration: 8 hours, Level: Intermediate ●

Text Mining: It helps convert raw text into meaningful insights using text analytics and algorithms with the help of NLP (Natural Language Processing), which is the study of programming computers.

How to Learn?

This is a topic you can learn through online videos or certification courses. Here are some of the courses that can help you learn it: NLP Certification Training with Python, Edureka Provider: Edureka, Price: ₹15,152 ($195.19), Duration: 6 Days, Level: Intermediate

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Predictive Modeling: Using Python, predictive modeling analyses patterns and helps predict or forecast future events. Hence, historical data is used to train statistical models that forecast outcomes for the future.

How to Learn?

This is a topic you can learn through online videos or various certification courses.

Here are a few predictive modeling courses that are highly recommended. It will give you a better idea and understanding of AI tasks.

Predictive Modeling and Analytics Provider: Coursera, Price: Subscription, Duration: 11 hours, Level: Intermediate

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Machine learning: As Machine Learning is a subset of Artificial Intelligence, you need to gain expertise in major ML topics as well.

Machine Learning Provider: edX, Price: ₹7,675 ($98.96), Duration: 14 weeks, Level: Intermediate

3. Expert Level Skills

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Deep Learning and Neural Networks: Deep learning is the division of machine learning and artificial intelligence concerned with algorithms that facilitate automatic learning by processing data items. It attempts to mimic the human mind by learning its operations and functions.

On the other hand, neural networks are algorithms that try to find underlying relationships in a group of data by mimicking how the human brain functions.

How to Learn?

Having good theoretical knowledge is great, but implementing it in a real-time deep learning and neural networks project is another task. You might get different and unexpected results based on various problems and datasets. Here are a few courses to learn these topics:

Deep Learning Nanodegree Program Provider:Udacity, Price: ₹63,956 ($823.77), Duration: 4 months, Level: Beginner Deep Reinforcement Learning Nanodegree Program Provider: Udacity, Price: ₹77,676 ($1,000.49), Duration: 4 months, Level: Intermediate ●

Spark: Apache Spark is an open-source data-processing engine. It was built to deal with large data sets and is used in the field of AI.

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Hadoop: Using simple programming models, Apache Hadoop is an open-source, reliable, and scalable software used for processing large sets of data in a distributed manner.

How to Learn?

You can learn these topics through textbooks or even through short videos posted online by multiple platforms. Furthermore, we have shortlisted the best courses for you below and you can enrol for the most suitable option.

Big Data Hadoop Certification Training Provider: Edureka, Price: ₹19,995 ($257.82), Duration: 5 weeks, Level: Intermediate

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NoSQL: ‘Not only SQL’ is based on non-tabular databases, with flexible schemas capable of handling large amounts of data. These can be document-based, key-value, wide column-based, or graph-based.

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Cloud Computing: Artificial intelligence and Cloud Computing are intrinsically linked together, and having knowledge of both fields can help you develop models holistically and be comprehensive in your work.

How to Learn?

To gain in-demand skills in cloud computing to take your career to next level, here are some relevant training programs and certifications for beginner, intermediate, and advanced learners: Cloud Computing E-Degree Provider: Eduonix, Price: ₹4,300 ($55.41), Duration: 50 hours, Level: Beginner Cloud Developer Nanodegree Program Provider: Udacity, Price: ₹77,676 ($1,001.05), Duration: 4 Months, Level: Intermediate

Conclusion AI has been an essential part of the innovation space working across different businesses. The manner in which AI is developing, it appears that the advancements will be effective only when there are individuals who are prepared and working in this field. If you dream of entering this field with fantastic technology, then go through the detailed Artificial Intelligence Learn Path and start paving your way to success in this field.

We have a lot of other learn paths which you can explore from our advice page.

Careervira is a global edtech market platform with over 12K+ courses from 65+ global partners across tech and non-tech domains. Careervira.com provides 70+ key decision-making inputs to search and compare from amongst top global courses to zero down on your decision-making by learning partner, skills, course, price, and learn type.