At present, artificial intelligence (AI) has tightened up its position in the industry. The objective or goal of this innovative technology is to transform human resources into the machine’s power. AI develops wireless machine, automatic machine, or robotic machine which can think, act, or perceive as a human being. In the forthcoming year, AI will lead over the technology-driven world with its capability. So, students should learn artificial intelligence, machine learning, deep learning, neural networks, and much more cutting edge trend and technology to build up their AI careers. There is no surprise that there will be several job openings for artificial intelligence or machine learning in the upcoming year.
Tips to Make Career in Artificial Intelligence
Tips 1: Educational Requirements
To start your career in artificial intelligence and machine learning, the basic knowledge of computer science is required. A bachelor of Computer Science and Engineering degree, B.Tech in Computer Science and artificial intelligence, or robotics is needed for entry-level. If you are a research scientist or a software developer, you can easily switch to artificial intelligence. But you must know about robotics, artificial intelligence, and machine learning.
Tips 2: Boost Up Your Skills
Artificial intelligence is nothing special; it’s just a computer-based system that can mimic the human brain or intelligence. At present, there are two types of artificial intelligence: strong AI and weak AI. The strong AIs perform complex functions than weak AIs. They perform a task without human guidelines or help. They mimic human cognition. On the other hand, weak AIs perform a certain task.
So, to build up your AI career, you should boost up various level of skills like natural language processing (NLP), deep learning, ontology, mathematical, statistical, knowledge representation and reasoning (KR), semantic, pattern recognition, neural network (NN), data pre-processing, graphics, robotics, cognitive science theory, physics, and algorithm design.
Tips 3: Learn Programming Languages
If you want to develop your career in machine learning (ML) or artificial intelligence (AI), then you must be a good programmer. You must know the syntax of a programming language very well. A programming language is a set of instructions. To develop an artificial intelligence or machine learning project, several programming languages are used.
As an instance, R, Python, Java, JavaScript, Scala, Prolog, LISP, C++, and so forth. Among these, Python is the most popular and easy-to-use programming language for artificial and machine learning applications. Its simple syntax is easy to learn and implement. Also, its packages and libraries minimize the use of code.
Tips 4: Know about Tools and Frameworks
One must have to use tools and frameworks to develop any machine learning and artificial intelligence project. So, as a beginner, you must keep an idea about what kind of tools are used to develop an artificial intelligence project. There are several tools and frameworks are available like TensorFlow, PyTorch, Caffe, NumPy, Theano, Microsoft Cognitive Toolkit (CNTK), SciPy, Keras, Spark MlLib, Apache MXNet, and many more.
If you are interested in building up your career in artificial intelligence or you are searching for an artificial intelligence job, then you should know which framework or tool will make your code easy to implement.
Tips 5: Do an Online Course to Learn AI & ML
Are you interested in a machine learning or artificial intelligence job? Then, you must have to pursue an online course. Why? An online course will help you to learn at your home without any cost. We have outlined some of the best machine learning courses which are available online. These online courses will help you to develop your artificial intelligence project effectively and efficiently. These courses cover basic to advance. So, grasp your desired course.
Tips 6: Refresh Your Algorithms
An algorithm is a crucial part of machine learning and artificial intelligence. So, if you are interested in doing an artificial intelligence job or a machine learning job, then you should understand algorithms very well. There are several algorithms, and each algorithm is very much important to develop any machine learning project.
Each algorithm is different from each other. Some are basic and easy algorithm, whereas some are advanced and complex. Here we outlined some: Linear Regression, Support Vector Machine (SVM), Naive Byes, Decision Tree, K-means, K-nearest Neighbor (KNN), Gradient Descent, and many more. You may also read our previous article: AI and Machine Learning Algorithms, Methods, and Techniques.
Tips 7: Know About Machine Learning Library
If you are searching for an artificial intelligence job, then you must know how to use a machine learning library for developing a machine learning project. There are several machine learning libraries are available for any programming language. Among these, TensorFlow and scikit-learn are the most widely used machine learning library. These are efficient tools.
Tips 8: Know About Deep Learning
You have already known about the basics of artificial intelligence, algorithms, and programming language, and now it’s time to move forward to the next tips that are deep learning. Deep learning or deep structured learning is one kind of machine learning based on artificial neural networks.
Tips 9: Hone Your Overall Skills
You have already known about all the necessary things which are needed to get an artificial intelligence job. So, its time to hone your skills by doing some practical tasks. To enhance and enrich your skills, you can do many things like you can do an internship or can attend an AI and machine learning conference. Also, you can join GitHub to practice ongoing machine learning projects. It will be helpful for you to get a machine learning job.
Tips 10: Brush Up Your Statistical Skills
If you are searching for an artificial intelligence job, then you must have to know statistics properly to understand critical algorithms. There are many popular algorithms based on statistical theorems like Hidden Markov Models (HMM), Gaussian Mixture Models, Naïve Bayes, and so forth.
However, machine learning models find out patterns from a vast amount of information. To build up your AI career, you must have to know statistical proofs and theorems deeply to extract insights from data efficiently. Understanding statistical methods help you to be an AI professional.
Tips 11: Refresh Your Mathematical Skills
Mathematics is very much important for machine learning and artificial intelligence projects. So, anyone who wants to start his career in machine learning, he must have to know mathematical rules and techniques. Strong mathematical skills help you to solve programming problems efficiently. Also, it will help you to create logic in your program.
We will suggest you learn mathematics and practice very well. You have to refresh your mathematical knowledge like algebra, calculus, matrices, vectors, and functions. So, revise your mathematical knowledge again and again.
Tips 12: Develop Your Own AI Project
Already, you have gained theoretical knowledge of artificial intelligence. Now, its time to apply your knowledge. To apply your skills, you have to develop a machine learning project. You can develop a small project, or you can develop an ongoing project of GitHub. By developing an artificial intelligence project, you can examine your own ability.
Tips 13: Read AI & ML Books
We all know the reading book is one of the best ways of learning. We can enrich our knowledge by reading books. Also, books allow us to understand tricky things. So, if you are interested in building up your career in artificial intelligence, we will suggest you read several books on artificial intelligence. Here we have listed some of the best books on Artificial intelligence and Machine Learning.
Tips 14: Watch YouTube Videos
In this modern era, there are multiple sources of learning. To make a successful career in artificial intelligence, the next tips or suggestion for you is that learn from every single source. At present, there are so many standard YouTube channels and videos on artificial intelligence.
Here we listed some for you: Google Cloud Platform, Deeplearning.AI, Siraj Raval, Data School, and many more. Watch these videos and learn about artificial intelligence and machine learning.
Tips 15: Go Through AI Blogs
Another way of modern learning is reading blogs. If you are interested in getting a machine learning or artificial intelligence job, then you must go through AI blogs. By reading blog articles, you can know many cut edge techniques. Here we listed some blogs: Open AI, Machine Learning Mastery, MIT AI News, Chatbots Life, and many more.
Tips 16: Learn About AI Engineer’s Responsibilities
Before starting any career, I think everyone should know the primary responsibilities and objectives of this career. It’s too important because you can examine yourself whether you are interested or not. Moreover, you will be more interested after knowing the responsibilities since you are investing your time in learning the required skills.
An AI professional must have to know how to implement algorithms and how to evaluate them as he is responsible for research artificial intelligence and machine learning projects. He should also know about data mining, software design, and data pipeline. To start his AI career, he must know how to design, develop, and maintain artificial intelligence and machine learning models.
Tips 17: Learn About Data Pre-processing Techniques
Data pre-processing is the first step for developing any machine learning project. As data are collected from different sources, so they should be cleaned. Its a technique of transforming raw data into the desired format. To get a machine learning job, you must know the data pre-processing technique deeply.
Tips 18: Learn About Distributed Computing
Distributed computing is an important topic for artificial intelligence and machine learning. Because for almost all machine learning project requires complex and large volume datasets; sometimes these are difficult to process using a single machine. So an AI professional needs to know distributed computing to process large datasets across a cluster.
Tips 19: Learn About Probability
Probability is another important topic to build up an AI career. For any machine learning classification model, you need probability. In order to develop an accurate application, you have to think about your logic more critically, and you have to write your code more precisely. You can only achieve this if you are good at mathematics and statistics.
Tips 20: Know About Career Opportunities
Nowadays, AI career is one of the most demanding and trendy careers. Definitely, it has a bright future in forthcoming years. Almost all innovative companies are trying to incorporate machine learning and artificial intelligence into their business. So before starting your career in artificial intelligence, you must know about the job prospect.
Ending Thoughts
Artificial intelligence (AI) has excellent career opportunities. So, to establish an AI career, one first needs to have excellent programming skills. If you are good enough in programming, then you should go for an online course where you can learn basic terms. And then you should move on gradually. You should always update about the latest happenings of this cutting-edge field and how AI is changing the workplace. However, this emerging field has a tremendous job outlook. You can get a handsome salary by working in this sector. But you should keep in mind that you need a passion to learn something new.
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