From weather and commuting predictions to speech and image recognition, self-driven cars to fraud detection, virtual personal assistants to product recommendations and online customer support, the applications of Artificial Intelligence (AI) and machine learning are expanding like never before. These next-generation technologies are redefining global trade flows, reshaping value chains, and transforming human lives altogether.
AI and machine learning are bringing revolutionary changes across industries, which is driving businesses to adopt and leverage these emerging tech trends rapidly. They are using these technologies to improve their products and services, assess business models, and refine decision-making processes.
This is creating more job opportunities than people available to fill those jobs, heightening the demand and scope for professionals with an in-depth understanding of AI and machine learning technologies. According to Indeed, job postings related to AI and machine learning have increased by 119 percent, almost doubling over the past three years. The report of the most visited job search engine also mentions that the three most in-demand job profiles in the AI market are software engineers, machine learning engineers, and data scientists.
The above statistics are encouraging, and point out why getting into an AI program, or a machine learning program could be an excellent career boost for tech professionals. But, before you dive in, here are a few things you should know to get the best out of these programs.
AI, Data Science, and Machine Learning: The Differences
AI is an umbrella term for a variety of applications, ranging from predictive analytics to robotics. Enabling swift decision-making is at the heart of AI, be it for calculating investment risks, analyzing medical samples, or self-driving cars. Put simply, AI speeds up the work of human intelligence, while lowering the rate of error.
One of the subsets of AI, machine learning is an AI-based application that learns and improves automatically. Working with data sets, machine learning enhances the accuracy of software applications in predicting process outcomes.
Data science, using AI as its tool, merges machine learning capabilities with varied disciplines, such as statistics, Big Data, and cloud computing, to deliver insights and solutions to business-specific problems.
Data science provides insight, machine learning offers predictions, and AI facilitates the end action of decision-making.
Who Should Join an AI Program or a Machine Learning Program?
Technology professionals, software developers, research scientists, and mechanical engineers can take an AI Certification course to add value to their existing skills and expand their career prospects. However, the knowledge of mathematics, statistics, and computer technology is vital for both AI and machine learning professionals. A Bachelor of Technology in Computer Science is always preferable for an AI or Machine Learning Certification Program.
Here are a few things you need to do to get the best out of your AI and machine learning program.
Read Books on Machine Learning and AI
As fields that are constantly evolving, AI/machine learning demands a dedication to continual learning to stay current. Since there’s much to learn about these technologies to get started in this career, it’s necessary to get yourself familiar with the world of AI and machine learning. And what better way to do that than books?
Here are some must-read books for aspiring AI and machine learning professionals:
- “Machine Learning With R,” by Brett Lantz
- “The Singularity is Near: When Humans Transcend Biology,” by Ray Kurzweil
- “How to Create a Mind: The Secret of Human Thought Revealed,” by Ray Kurzweil
- “Life 3.0: Being Human in the Age of AI,” by Max Tegmark
- “AI: A Modern Approach,” by Stuart J. Russell
Explore AI and Machine Learning Blogs
AI and machine learning blogs are invaluable resources when it comes to keeping up to date on the latest industry news. They often go more in-depth into niche areas and offer a more interactive way of learning through comments and discussions than textbooks. For any budding, AI and machine learning professionals, exploring the AI and machine learning blogosphere will not only help to further your career prospects but also keep you connected to the broader AI community.
“Microsoft’s Machine Learning Blog,” “Open AI,” “MIT AI News,” “Machine Learnings,” and “Machine Learning Mastery” are some free resources and top blogs that offer fantastic insights and latest industry news on machine learning and AI.
Brush up Your Mathematics and Learn Programming Languages
Mathematics plays a crucial role in AI and machine learning. Therefore, before you take an AI or machine learning program, it is vital to review math subjects, such as calculus, statistics, algebra, and algorithms. Strengthen your skills, if you know programming languages like Prolog, Python, C++, or Java. For those who don’t know any programming languages, it’s time to learn a few.
Follow AI and Machine Learning YouTube Channels
For high-quality information on programming languages, AI, and machine learning, “Sentdex,” “Deeplearning.AI,” “Data School,” and “Google Cloud Platform” are some great YouTube channels to follow.
Why Should You Go for AI or a Machine Learning Online Program?
The World Economic Forum states that the AI market, which includes diverse applications such as machine learning, process automation, and natural language processing, will create around 58 million jobs by 2022. The Forum also indicates that 71 percent of current human tasks will eventually move to automation. To remain relevant, 54 percent of employees in large corporations will need to augment their skills.
A study conducted by research firm Tractica showed that the global market for AI systems would grow impressively over the next few years. And by 2025, the AI market revenues will touch 118.6 billion dollars. While Gartner predicts that AI business will reach $3.9T in 2022, IDC forecasts that by the same time, global spending on AI systems will be 77.6 billion dollars.
No wonder, it is a great time to be working in the field of AI and machine learning. If you’re eyeing a career in these areas, pursuing an AI program or a machine learning program is a great place to start. Our AI online programs offer training via live webinars, online practical sessions, and video tutorials, covering key AI/machine learning areas with tools like Keras, Scikit Learn Library, and Tensorflow. Get enrolled today to take proactive steps to train yourself for a rewarding career.
AI and Machine Learning Programs You Should Consider
This Introduction to Artificial Intelligence program is designed to help learners decode the mystery of artificial intelligence (AI) and its business applications. This AI for beginners program provides an overview of AI concepts and workflows, machine learning and deep learning, and performance metrics.
If you want to expand your expertise in advanced intelligent applications, then this Introduction to Robotic Process Automation (RPA) program will put you on the fast track. RPA is one of the hottest and fastest-growing technologies for improving real-time business operations and processes. This program will give you an overview of RPA concepts, the value-add it brings with relevant business use cases and tools understanding.
The Robotic Process Automation (RPA) using UiPath training will build your RPA expertise from the ground up using the advanced UiPath platform. This program enhances your credibility as an experienced RPA professional validating your ability to automate UiPath based projects.
Explore the concepts of Machine Learning and understand how it’s transforming the digital world. An exciting branch of Artificial Intelligence, this Machine Learning program will provide the skills you need to become a Machine Learning Engineer and unlock the power of this emerging field.
Are you skilled enough for your next career as a Machine Learning Engineer? Try answering these Machine Learning Multiple Choice Questions and find out now!
This Artificial Intelligence Master’s Program, in collaboration with IBM, gives training on the skills required for a successful career in AI. Throughout this exclusive training program, you'll master Deep Learning, Machine Learning, and the programming languages required to excel in this domain and kick-start your career in Artificial Intelligence.
Start your career with our comprehensive AI and Machine Learning Course, in partnership with Purdue University and in collaboration with IBM. This program will prepare you for one of the world’s most exciting technology frontiers.
This Automation Anywhere certification program is designed to jumpstart your career in the rapidly growing field of Robotic Process Automation (RPA). Simplilearn’s Automation Anywhere certification training introduces you to the Automation Anywhere platform, architecture, specifications, and functionality.
These programs will help you build knowledge, improve your resume, and launch a successful career in AI/machine learning with more information and confidence. So, explore our programs in the Artificial Intelligence and Machine Learning field, enhance your skills, and get ready for the jobs of today and the future.