Artificial intelligence (AI) promises to deliver some of the most significant and disruptive innovations of this century. Self-driving cars, robotic assistants, and automated disease diagnoses are all products of an emerging AI revolution. That will reshape how we live and work. The demand for talented engineers is more than doubling. There are limitless opportunities for professionals who want to work on the cutting edge of AI research and development.
Getting an AI Education
AI has a high learning curve, only for motivated students. The rewards of an AI career far outweigh the investment of time and energy. Succeeding in the field usually requires a bachelor’s degree in computer science or a related discipline such as mathematics. More senior positions may require a master’s or Ph.D. Though a college degree is no longer considered a hard requirement. Regardless, your success will depend largely on factors outside formal education.
Curiosity, confidence, and perseverance are good traits for any student looking to break into an emerging field. AI is no exception,” said Dan Ayoub, general manager for mixed reality education at Microsoft. Ayoub is a seasoned AI professional. He agreed to talk to Best Colleges about how to land a job in the field. ” AI is still in its infancy. Which means you may have to form your own path and get creative.”
What Ayoub means is that there is no standard artificial intelligence degree or curriculum. Some universities may not offer a prescribed set of courses for a major or specialization in AI. Some of those with dedicated AI programs may have unique approaches to the discipline.
“In conclusion, AI is still an emerging field university. It differs in how specialized a degree you may be able to get. ” Ayoub said, “A good place to start is computer science coursework. Getting familiar with the basics of data science, machine learning, and Java. There are a number of new undergraduate and graduate programs popping up every day. They are designed to prepare someone specifically to work in AI.”
Artificial Intelligence Courses and Curriculum
As the table below demonstrates, AI consists of several overlapping disciplines. Therefore, in addition to the subjects listed below. It can be helpful to take interdisciplinary courses in areas like cognitive science. This will help to provide a conceptual framework for AI applications.
SAMPLE CORE SUBJECTS IN AN AI CURRICULUM
- Linear Algebra
- Differential and Integral Calculus
- Matrices and Linear Transformations
- Integration and Approximation
- Modern Regression
- Probability Theory
- Bayesian Networking
- Probabilistic Graphical Models
- Computer Systems and Programming
- Principles of Imperative Computation
- Principles of Functional Programming
- Data Science Essentials
- Parallel and Sequential Data Structures and Algorithms
- Logic Programming and Computational Logic
- Agile Software Development
- Machine Learning, Deep Learning, and Reinforcement Learning
- Information Theory, Inference, and Learning Algorithms
- Neural Networks for Machine Learning
- AI Representation and Problem-Solving
- Natural Language Processing
- Computer Vision and Image Analysis
Skills Required to Build a Career in Artificial Intelligence
Some top skills for Build AI
1. Sound Mathematical and Algorithmic Understanding
To be an ideal candidate in AI, you need to have a solid knowledge of applied mathematics and a set of algorithms. Having proficiency in problem-solving and analytical abilities will help you in performing tasks in a more efficient way.
2. Basic Knowledge of Programming Languages
Programming languages are to an AI specialist what accountancy is to a Chartered Accountant. The ability to code in C++, Python, Java, etc is one of the top skills. It is required to build a career in artificial intelligence.
Each language has its own uses in this field. While R is used to develop statistical software and conduct data analysis. Python is used to develop complex algorithms easily
3. Robotics
We are moving towards a more automated world. And robotics is going to play a major part in the automation process. You should be well versed with robotics, as it is the outcome of development in AI.
4. Efficiency in Data Science
You should have a fair knowledge of data science as well, as AI experts use it to deal with large amounts of datasets (big data) and derive useful information in a fast and systematic manner.
5. Good Knowledge of Unix Tools
Unix tools like awk, cut, tr, find, etc are responsible for most of the processing in AI that happens in Linux-based machines. So, a programmer must know how these tools function.
6. Well-Versed with Machine Learning
Machine learning, as we all know, is a subset of AI. You should be acquainted with ML, as it is applied in cybersecurity and online fraud detection, rapid analysis and prediction, etc.
7. You should be Creative
Being creative and curious is going to help you in finding solutions to specific problems, as you will be able to crack them by using unconventional methods.
Top Artificial Intelligence Job Profiles as an AI Expert
1. AI Data Analyst
As an AI Data Analyst, you will be responsible for data mining, cleaning the data to acquire related data and discard irrelevant information, and interpret results by using statistical tools and techniques. Noticing major trends will help you in identifying future opportunities.
2. Big Data Engineer
A big data engineer assists in developing an ecosystem that facilitates communication between business systems. They create a company’s big data and manage it, along with getting results from big data, or huge amounts of data in a faster manner.
3. Business Intelligence Developer
A business intelligence developer is responsible for improving the profitability of the business, by planning, building, and sustaining business intelligence solutions.
4. Data Scientist
Data scientists use machine learning and predictive analytics to collect, analyze and interpret huge chunks of data. You can predict the future on the basis of current and past trends and patterns in data.
5. Machine Learning Engineer
The role of a machine learning engineer mainly revolves around programming and computing. You will build and manage platforms that enhance machine learning.
6. Product Manager
A product manager in the AI field is majorly responsible for solving problems by strategically acquiring datasets.
To become an AI product manager, you need to have knowledge on how to identify problems, acquire data and interpret and evaluate its impact on business.
7. Research Scientist
A research scientist is an expert in applied mathematics, machine learning, and deep learning. You must have a good amount of knowledge about reinforcement learning and NLP.
Learn more about Artificial Intelligence from Laqshya Institute
- How do I start a career in artificial intelligence?
If you’re looking to get into leadership roles entailing supervision, you need to have a Master’s degree or a Ph. D. A Master’s degree that offers advanced computer science education with a specialization in artificial intelligence or a Master’s degree in artificial intelligence will allow you to weave your AI career
- How much do artificial intelligence programmers make?
According to Data motion, the average salary for an artificial intelligence programmer is between $100,000 and $150,000. AI engineers, on the other hand, earn an average of $171,715 with the top earners making more than $250,000.
- What jobs are most affected by AI?
AI could affect work in virtually every occupational group. Better-paid, white-collar occupations may be the most exposed to AI, as well as some manufacturing and agriculture positions. Business, finance, and tech industries will be more exposed, as will natural resource and production industries.
- Is AI the future?
Artificial intelligence is impacting the future of virtually every industry and every human being. Artificial intelligence has acted as the main driver of emerging technologies like big data, robotics, and IoT, and it will continue to act as a technological innovator for the foreseeable future.
- Is AI dangerous?
Such a machine may not have humanity’s best interests at heart; it is not obvious that it would even care about human welfare at all. If super intelligent AI is possible, and if it is possible for a superintelligence’s goals to conflict with basic human values, then AI poses a risk of human extinction.
- Can AI be stopped?
Some smart robots can perform complex tasks on their own, without the programmers understanding how they learned them
- Will AI overtake humans?
In yet another warning against artificial intelligence, Elon Musk said that AI is likely to overtake humans in the next five years. He said that artificial intelligence will be vastly smarter than humans and would overtake the human race by 2025. “But that doesn’t mean that everything goes to hell in five years.
- What are the 4 types of AI?
- Reactive Machines. Reactive machines are the simplest level of robot
- Limited Memory. A limited memory machine, as the name might suggest, is able to retain some information learned from observing previous events or data
- Theory of Mind
- Self-awareness.
