Technology has turned our existence upside down. Modern technology has advanced our lives in multitudinous ways – restructuring the way we live, work, think, and play.
AI is a technology that enables computer systems and machines to perform tasks that were previously put to execution by human beings.
John McCarthy, who coined the term ‘Artificial Intelligence’ described artificial intelligence as any task carried out by a machine that was previously presumed to require human intelligence to work.
How AI Works:
AI combines large amounts of data with faster processes and better algorithms. This makes it possible for the system to learn from patterns automatically.
Artificial intelligence operates using algorithms and other elements that support gearing models in the direction of reasoning, perception, and action. AI can be driven by deep learning or machine learning, or it can be driven by simple processes of rules. The most basic artificial intelligence is not as complicated as it seems. It can be a computer programmed to behave in a certain way or to give some output based on certain rules.
Artificial Intelligence Applications:
The importance of Artificial Intelligence is immense when it comes to technological advancements. Encompassing various sectors and industries in the field of technology, AI has revolutionized many fields with the help of its advanced development and adaptive technologies.
- Computer Vision
- Normal sports game
- Knowledge reasoning
- Machine learning
- Natural language processing
- Customer service
- Stock market and finance
- Automatic cars
- Digital media
- Health care
- Image Recognition
What are the Job Opportunities in AI?
- Machine-Learning Scientist
A machine learning scientist scrutinizes new data manipulation approaches and formulates new algorithms to be used.
- Machine-Learning Engineer
Today, Machine learning engineers are in high demand. They are expected to be well acquainted with various machine learning algorithms like clustering, classification, and categorization and also should be up to date with the latest research advances in the field. The Machine Learning Engineer is chief in any AI project. Anyone from applied research and data science background can be trained to be a Machine Learning Engineer. They set up and sustain self-running software that facilitates machine learning initiatives.
- Big Data Engineer
The Big Data Engineer develops a qualitative atmosphere for business systems to interact productively. Their primary function is to build and effectively manage an organization’s big data. They also have to do the job of deriving results from big data reliably.
- Business Intelligence Developer
The primary responsibility of a Business Intelligence developer is to consider AI as well as business acumen. They recognize various business trends by assessing complex data sets. They help increase a company’s profits by creating, developing, and nurturing business intelligence solutions.
- Data Scientist
Data scientists help in gathering relevant data from multiple sources for the purpose of assessing it in order to obtain constructive conclusions. The findings obtained are impressive in dealing with various business-related issues. Based on different data patterns, past and present information, data scientists make various predictions.
- Research Scientist
Research scientists attempt to perform all-encompassing research on the applications of machine learning and machine intelligence. A research scientist is one who is proficient in the field of applied mathematics, statistics, deep learning, and machine learning.
- AI Data Analyst
An AI data analyst implements data mining, data cleaning, and data interpretation. After acquiring the data through extensive data mining, it is cleaned and then interpreted to form conclusions.
- Product Manager
In the field of AI, product managers sort out challenging problems by tactically collecting data. The product manager should be skillful in determining any problems that obstruct the business proceedings.
- AI Engineer
AI engineers are problem-solvers who initiate, analyze and employ different models of Artificial Intelligence. They efficiently handle AI infrastructure. They make use of machine learning algorithms and an understanding of the neural network to develop useful AI models.
- Robotics Scientist
The emergence of robotics in the field of AI will actually lead to a reduction in jobs. Conversely, jobs will also increase as robotics scientists are increasingly in demand by major industries for programming their machines. Robots will help in performing certain tasks efficiently.
What are the skills required to learn AI?
- Programming languages
- It is important to increase your experience with programming languages to become an expert in machine learning
- Data Engineering
- Exploratory data analysis
- Mathematics and Algorithms
- Probability and statistics
- Fluency in programming languages
- Proficiency with multi-tasking and multiple computing tools
- Flexibility and accelerated learning
This course is ideal for students from various technical and quantitative backgrounds. Students of Engineering, Business Management, Maths, and Statistics can enroll in this course to enhance their careers. Also, students can choose this course according to their work experience.
- Good knowledge of high school math
- Good knowledge of Python, as it is the major language used in Data Science (Machine Learning).
Which one should I attend?
If you are a fresher and want to step in the path of AI, then our Artificial Intelligence Engineer Course will be the right choice for you.
If you are a working professional who already having ML knowledge, and now looking to enhance your technical skills and talents in this field, then our highly popular Artificial Intelligence Expert Course would be the best option for you.
If you are senior executive or senior project manager or business owner and looking for AI adaption towards your company or department then you can go for AI for Managers Course.
Data Science: Data Science is one of the most exciting fields today. Data science involves cleaning, collecting, and manipulating data to discharge advanced data analysis.
Data used in data science is generally gathered from a variety of sources, data surrounds here and there and everywhere. All this access to data has been made possible due to advanced technologies for data collection. This data helps to make predictions and provide benefits to businesses accordingly.
Applications of Data Science:
Data Science has become a career field from many different disciplines. Data is the need of industries and hence, data science has a large number of applications.
- Fraud and risk detection
- Health care
- Internet search
- Targeted advertising
- Website recommendations
- Advanced image recognition
- Speech recognition
- Airline route plan
- Augmented reality
Who is a Data Scientist?
There are many definitions available for data scientists. In simple words, a data scientist is someone who practices the art of data science.
The Data Scientist engages in collecting, cleaning, and converting the raw data into business insights. Data cleaning and preparation are essential tasks of a data scientist’s job and the tasks demand expertise in statistics, mathematics, machine learning, and programming languages.
Why a career in Data Science
Data Science is one of the fastest-growing career options in the world nowadays. A data scientist gathers, orders, and examines massive amounts of data that come across the organization’s domain through various channels. On top of this, data scientists also work to determine the problem. All this makes the job profile of a Data Scientist more respectable.
Skills for Data Scientist:
- Programming skills
- machine learning
- data visualization
- software engineering
- data intuition
- Mathematics and Statistics
- critical thinking
- mutual skill
A bachelor’s degree in data science or a computer-related field is essential to get a foot in the door as an entry-level data scientist, although most data science careers will require a master’s degree.
Job Roles in Data Science:
- Data Analyst
The second most famous role is that of a data analyst. Data scientists and data analysis overlap somewhat. Sometimes a company will hire you, and you will be called a “data scientist” when all the work you will be doing is data analytics.
- Data engineer
Data engineers are responsible for the design, construction and maintenance of data pipelines. They need to prepare the ecosystem for businesses to test and run their algorithms for data scientists.
- Data Architect
Data architects have some common responsibilities with data engineers. They both need to make sure that the data is well-formatted and accessible to data scientists and analysts and upgrade the performance of data pipelines.
- Machine-learning Scientist
A machine learning scientist researches new data manipulation methods and sketches out new algorithms to be used.
- Machine-learning Engineer
Machine learning engineers are in great demand today. They need to be well acquainted with various machine learning algorithms such as clustering, classification, and classification and be up to date with the latest research advances in the field.
Which course will be beneficial for me?
DataMites provides comprehensive training in Data Science. You can choose from the following:
If you are a fresher looking to step into the path of Data Science, then our Data Science Foundation Course and Diploma in Data Science would be the right choice for you.
If you are a professional wishing to enhance your technical skills and talents in this field, then our highly popular Certified Data Scientist course would be the best option for you.
If you are a manager or a senior professional looking for another professional certification to add to your profile, Data Science for Managers is for you.
Glassdoor has proclaimed Data Scientist as the number one job in America for straight four years.
The US Bureau of Labor Statistics forecasts that jobs requiring data science skills would shoot up to 27.9% by 2026.
As stated by Glassdoor.com, the national average salary of a Data Scientist in India is 9,00,000 INR per annum.
How are they related to each other?
AI and Data Science are intimately linked to each other. Indeed, Data Science is just one aspect of the whole domain of AI. AI is essentially computer systems imitating human behaviors. Data science is a subset of AI, makes use of statistics, scientific methods, and data analysis to extract meaning and insight from data.
Let’s wind up:
The US Bureau of Labor Statistics has opined that by 2026 approximately 11.5 million jobs would be created in the Data Science domain. Also, it is forecasted that in 2021, heightened use of AI in businesses will create $2.9 trillion of business value and 6.2 billion hours of worker productivity. Both AI and Data Science are driving the world and changing every part of it.
DataMites provide comprehensive training in these widely popular domains of Data Science and Artificial Intelligence. In today’s world, it’s well known how much role technology plays in our lives. Those who wish to step into the data science or artificial intelligence career can expect a high salary and job assurance as an added boon. Are you interested in being part of these popular domains? If so you can enquire about our courses on Data Science and Artificial Intelligence and acquire the best training out here for your career ahead in this competitive world.