Curious about AI (Artificial intelligence), here is the complete details with the topic ‘WHAT ARE ARTIFICIAL INTELLIGENCE’ step-by-step. Artificial intelligence (AI) is the simulation of human intelligence in machines that are programmed to think and act like humans. The term can also refer to any machine that has human-like characteristics like learning and problem-solving. A few examples include speech recognition, problem-solving, learning, and planning.
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Artificial Intelligence skillsets:
- The candidate should have a good knowledge of programming languages among which Python, R and Java Programming are the most necessary.
- The candidate should have a good knowledge of Linear Algebra and Statistics.
- The candidate should have a good knowledge of Signal processing techniques.
- The candidate should be well-versed in neural network architectures.
The following are the prerequisites for the Artificial Intelligence course:
- Candidates must have a 10+2 diploma from a recognized board with science, primarily Math and Physics, as compulsory subjects.
- The aggregate score in the 10+2 board exam should be at least 50%.
- The prerequisites for different types of artificial intelligence courses vary. Certificate courses are open to any student in the tenth grade.
- For students interested in pursuing artificial intelligence courses, many institutes require admission tests. Admission to their institutes is entirely merit-based.
Average salary:
The average salary of a fresher in the field of Artificial Intelligence is 6 lakhs per annum.
Top Colleges in India to learn Artificial Intelligence:
| College Name | Fees for Artificial Intelligence Course |
| Indian Institute of Technology (Hyderabad) | 1.15 Lakhs |
| Chandigarh University (Chandigarh) | 4,80,000 Lakhs |
| Indraprastha Institute of Information Technology (Delhi) | 10.8 Lakhs |
| Vellore Institute of Technology (Bhopal) | 7.92 Lakhs |
Note: The fee details given in the above table may change according to the location and University regulations.
Some of the job sectors after doing an Artificial Intelligence course are as follows:
1. Machine Learning Engineer:
A machine learning engineer (ML engineer) is an information technology professional who specializes in researching, developing, and designing self-running artificial intelligence (AI) systems to automate predictive models. Machine learning engineers design and develop AI algorithms capable of learning and making predictions, which is what machine learning is all about (ML).
Requirements for becoming a Machine Learning Engineer are as follows:
- A bachelor’s degree in computer science, data science, mathematics, or a closely related field is required.
- A master’s degree in computational linguistics, data analytics, or a related field is preferred.
- At least two years of experience in machine learning engineering.
- Comprehensive knowledge of machine learning frameworks, libraries, data structures, data modeling, and software architecture.
Responsibilities of a Machine Learning Engineer:
- Working with managers to define and refine machine learning goals.
- Creating self-running machine learning systems and artificial intelligence (AI) software to automate predictive models.
- Transforming data science prototypes and implementing appropriate machine learning algorithms and tools
- Making certain that algorithms generate accurate user recommendations.
- We can convert unstructured data into useful information by using image auto-tagging and text-to-speech conversions.
2. Data Scientist:
A Data Scientist analyses and interprets complex digital data, such as website usage statistics, to assist businesses in making decisions. This is the demanding career after learning Artificial Intelligence course.
Requirements for a Data Scientist:
- A master’s or doctoral degree in applied mathematics or statistics.
- 5 years or more of industry experience.
- Coursework in advanced machine learning and programming.
- Understanding of data querying languages and statistical or mathematical software.
A Data Scientist’s responsibilities are as follows:
- Project-related meetings with team members.
- Data collection and analysis
- Automation and integration of processes.
- Developing complex mathematical models that incorporate business rules and requirements.
3. Business Intelligence Developer:
Through the creation of reporting systems, a Business Intelligence (BI) Developer generates financial and market intelligence to aid in business decision-making. To solve organizational problems, the BI Developer uses and maintains warehouse data. The main target of Artificial Intelligence course is to provide a career which help you to take in the higher position with best salary packages.
Requirements for a BI Developer:
- A bachelor’s degree in computer science, engineering, or a related field is required.
- Knowledge of data warehouse design.
- You must be familiar with business intelligence technologies.
- Excellent problem-solving and analytical abilities.
- Extensive focus on detail.
- The ability to collaborate effectively in a group setting.
The responsibilities of a BI Developer are as follows:
- Gathering warehouse data by analyzing product, market, and share trends.
- Developing technical specifications based on business requirements.
- Developing reporting systems that make information easily accessible to decision-makers.
- Reports are generated from warehouse data to assist with business decision-making and performance monitoring.
- Platform maintenance for data analytics.
- Evaluating and improving existing business intelligence systems.
- Creating and delivering quality reports to customers, as well as performing report quality assurance checks.
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4. Research Scientist:
Research scientists develop, formulate, and carry out investigative protocols to address gaps in scientific knowledge. The insights gained by research scientists are then disseminated by publishing them in authoritative documents. This is the most demanding career after learning the Artificial Intelligence course.
Requirements for a Research Scientist:
- Possession of a relevant master’s degree.
- It is recommended that you have a doctorate in the relevant field.
- Completing a postdoctoral course is extremely beneficial.
- Existing publications in reputable publications.
- Fine-tuned data analysis techniques.
- Excellent written and oral communication skills.
- Outstanding interpersonal skills.
- Dedicated to a fruitful collaboration.
The responsibilities of a Research Scientist are as follows:
- Examining authoritative publications for understudied topics.
- Developing and presenting novel, scientifically sound research ideas.
- Co-directing joint research projects.
- Taking the lead on data collection and interpretation.
- Promoting beneficence while mitigating risks.
The above job profile salaries per annum are given in below table:
| Job Profile | Salary per annum |
| Machine Learning Engineer | ₹8,93,562 |
| Data Scientist | ₹10,00,000 |
| Business Intelligence Developer | ₹5,92,071 |
| Research Scientist | ₹8,18,420 |
Note: The above salaries may change a bit according to the company and state you are working in the field of Artificial Intelligence
The above job profiles salaries in other countries after Artificial Intelligence learning are:
| Country | Machine Learning Engineer Job Profile average salary per annum | Data Scientist Job Profile average salary per annum | Business Intelligence Developer Job Profile average salary per annum | Research Scientist Job Profile average salary per annum |
| United Kingdom | £51,487 | £54,912 | £72,200 | £37,050 |
| United States | $112,288 | $1,17,212 | $94,161 | $86,663 |
| Indonesia | IDR 178,000,000 | IDR 124,241,114 | IDR 382,303,640 | IDR 144,000,000 |
| Switzerland | CHF 97,591 | 199,000 CHF | CHF 133,000 | CHF 99,584 |
| Australia | $113482 | $116,074 | $114,858 | $ 78,042 |
Conclusion:
We learned about various job profiles and salaries after taking an Artificial Intelligence course in the preceding article. We have also learned about top colleges in India providing Artificial Intelligence course and their course fees. In India, artificial intelligence is still in its early stages, but it is being used to find smart solutions to modern problems in almost all major sectors, including agriculture, healthcare, education and infrastructure, transportation, cyber security, banking, manufacturing, business, and hospitality.
Artificial Intelligence Frequently Asked Questions:
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What exactly is artificial intelligence?
Artificial intelligence is a technology that allows machines to mimic the work of the human brain. Alexa, self-driving cars, chess-playing computers, and movie recommendations on Netflix and Spotify are all examples of modern AI technology.
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What are the common terms associated with AI?
AI is a rapidly expanding and evolving field of technology. Some common terms associated with AI include:
1. Algorithm
2. Deep Learning
3. Expert System
4. Cognitive Science
5. Artificial Neural Networks -
Which companies hire AI graduates?
Many industries, including the IT industry, business houses, marketing domains, and the financial market, hire AI graduates. Companies such as IBM, Microsoft, Lenovo, Samsung, Adobe, Accenture, and many others hire AI graduates.
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When hiring AI professionals, what specific skill sets do employers look for?
When hiring AI professionals, employers typically look for skills such as applied mathematics, machine learning, and computational statistics.
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What areas of specialization are available in the Artificial Intelligence course?
Machine Learning, Deep Learning, Python, Data Analysis, Language Processing, and other specialization areas are covered in the AI course.
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What are the basic eligibility requirements for pursuing an AI course after passing the 12th-grade exam?
In order to pursue an AI course, candidates must have completed 10+2 from a recognized board with Science. Physics and mathematics should be required courses. The aggregate score on the board exam should be at least 50%.
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What is the average salary for an AI professional?
The salary range for an AI professional is between INR 4.4 L and INR 7.3 L.
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Are AI courses available online?
Yes, AI courses are available online. Udemy, Coursera, and edX, are some of the online platforms that provide AI courses.
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What are the prerequisites for a Bachelor of Science in AI program?
To apply for a bachelor’s program in AI, candidates must pass entrance exams such as JEE Mains, VITEEE, and UPESEAT.
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What is artificial intelligence and machine learning?
Artificial intelligence (AI) is a technology that allows machines to mimic human behaviour. Machine learning is a subset of artificial intelligence that allows a machine to learn from past data without being explicitly programmed.
