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Career with artificial intelligence (AI)

What is artificial intelligence (AI)? 

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.

यह सभी जानकारी हिंदी में पढने के लिए वेबसाईट पर उपलब्ध गूगल ट्रांसलेटर का उपयोग करे |

Examples of artificial intelligence include:
  • Smart assistants like Siri and Alexa
  • Pandora and Netflix, which provide personalized song and entertainment recommendations
  • Chatbots
  • Robotic vacuum cleaners
  • Self-driving vehicles
  • Facial recognition software

How does AI work?

As the hype around AI has accelerated, vendors have been scrambling to promote how their products and services use it. Often, what they refer to as AI is simply a component of the technology, such as machine learning. AI requires a foundation of specialized hardware and software for writing and training machine learning algorithms. No single programming language is synonymous with AI, but Python, R, Java, C++ and Julia have features popular with AI developers.

In general, AI systems work by ingesting large amounts of labeled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states. In this way, a chatbot that is fed examples of text can learn to generate lifelike exchanges with people, or an image recognition tool can learn to identify and describe objects in images by reviewing millions of examples. New, rapidly improving generative AI techniques can create realistic text, images, music and other media.

AI programming focuses on cognitive skills that include the following:
  • Learning : This aspect of AI programming focuses on acquiring data and creating rules for how to turn it into actionable information. The rules, which are called algorithms, provide computing devices with step-by-step instructions for how to complete a specific task.
  • Reasoning : This aspect of AI programming focuses on choosing the right algorithm to reach a desired outcome.
  • Self-correction : This aspect of AI programming is designed to continually fine-tune algorithms and ensure they provide the most accurate results possible.
  • Creativity : This aspect of AI uses neural networks, rules-based systems, statistical methods and other AI techniques to generate new images, new text, new music and new ideas.

MS-CIT  : Intraduction and course details read in your language

Why is artificial intelligence important?

AI is important for its potential to change how we live, work and play. It has been effectively used in business to automate tasks done by humans, including customer service work, lead generation, fraud detection and quality control. In a number of areas, AI can perform tasks much better than humans. Particularly when it comes to repetitive, detail-oriented tasks, such as analyzing large numbers of legal documents to ensure relevant fields are filled in properly, AI tools often complete jobs quickly and with relatively few errors. Because of the massive data sets it can process, AI can also give enterprises insights into their operations they might not have been aware of. The rapidly expanding population of generative AI tools will be important in fields ranging from education and marketing to product design.
Advances in AI techniques have not only helped fuel an explosion in efficiency, but opened the door to entirely new business opportunities for some larger enterprises. Prior to the current wave of AI, it would have been hard to imagine using computer software to connect riders to taxis, but Uber has become a Fortune 500 company by doing just that.
AI has become central to many of today's largest and most successful companies, including Alphabet, Apple, Microsoft and Meta, where AI technologies are used to improve operations and outpace competitors. At Alphabet subsidiary Google, for example, AI is central to its search engine, Waymo's self-driving cars and Google Brain, which invented the transformer neural network architecture that underpins the recent breakthroughs in natural language processing.

Advantages of AI

  • Good at detail-oriented jobs. AI has proven to be just as good, if not better than doctors at diagnosing certain cancers, including breast cancer and melanoma.
  • Reduced time for data-heavy tasks. AI is widely used in data-heavy industries, including banking and securities, pharma and insurance, to reduce the time it takes to analyze big data sets. Financial services, for example, routinely use AI to process loan applications and detect fraud.
  • Saves labor and increases productivity. An example here is the use of warehouse automation, which grew during the pandemic and is expected to increase with the integration of AI and machine learning.
  • Delivers consistent results. The best AI translation tools deliver high levels of consistency, offering even small businesses the ability to reach customers in their native language.
  • Can improve customer satisfaction through personalization. AI can personalize content, messaging, ads, recommendations and websites to individual customers.
  • AI-powered virtual agents are always available. AI programs do not need to sleep or take breaks, providing 24/7 service.

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Disadvantages of AI

  • Expensive.
  • Requires deep technical expertise.
  • Limited supply of qualified workers to build AI tools.
  • Reflects the biases of its training data, at scale.
  • Lack of ability to generalize from one task to another.
  • Eliminates human jobs, increasing unemployment rates.

What Does an AI Professional Do?

Since artificial intelligence is an increasingly widespread and growing form of technology, professionals who specialize in AI are needed now more than ever. The good news is that the AI professional field is full of different career opportunities, which means you can take on different roles and responsibilities depending upon the position, your experience and your interests.

The need for skilled AI professionals spans nearly every industry, including:
  • Financial services
  • Healthcare
  • Technology
  • Media
  • Marketing
  • Government and military
  • National security
  • IoT-enabled systems
  • Agriculture
  • Gaming
  • Retail

Professional AI Skills in Demand for 2024

If you’re looking to enter the professional world of AI, it’s important to make sure you have the right skills, which will set you apart from other candidates and help you land the perfect position. First, competencies with calculus and linear algebra are extremely important. Also, if you’re interested in AI, you should have some knowledge and experience in at least one of the following programming languages:
  • Python
  • C/C++
These are the top 5 skills required for AI jobs:
  • Communication skills
  • Knowledge and experience with Python specifically (in general, proficiency in programming language)
  • Digital marketing goals and strategies
  • Collaborating effectively with others
  • Analytical skills
The Intellipaat blog also recommends these additional skills for AI professionals:
  • Solid knowledge of applied mathematics and algorithms
  • Problem-solving skills
  • Industry knowledge
  • Management and leadership skills
  • Machine learning

How to Start a Career in Artificial Intelligence

If you aren’t already in the industry, the first step is to conduct research, which includes talking to current AI professionals and researching reputable colleges and programs. According to Springboard, hiring managers will probably require you to hold at least a bachelor’s degree in math and basic computer technology (but in many cases, a bachelor’s degree will only qualify you for entry-level positions).

Undergraduate degrees in computer science or engineering are a good starting point, but a master’s degree in artificial intelligence can provide firsthand experience and knowledge from industry experts that can help you secure a position and set you apart from other candidates.

Dan Ayoub, general manager for mixed reality education at Microsoft, explained in a Best Colleges article that AI is still a relatively emerging area, colleges and universities still “differ in how specialized a degree you may be able to get.” He noted that computer science and familiarity with data science, machine learning, and Java are good places to begin, but that degree programs may offer specialized training. “There are a number of new undergraduate and graduate programs popping up every day that are designed to prepare someone specifically to work in AI.”

Those interested in pursuing a master’s in artificial intelligence should have a strong foundation of knowledge and experience consisting of a combination of math, science, computer and data proficiency.

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How many years is the AI course?

Highlights - Artificial Intelligence
DurationUG: 3-4 years PG: 2 years
Admission ProcessUG: Entrance Exam PG: Entrance Exam
Entrance ExaminationJEE Main, JEE Advanced, GATE
EligibilityUG: 10+2 Examinations and Entrance Exam PG: BE/B.Tech Degree in Engineering

Can I join AI after 12th?

To pursue a career in AI after 12th, you can opt for a bachelor's degree in fields like computer science, data science, or AI. Focus on learning programming, mathematics, and machine learning concepts. Further, consider pursuing higher education or certifications to specialize in AI.

What is the fees of AI training?

Artificial Intelligence Course Fees and Duration [2024]
Most of the full-time courses and detailed programs in artificial intelligence (and related domains like machine learning, data science, business intelligence, analytics etc.) are offered in a fee range between INR 1,00,000 to INR 5,00,000.

What is the salary of AI engineer?

The average salary for AI Engineer is ₹24,77,209 per year in the India. The average additional cash compensation for a AI Engineer in the India is ₹14,77,209, with a range from ₹14,13,359 - ₹15,41,059. Salaries estimates are based on 287 salaries submitted anonymously to Glassdoor by AI Engineer employees in India.

Which college provide AI in India?

  • Top 5 AI colleges in India
  • IIT Hyderabad. The programme is provided as a BTech and MTech in Artificial Intelligence at the undergraduate and graduate levels. ...
  • Indraprastha Institute of Information Technology. ...
  • SRM Institute of Science and Technology. ...
  • Chandigarh University. ...
  • IIT Guwahati.

What is the minimum age for AI?

Several studies have proved that young minds are quicker learners than any other age of life. So, we can consider the least possible age i.e. 2-3 years of age will be perfect to start exploring AI.

Can I study AI online?

Become an artificial intelligence engineer online
It may be helpful to earn artificial intelligence certifications through online classes. Those who want to earn a traditional degree rather than take one AI course may also consider a bachelor's degree or master's degree in data science or a related field.

Which AI field is best for future?

Within AI, there are various kinds of jobs needing specific skills and experience.
  • Machine Learning Engineer. ...
  • Data Scientist. ...
  • Business Intelligence Developer. ...
  • Research Scientist. ...
  • Big Data Engineer/Architect. ...
  • Software Engineer. ...
  • Software Architect. ...
  • Data Analyst.

How many AI colleges are there in India?

More than 130 Artificial Intelligence Colleges in India includes both Private and Government/ Public institutions.

Following Artificial Intelligence colleges are available in India :

  • IIT Hyderabad
  • Chandigarh University
  • VIT Vellore
  • SRM Institute of Science and Technology
  • IIT Delhi
  • IIT Guwahati
  • Indian Institute Of Technology Roorkee
  • Jain University
  • Lovely Professional University
  • Parul University
  • SASTRA University
  • D y Patil International University
  • Amet University
  • Chennai Institute of technology
  • Great Lakes International University
  • Mahindra École Centrale School of Engineering
  • Sathyabama Institute of Science and Technology
  • Amrita Vishwa Vidyapeetham, Amritapuri
  • Gandhinagar University
  • Indraprastha Institute of Information Technology
  • Amity University
  • Indian Institute Technology
  • Ahmedabad Institute of Technology
  • Graphic Era (Deemed to be University)
If you want to pursue a career in Artificial Intelligence and you are not satisfied with this knowledge, you can visit any nearby college or university. After getting complete information you can make your career in it. Further, the demand for technology is increasing day by day. So I think this can be a good option for your career.
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