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You can learn concepts online with recorded sessions, and clarify your doubts at the end of the week with online mentoring sessions with an industry expert.

We believe that learning is continuous and hence all learning material – lecture notes, online content and supporting material – will be available through the online platform for 3 years after completion of the program.

Artificial Intelligence is the technology used to build intelligent machines that act as humans do. The AI enabled systems to mimic human behavior and perform tasks as we do. This intelligence is built using complex algorithms and mathematical functions. Artificial Intelligence is the technology that is being applied in almost every industry and business. AI is literally everywhere. We are witnessing the presence of Artificial Intelligence every single day of our lives. Artificial Intelligence is applied in smartphones, smart window treatments, banking, self-driving cars, healthcare, social media, video games, surveillance, and many other aspects of our daily life.

Machine Learning is an important subset of Artificial Intelligence. Machine learning is one of the most interesting careers that you could choose. Machine learning is perceived as one of the fastest-growing technologies. Machine learning is a subset of artificial intelligence that provides systems the ability to automatically learn and progress from experience without being specifically instructed. By employing Machine Learning techniques, businesses can automate routine tasks and maximize profits. Hence, pursuing a PG in achine learning and artificial intelligence would fetch you the best career opportunities.

Artificial Intelligence is one of the most latest trending technologies. Artificial Intelligence is not just about creating robots or building computer systems that can think as humans do. Artificial Intelligence is a technology that understands humans and makes their lives easy. From Apple's Siri to Google's voice assistant, from facebook friend recommendations to Netflix's movie recommendations, Artificial Intelligence is playing the most pivotal role in making our lives easy. AI in simple words can be defined as an interface to us and the computer devices, it is the technology that makes the systems understand humans so well. The technology of AI is just growing at a rapid pace and the number of industries and businesses adapting this technology is reaching the skies. There is a huge demand for AI professionals across the globe. Hence, taking up the best Artificial Intelligence course and pursuing a career in this domain stands as the best choice you could make for yourself.

The pay scale offered in the domain of Artificial Intelligence is one of the major factors that is motivating many to pursue a career in this domain. The job roles offered in this domain are considered to be one of the highest-paid across the globe. In the United States, the pay scale of Artificial Intelligence and Machine Learning professionals ranges from $90k to $305k per annum. The average pay scale is expected to be $164,769 per annum. While in India it ranges from 6 to 35 lakh per annum and the average pay scale is estimated as 21,86,857 per annum. Hence, the demand for Artificial Intelligence and Machine Learning courses is at its peak across the world.

If you are interested in taking up an Artificial Intelligence training, choose to learn the prerequisites and fundamentals of artificial intelligence. Here are a few obvious prerequisites that assist you in mastering the techniques of Artificial Intelligence and Machine Learning thoroughly. 1. Programming languages As AI and ML are all about training computer systems, it is essential to learn programming languages. Programming languages are the basic source to interact with the machines. Java, C++, R, Python, etc are a few languages that are extensively used in machine learning. Python specifically is the most popular programming language used by most AI and Machine Learning professionals. 2. Mathematics and Statistics You need not be an expert in mathematics to learn Artificial Intelligence and Machine Learning technologies. Nevertheless, you shouldn't be a novice to several mathematical concepts that are applied in Artificial Intelligence and Machine Learning. A fundamental understanding of calculus, probability, statistics is crucial to understand the concepts of AIML. 3.Data Visualisation Tools Data Visualisation is one of the primary job roles of AI professionals performed on a daily basis. Hence, being good at several data visualization tools such as Tableau, Microsoft Power BI and more would assist you to learn the techniques of AI at a faster pace. Besides the above-mentioned prerequisites, having a concise understanding of the fundamentals of Artificial Intelligence would also promote a great understanding of the several concepts of Artificial Intelligence.

The Artificial Intelligence Courses designed by Great Learning are suitable for someone who is: As computer science with artificial intelligence is an exciting combination, a developer who wants to become a Machine Learning Engineer or Artificial Intelligence Scientist would take up an AI learning course. Analytics Managers that drive a team composed of Analysts could learn AI. Analytics professionals that desire to work in AI or Machine Learning Fresh graduates who want to secure a career in Machine Learning or AI could take up the pg in artificial intelligence courses. Managers or Business owners who desire to become AI-enabled professionals can opt for the AI for leaders course. Experienced working professionals that want to employ AI in their existing work field.

The technology of Artificial Intelligence has a lot more to contribute to any industry than individuals do. Hence many businesses are applying advanced artificial intelligence to draw the best outcomes. Let us understand a few of the benefits. Building better business strategy: By employing Artificial Intelligence, organizations can develop the best business plan. Artificial Intelligence renders solutions to come up with the best business plan that supports companies' flourish. Today, most of the top-notch companies are applying Artificial Intelligence in project and operation management to obtain better outcomes. Better Research and Inventions: Organizations must be conscious of the latest trends in their market. An AI-enabled business team would shape their business in the best way that suits the requirements of end customers. An AI-enabled organization would learn current technological trends, plan a business strategy that delivers the best services. Businesses with a good vision and well versed with AI can compose a groundbreaking solution. AI assists businesses to add value to their products by adapting themselves to the latest trends in the market, technology. Cost Reduction: Cost reduction is one of the major benefits that AI contributes to any business. Small and medium scale certainly strive for their endurance considering their limited budget and resources. With a substantial demand for AI professionals, these companies may not be able to afford such resources to meet their needs. Hence, businesses need to adopt AI so that they can reduce costs to the company. AI in business draws more customers that explore solutions for their problems. Therefore, taking up an AI certification course would fetch you with the best career opportunities in several industries in the market.

Many believe that Artificial Intelligence and Machine Learning are limited to the IT industry. AI is being applied everywhere in every industry across the world. Let us understand how AI is being employed in several industries today. Customer Support: The domain of AI is observed to replace many customer support job roles. Today, most websites are using chatbots to assist customers. The AI-enabled chatbot systems are capable of addressing customer's problems and provide the user with the most meaningful product recommendations at a faster pace. E-commerce: With the employment of an AI recommendation system, E-commerce websites are offering personalized shopping experiences to their users. The systems study the user's past purchase records and recommend the most suitable products. The system learns the customer's choice and presents the most meaningful recommendations. This makes the user experience a personalized shopping experience. In this way, AI is benefitting the E-commerce industry by enhancing the customer experience. Today, a lot of e commerce giants such as Amazon employ AI to drive their businesses. Artificial Intelligence in Social Media Social Media has become an indispensable part of our daily lives. We spend most of our time on Social media platforms such as Facebook, Twitter, Instagram, and more. There is a huge amount of data being generated through social media websites in the form of messages, tweets, posts, and more. In social media platforms like Facebook, Artificial Intelligence is used for face recognition while Machine Learning and Deep Learning concepts are used to recognize the facial features of people and automatically suggest you tag them. Twitter's AI is being used to identify hate speech and terroristic language in tweets by employing Natural Language Processing. Hence, check out the best courses in Artificial Intelligence, learn AI today, and get into the most in-demand job roles of the 21st century

An “intelligent” computer uses AI to think like a human and perform tasks on its own. Machine learning is how a computer system develops its intelligence. One way to train a computer to mimic human reasoning is to use a neural network, which is a series of algorithms that are modeled after the human brain.

While artificial intelligence encompasses the idea of a machine that can mimic human intelligence, machine learning does not. Machine learning aims to teach a machine how to perform a specific task and provide accurate results by identifying patterns.

With a background in machine learning, you can get a high-paying job as a Machine Learning Engineer, Data Scientist, NLP Scientist, Business Intelligence Developer, or a Human-Centered Machine Learning Designer.

In fact, today this type of AI we sometimes call GOFAI – an acronym which stands for “good old-fashioned AI”. GOFAI was based on a human-understandable symbolic system. It is an AI without machine learning.

A virtual assistant like Siri is an example of an AI that will access your contacts, identify the word “Mom,” and call the number. These assistants use NLP, ML, statistical analysis, and algorithmic execution to decide what you are asking for and try to get it for you. Voice and image search work in much the same way.

With conversational AI, voice-enabled devices like Amazon Echo are enabling the sort of magical interactions we've dreamed of for decades. Through a voice user interface (VUI), voice services like Alexa can communicate with people in ways that feel effortless, solve problems, and get smarter over time.

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.

The good news is that, as discussed, there are skills that AI cannot master: strategy, creativity, empathy-based social skills, and dexterity.

AI cannot answer questions requiring inference, a nuanced understanding of language, or a broad understanding of multiple topics. In other words, while scientists have managed to "teach" AI to pass standardized eighth-grade and even high-school science tests, it has yet to pass a college entrance exam

Image recognition. Image recognition is a well-known and widespread example of machine learning in the real world. It can identify an object as a digital image, based on the intensity of the pixels in black and white images or colour images.

Apple's Siri, Google Now, Amazon's Alexa, and Microsoft's Cortana are one of the main examples of AI in everyday life. These digital assistants help users perform various tasks, from checking their schedules and searching for something on the web, to sending commands to another app

The four different types of machine learning are: Supervised Learning. Unsupervised Learning. Semi-Supervised Learning. Reinforced Learning.