Artificial Intelligence and Machine Learning Courses

Excel in one of the top emerging fields globally. Understand the ideas that give rise to modern technologies like natural language processing (NLP), computer vision, speech generation, biometrics, and chatbots. Enrol in artificial intelligence and machine learning courses to transform how you work, live, and interact with technology.

Artificial Intelligence and Machine Learning

25% to 35%

annual growth for India's AI market

$17 billion

projected for India's AI market by 2027

Top 5

globally in AI expansion, fourteen-fold increases in India


of large Indian enterprises integrated AI into operations

Artificial Intelligence and Machine Learning Certificate Courses

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Guide to Artificial Intelligence and Machine Learning

Concepts: Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly transforming the Indian economy by boosting sectors like healthcare, finance, digital advertising, and content creation. According to a 2022 LinkedIn report, AI and ML are among the top three digital skills that professionals aim to prioritize in 2023. With the rapid use of ML applications, this trend is likely to grow in the next few years. However, the increase in AI and ML jobs also means high competition in the market.

Natural Language Processing (NLP) is a branch of computer science that focuses on the ability of a computer program to interpret and manipulate human language in spoken or written form. NLP research and development has picked up speed in India in the last few years, primarily to support the digital India initiative. However, there are challenges to implementing NLP techniques, including ambiguity, lack of context, data quality and quantity, and complex syntax. Practical AI and ML courses play a vital role in training professionals.

Reinforcement learning is a subset of Machine Learning (ML) in which an agent is trained in a specific environment to provide optimum results. It focuses on improving model performance through continuous learning or trial and error. Some of its popular examples are autonomous cars, automatic image processing, chatbots, and tools providing personalized recommendations. A competent curriculum for reinforcement learning emphasizes that AI and ML courses should include practical projects and continual learning. This is where AI and ML courses online bridge the gap.

FAQ on Artificial Intelligence and Machine Learning

Artificial intelligence is a branch of computer science that involves building machines capable of performing tasks that require human intelligence. It combines computer science and large data sets to enable problem-solving.

Here are a few examples of AI in real-life:

  • Chatbots use AI to generate an automated response to customer’s queries
  • Recommendation engines use AI to provide automated recommendations to the users based on their viewing habits

Machine learning is a branch of artificial intelligence and computer science that focuses on using data and algorithms to improve the accuracy of machines that imitate the human brain. It is predominantly used in data mining and big data to uncover insights and make calculated predictions.

Here’s the advised career path for aspirants aiming to make a career in AI and ML.

  • Artificial intelligence specialist/ Machine learning specialist
  • Machine learning researcher/AI Researcher
  • Machine learning engineer/AI Engineer

Artificial intelligence and machine learning are diverse fields with exciting job opportunities. Below we have listed the common job titles in AI and ML.

  • Algorithm Engineer
  • Machine learning engineer
  • Software Engineer
  • Computer vision Engineer
  • Artificial intelligence engineer
  • Business Intelligence Developer
  • Research Scientist
  • Natural Language Processing Scientist
  • Computational Linguist
  • Software Developer

Here are the skills aspirants usually learn in an artificial intelligence and machine learning course:

  • Programming language
  • Leadership and project management skills
  • Improved problem-solving ability
  • Technical know-how like building predictive models, data forecasting, statistical models, etc.

These skills will enhance your career prospects and expand your knowledge in building impressive AI and ML models to track customer behaviour and changes in the market, among others.

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