Artificial Intelligence

Artificial Intelligence is redefining industries by automating workflows and enabling smarter, more informed decisions. Edureka’s AI Certification courses help you gain practical skills in Machine Learning, Deep Learning, NLP, and Generative AI. Learn to build intelligent systems using Python, TensorFlow, PyTorch, and OpenAI. Whether you are starting or upskilling, these courses prepare you for in-demand roles in the AI-driven world.

Artificial Intelligence Bestseller Courses

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Agentic AI Certification Training Course

  • 133k Enrolled Learners
  • Weekend/Weekday
4.8 (63442)

LLM Prompt Engineering Certification Cou...

  • 5k Enrolled Learners
  • Weekend/Weekday
4.6 (550)

MLOps Certification Course

  • 9k Enrolled Learners
  • Weekend/Weekday
4.3 (2200)

Microsoft Azure AI Fundamentals AI-900 C...

  • 6k Enrolled Learners
  • Weekend/Weekday
4.3 (2200)

Introduction to Generative AI

  • 3k Enrolled Learners
  • Weekend/Weekday
4.1 (650)

Artificial Intelligence Certification Co...

  • 22k Enrolled Learners
  • Weekend/Weekday
4.7 (6100)

Reinforcement Learning

  • 2k Enrolled Learners
  • Weekend/Weekday
4 (700)

Machine Learning with Mahout Certificati...

  • 10k Enrolled Learners
  • Weekend/Weekday
4.5 (3850)
4 more available live program(s)

Artificial Intelligence Courses description

Agentic AI Certification Training Course
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Edureka’s Agentic AI Certification course equips you to build and deploy intelligent AI agents using leading frameworks like LangChain, CrewAI, LangGraph, and AutoGen. Learn fundamentals, RAG, LLMOps, agent workflows, and real-world deployment, all with hands-on projects. Master single and multi-agent systems, connect APIs, evaluate agent performance, and earn certification for top AI roles. Start your agentic AI career with expert-led, industry-recognized training.

LLM Prompt Engineering Certification Course
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Edureka’s Prompt Engineering Course teaches you how to design, refine, and optimize prompts for advanced LLMs and generative AI systems. Through hands-on tasks, real-world projects, and industry tools, you'll gain skills in prompt patterns, chatbot prompting, AI workflow automation, NLP, and LLM evaluation, preparing you for career.

MLOps Certification Course
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Edureka's online MLOps Certification Course will help you prepare for ML for Ops Architect, MLOps Engineer, MLOps Lead, etc. It covers the MLOps lifecycle, tools like MLflow and SageMaker, best practices for CI/CD, cloud platforms (AWS, Azure, GCP), cross-team collaboration, and real-world projects for hands-on deployment experience. You will learn how to apply DevOps principles to machine learning, enabling the smooth deployment and maintenance of ML models in production.

Microsoft Azure AI Fundamentals AI-900 Certification Course
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Edureka's Microsoft Azure AI 900 Certification Course is designed by industry experts to help you prepare for AI engineers, Data scientists, and Machine learning specialists job roles. The objective of this AI 900 course is to help learners prepare for Microsoft Azure AI Fundamentals: AI-900 exam. This live instructor-led training will help you understand various concepts such as basic cloud concepts, client server applications, and more.

Introduction to Generative AI
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Embark on a journey to harness the full potential of Generative AI with our expertly curated foundation course. Explore the fascinating world of AI-driven innovation, master the cutting-edge techniques directly from the leading industry experts, and apply the acquired knowledge to practice. Join us to be a part of this AI revolution and propel your career to the next level.

Artificial Intelligence Certification Course
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Edureka's advanced AI training course is designed by industry experts to help you prepare AI Engineer, Data Scientist, NLP Engineer, etc. The objective of this Artificial Intelligence training course is to help learners improve their Computer Vision, Text Processing skills, etc. AI certification course will help you understand various concepts like OS Module, Setting the NLTK Environment, POS Tagging, etc.

Reinforcement Learning
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In this course, you will be introduced to Reinforcement Learning, an area of Machine Learning. You will learn the Markov Decision Processes, Bandit Algorithms, Dynamic Programming, and Temporal Difference (TD) methods. You will be introduced to Value function, Bellman Equation, and Value iteration. You will also learn Policy Gradient methods. You will learn to make decisions in uncertain environment.

Machine Learning with Mahout Certification Training
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An online course designed to provide a blend of Machine learning & Big Data and where Mahout fits in the Hadoop Ecosystem.  

Artificial Intelligence FAQs

What is Artificial Intelligence and why it is so important to learn?

Artificial Intelligence (AI) is the rapidly growing area of computer science that is focused on helping computers perform many tasks that used to require human brains. Nowadays, AI is used to provide a variety of tasks, including the recognition of images, translation of languages and prioritization of emails as well as business workflows. Therefore, if you're using an iPhone, odds are you use apps that has AI capabilities on a regular basis. But AI has seen huge advances in recent years, and is transforming our way of life and operating in ways that seem out of the norm 10 years ago. What do we know about will the next decade's advances in this fascinating area will bring? Students who are learning in this area right now could be able to produce some of the most radical breakthroughs ever.

Since AI affects every aspect of our lives, it's becoming more useful to many career options. Indeed, at a minimum, some experience in the field is essential for an increasing number of positions and could provide you with a major advantage over your competition in numerous other fields. An education in AI can be beneficial in increasing numbers of jobs outside the field of computer science too - it's not an exaggeration to claim that if the job needs human intelligence AI can assist.

The type of people best suited to work in AI is interested in scientific tools and concepts. People who are well-suited to jobs in AI enjoy experimenting with cutting-edge techniques and concepts, for instance, machine learning, which is a component of AI that has led to the world of the self-driving car as an example. They are also enthused to work with complex pieces of software that take decisions based on data analysis. Furthermore, the kinds of people that are best equipped to perform roles in AI might want to study to create sophisticated equipment, like robotics, which works with internal software.

The experience or knowledge that you will require prior to learning about AI is an extensive understanding of science, and math, in addition to computer science, particularly data science. It's possible that you'll need knowledge of advanced math like algebra and calculus, Bayesian algorithms, plus the concepts of probability and statistics. Additionally, a knowledge of science may be beneficial to be able to master AI which includes an understanding of mechanics, physics and cognitive learning theory and processing of language.

There's not any "best" code language to write Artificial Intelligence (AI) programs. The language chosen will need to develop AI systems and algorithmic structures that are able to analyze data and change to learn from what it has learned. The most appropriate choice will depend on the kind of project as well as the task it will need to achieve. The ultimate usage of the program includes how fast it will be and the additional programs and platforms it'll need to integrate with can help to determine the best language to use. The most commonly used languages in AI programming comprise Python, C++, R Language, JavaScript, Prolog, Artificial Intelligence Markup Language (AIML), MATLAB, Haskell, LISP and Julia among others.

Some of the top courses are 

If you’re exploring AI courses, some popular options include the
  • Post Graduate Program in Generative AI and ML
  • Generative AI Masters Program
  • Agentic AI Certification
  • LLM Prompt Engineering Certification
  • MLOps Certification
These programs typically cover key areas like machine learning, deep learning, NLP, and generative AI.

If you want to learn Generative AI and Prompt Engineering, you can explore courses like the Generative AI Masters Program and the LLM Prompt Engineering Certification. These programs will help you understand large language models, prompt design techniques, and how to build practical AI-powered applications.

Yes, most AI and Machine Learning courses include hands-on projects where learners work with datasets, build machine learning models, and develop AI-based applications to apply concepts in real-world scenarios.

After completing an AI and Machine Learning course, learners gain mentorship from industry experts, earn a completion certification, and build practical skills through hands-on projects.

You can enroll in multiple AI certificate programs at the same time, depending on your learning schedule, and many learners combine courses like Generative AI, Machine Learning, or Prompt Engineering to build a broader understanding of AI technologies.

Yes, many AI courses introduce responsible AI practices and ethical considerations, including topics like data privacy, bias in machine learning models, and the responsible use of artificial intelligence technologies.

AI and Machine Learning certification courses are designed to match current industry trends by covering topics like Generative AI, large language models, and prompt engineering, while also offering hands-on projects, real-world case studies, and insights into ethical and responsible AI development.

The duration of AI courses varies depending on the program. Some certification courses can be completed in about 5 to 5.5 weeks, while advanced programs may take longer, such as 168 hours or several months for postgraduate-level training covering broader AI and machine learning concepts.

In an AI course, you typically learn core concepts such as machine learning, deep learning, natural language processing, and generative AI.

Many AI courses are designed for working professionals and offer flexible schedules, such as weekend or evening batches, allowing learners to study while continuing their jobs

Most AI certification programs provide a completion certificate that highlights the course and skills learned, and usually does not mention the mode of learning

The cost of AI courses varies depending on the program. For example, the Post Graduate Program in Generative AI and ML costs around ₹199,999, while shorter certification courses such as Agentic AI (about ₹25,999), LLM Prompt Engineering (about ₹18,199), MLOps(about 17,999), and Artificial Intelligence Certification (about ₹20,799) .

To choose the right AI or Machine Learning course, start by identifying your career goal and look for programs that cover practical tools, real-world projects, and in-demand topics like Generative AI and deep learning.

Yes, Python is commonly used in AI and Machine Learning because it is simple to learn and supported by powerful libraries like TensorFlow, PyTorch, and Scikit-learn.

Artificial Intelligence (AI) is the technology that helps machines think and make decisions like humans, while Generative AI is a type of AI that can create new content such as text, images, audio, or code.

Many industries are actively hiring AI and Machine Learning professionals, including healthcare, finance, e-commerce, technology, cybersecurity, manufacturing, and automotive sectors.

In India, AI and Machine Learning professionals typically earn around ₹6–12 LPA at entry level, ₹20–30+ LPA with experience, and top talent in specialized areas like Generative AI can earn over ₹1 crore per year.

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