Artificial Intelligence

Artificial Intelligence is one of the fastest-growing and most exciting fields in technology today! Knowledge of Deep Learning and Machine Learning is highly valued by companies that are creating cutting-edge technology and professionals with these skills can expect their career to skyrocket in the coming years. Edureka offers certifications and training in TensorFlow and Mahout to help you take advantage of the career opportunities in Artificial Intelligence.

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Artificial Intelligence Certification Co...

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Introduction to Generative AI

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Machine Learning Operations Certificatio...

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Agentic AI Certification Training Course

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Machine Learning Course Masters Program

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Artificial Intelligence Courses description

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.

ChatGPT Training Course: Beginners to Advanced
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Edureka’s ChatGPT Course will help you effectively interact with the biggest revelation in the ChatGPT. You will be able to upgrade your prompt engineering skills by integrating ChatGPT plugins and ChatGPT APIs to enhance your efficiency. Unlock your potential by crafting your very own chatbot, harnessing the knowledge gained from real-life applications and projects covered in this course, and taking a sneak peek into the future with GPT-4 and ChatGPT Plus.

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.

Machine Learning Operations 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.

Agentic AI Certification Training Course
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Edureka's Agentic AI Certification course is designed by industry experts to help you prepare for a Generative AI Engineer, LLM Engineer, AI Agent Engineer, etc. The objective of this AI agents training is to help learners improve their Agentic AI Development, AI Architecture Design, etc. This training will help you understand various concepts like Conversation Patterns, Optimizing Performance and Efficiency in No-Code AI, etc. You’ll learn key concepts with hands-on projects to build practical skills for real-world AI applications.

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.

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