EduXFactor presents to you a comprehensive up-to-date Artificial Intelligence certification program. This course will empower you with job-relevant skills and power you ahead in your career.
With this course, learn artificial intelligence by understanding key AI concepts, studying natural language processing, reinforcement learning, supervised and unsupervised learning, predictive analytics, deep neural networks, image processing, the human brain, and more today! By the end of the course, you'll be able to design your own intelligent systems using machine learning libraries, and artificial intelligence principles.
This course is suitable for everyone, from those just learning to code to experienced machine learning practitioners.
Humans and animals display natural intelligence, involving consciousness and emotionality. While it's not possible for machines to portray such natural intelligence, machines can be programmed to simulate some aspects of human intelligence, using the science of Artificial Intelligence.
A lot of artificial intelligence systems are powered by machine learning. Some of them may be powered by deep learning.
According to Google's AI researcher Francois Chollet, intelligence isn't the skill itself, but it's the system's ability to learn new things, generalize its knowledge, and apply it to unfamiliar scenarios.
AI's traditional goals include reasoning, knowledge representation, planning, learning, prescription, NLP (natural language processing), and the ability to move and manipulate objects. To develop AI systems, a cross-disciplinary approach involving mathematics, computer science, linguistics, psychology, and more is required.
There are broadly two types of AI.
A few examples of Narrow AI include:
There is another AI type, called Artificial Super Intelligence (ASI), that would surpass all human capabilities. This AI would be able to make rational decisions ( and be able to act on them), and even things like making better art and building emotional relationships.
Artificial Intelligence growth has been primarily due to 3 reasons:
Machine learning and deep learning are parts of the Artificial Intelligence domain. Machine learning is a subset of AI while deep learning itself is a subset of Machine learning itself.
Machine learning is all about giving machines the ability to learn on their own. It allows computer algorithms to automatically improve and get more accurate with experience.
Deep learning involves artificial neural networks and algorithms which learn from large amounts of data. Inspired by the human brain, these deep learning algorithms perform a task repeatedly and tweak it continually to improve the outcome.
To have a great career and earn a handsome salary! You want that, right?
AI jobs now account for an average of 15-20% of jobs in most companies, with more than 130 million roles available across all major sectors. Top companies like Amazon, Microsoft, Google, Nokia, and others continually recruit AI talent.
Listed below are a few reasons why you should learn Artificial Intelligence:
No matter what your background is, you can take this AI course. You just need to be passionate about numbers, and love challenging problems.
But your journey to becoming a successful AI (or data) scientist would be much easier if:
AI development is possible in two domains - engineering and programming. Listed below are some of the leading AI-based career options you can break into after completing the Artificial Intelligence course:
Listed below are the five most popular algorithms that all AI scientist should know (we cover all of these):
Yes! This course covers all the widely used popular Neural Networks. We also make sure to update our curriculum if new neural algorithms get developed and train our students on the same.
No! Just a basic laptop should be sufficient for most of your personal AI projects.
Here are a few datasets sources you can rely on:
Our team has compiled a list of the best data science resources including study materials, cheat sheets, data sets, videos, which you get access to when you join our course.
EduXFactor has its dedicated Placement Assistance Team(PAT). The team helps you in all the aspects of securing your dream job, from improving your marketability to conducting mock interviews.
NO! Our assistance program will only maximize your chances of landing a successful job as the final selection decision is always dependent on the recruiter.
"EduXFactor's AI program is brilliantly organized and was easy to follow. Though I was a beginner when I opted for the course, still I was able to grasp the core concepts easily. I'm happy as I have been able to significantly expand my portfolio after joining the course!"
"As an AI professional, you must know right from organizing and selecting the data to build and test your own models. I'm glad that this course has allowed me to master all the AI aspects. What I also loved was that the trainer gave some great tips about data-based careers."
"Great course and delivers what it promises. I'm a computer engineer and decided to opt for this course to build my AI skills. One thing I want to clear to all course takers is that you need some knowledge of coding before deciding to opt for this course. Knowledge of TensorFlow would be beneficial as many projects in the course use a method from that package."