Artificial intelligence is the automation and simulation of human intelligence inside machines. Today’s world is full of automation around us and is being called smart because of the use of artificial intelligence.
Machine learning is a subset of artificial intelligence. Hence all the development machine learning has seen over the years has helped the growth of artificial intelligence.
Artificial Intelligence is a new growing trend in the field of computer science. This technology is so diverse that even your very own platform Verzeo, is backed by AI. It has numerous applications everywhere, from as simple as your smartphone camera to applications in creating complex Learning-based models required for Quantum Computing.
Artificial Intelligence: Types explained
There are five types of Artificial Intelligence classifications present around us.
Reactive is the oldest type of artificial intelligence. It uses human intelligence for specific purposes, yet the functions are minimal and don’t work on memory-based data. Therefore they cannot depend on their memory to respond to new inputs and hence work with only a set of inputs.
- LIMITED MEMORY
Limited memory gives the reactive AI an additional function of learning from memory. This is the most used type of Artificial Intelligence. It can learn from its memory enabling the machine to respond to new information and inputs. Most of the things around us come under this type.
- THEORY OF MIND / ARTIFICIAL GENERAL INTELLIGENCE
Theory of mind will enable the machine to understand the subject it is interacting with in a much better way. It will be able to understand how the subject is thinking and has its beliefs, needs, and emotions aligned. Theory of mind is still a work in progress and scientists are working on it to develop.
- SELF AWARE/ ARTIFICIAL SUPERINTELLIGENCE
As the name suggests, Self Aware is the type of artificial intelligence that is shown in futuristic movies where machines analyze everything on their own. These machines, just like humans, get self-aware which is getting their own emotions, beliefs, and other senses. It is still a hypothetical state of Artificial Intelligence and also a benchmark for AI tech. This has been a burning topic ever since, as we are still not sure if this will be a boon or bane for the world.
- ARTIFICIAL NARROW INTELLIGENCE
These machines can only perform certain tasks and cannot perform out of their areas. They do have the latest technology of AI provided in them. They are structured for specific purposes making their functions very narrow. They can correspond to both reactive and limited memory types of Artificial Intelligence.
Why should you learn Artificial Intelligence?
- Abundant Job Oppotunities
Job opportunities have been growing ever since artificial intelligence has taken a swirl in the past decade. With the rise of the tech world with artificial intelligence, the job opportunities will only grow exponentially for the field. With the fact that every machine is being developed into a smarter version of itself using the tech, there is no doubt when it comes to the future of artificial intelligence.
- Influence in the automotive industry
Automation in the automotive industry has been quick for the past few years. There have been quite a few cars that have already been introduced in the market and are running on the roads. In the coming years, the automobile industry’s development will spike with automation taking over completely.
- Healthcare transition
From heart surgeries to detecting cancer, Artificial intelligence has helped healthcare professionals in major areas. Even accurate prescriptions can be prescribed now using artificial intelligence.
Artificial intelligence is being used everywhere in the world, In every industry, artificial intelligence is making a place for itself so the work is done efficiently and in an advanced manner.
- Data Science Integration
As the data is flowing more than ever, data science is being used to analyze it and come to conclusions for better outputs. This is how data science is helping artificial intelligence to develop with more accurate outputs by analyzing big data.
- Less competitive
Artificial intelligence being a new emergence over the decade, people are not very skilled with its requirements. One can learn a lot through the online courses available and step into the career path. AI as a career path is very lucrative and if you’ve learned the right skills you should go for the rising tech industry.
Ideal Curriculum and project titles for AI online courses
Speech recognition: Build a model that can recognize English speech and convert it to Text using Natural Language Processing.
Face detection: Make your machine learn how to detect and identify faces using machine learning and computer vision
Chatbox: Build a chatbot that can mimic a real human and can talk to anyone through the chat.
Speech to text: Convert the speech or audio to text using AI models that were taught in the speech to text session.
Video indexer model: Build a Video Indexer model that can extract data such as spoken words, written text, faces, speakers, etc.
AI implementation: Implement ML algorithms on a set of data to recognize and analyze programs.
Natural language processing: Get introduced to NLP, which enables the connection between machines and humans.
Best Artificial Intelligence courses
The Artificial Intelligence course by Verzeo is one of the most recommended courses by industry experts.
This course is guided by mentors who are professionals in the field with a lot of past experience. These mentors will guide you throughout the course and projects.
The course will have live lectures as well as recorded ones if you aren’t able to watch the live ones.
The mentors will also take doubt clearing sessions for students to clear all their doubts.
The course includes major and minor projects which is a plus point for every Engineering student.
One can also avail the No cost EMI option for financial aid.
Verzeo also provides Ebooks and exclusive material to study which helps students to do self study beside the online classes.
This course is a must for students who are looking forward to AI as a career. At the end of the course students will get certificates from internationally recognized universities and multinational companies such as Microsoft.
The following concepts are included in the program:
- AZURE MACHINE LEARNING
- INTRODUCTION TO TEXT ANALYTICS
- NATURAL LANGUAGE PROCESSING
- INTRODUCTION TO NEURAL NETWORKS
- MINI PROJECT
- CONVERSATION AS A PLATFORM
- NATURAL LANGUAGE UNDERSTANDING
- MINOR PROJECT 2
- IMAGE PROCESSING BASICS
- IMAGE PROCESSING
- WORKING WITH IMAGE AND VIDEOS
Close to 4 million students have enrolled in machine learning Artificial intelligence certification. For students with financial problems can also apply for financial aid. The full course is for an 11-week timeline and would take approximately 60 hours to complete.
The instructor of this course is Andrew Ng who is the very founder of Coursera. He is also a pioneer in the field of Artificial Intelligence and shares his experience and knowledge in the industry of AI.
If you want to learn AI, then learn it from one of the best in the field and get to learn Andrew’s vast levels of knowledge on the domain.
Flexible deadlines and a 100% online course provide an advantage for the students to finish it at their own pace. The course also includes online reading material with videos and quizzes set periodically throughout the course. 40% of students started a new career after attending the course and 38% of students achieved tangible career benefits from this course.
The following aspects of Artificial intelligence and areas are covered throughout the course:
- Supervised learning
- Unsupervised learning
- Best practices in machine learning.
Various case studies and applications will be explained and discussed in the course to give a better understanding of the algorithms. Learning of these algorithms will help you in building smart robots, medical informatics, audio, database mining, text understanding, computer vision, and other areas.
SKILLS YOU WILL GAIN THROUGHOUT THE COURSE:
Logistic regression, Artificial neural networks, Machine learning, Machine learning algorithms.
When it comes to any technological development, you can bet that IBM wouldn’t be far off from harnessing it and finding great success. IBM has been one of the most iconic companies in the domain of IT and is now offering their expertise to the next generation who can come into the industry with the knowledge and skills required for the field.
Around 24000 students have enrolled in the AI engineering course by IBM. Four instructors are included in the whole course certificate. For students in need, Financial aid is available.
There are 6 courses included for the professional certification which are:
- Machine Learning with Python
- Scalable Machine Learning on Big Data using Apache Spark
- Introduction to Deep Learning & Neural Networks with Keras
- Deep Neural Networks with PyTorch
- Building Deep Learning Models with TensorFlow
- AI Capstone Project with Deep Learning
All the courses are based on different topics to attain different skills, hence providing Hands-on experience and projects included in the courses.
The thing you’ll be learning at the end of the certification course are:
1.) How to Describe machine learning, deep learning, neural networks, and ML algorithms?
2.) SciPy and ScikitLearn for Implementation of supervised and unsupervised machine learning models.
3.) Deploy machine learning algorithms and pipelines using Apache Spark.
10+ industry projects and other programming tools are included in the course.
300+ hiring partners after the course completion to help students find their dream job with placement assistance provided. Duration of 12 hours or 15 hours/week to complete the course. 12600+ students have already enrolled in this machine learning and artificial intelligence course. No cost EMI options are available for students to provide financial help.
30 case studies and assignments are included in the PG Diploma.
Topics like, Reinforcement Learning, Deep Learning, and NLP are covered through the course.
The courses offer a better approach and skill development, live coding classes, and profile building classes are held. Calls with industry experts are organized for guidance and constant feedback over 3 months. Upgrad mentors are present to track your progress and job opportunities.
The course has a one-year duration, with 8-10 hours of weekly learning. In this program, you’ll be able to learn artificial intelligence, machine learning, robotics,
Animation and CGI motion.
Experts from Columbia University will be instructing and guiding you throughout the course. The certification comprises four levels and it is a graduate course. For constant progress, the curriculum will have assignments and tests on specific due dates.
The four courses you’ll need to complete for the certification are:
- Artificial intelligence
- Machine learning
- Animation and CGI motion
At the end of the course, you will learn about the broad applications of Artificial intelligence in different aspects such as robotics and physical simulation. Designing of neural networks and how to apply concepts of machine learning in applications and real-life problems.
The course takes around 4 weeks to complete. After the course completion, you will learn how to build neural networks and understand how to use convolution to improve neural networks.
If you are interested in artificial intelligence and want to build AI-powered algorithms, you need to understand how to use tools to build them.
SKILLS YOU WILL GAIN AFTER COURSE COMPLETION
- Machine Learning
- Tensor flow
- Computer vision
This course is a complete guide to artificial intelligence with reinforcement learning, stock trading, and advertising application. With this course, you get 12.5 hours of demand video, and Full-time access is provided so that one can go through the concepts from time to time. Around 39000 students have already enrolled in the program which is provided for both students and professionals.
17 different reinforcement algorithms are taught throughout the course, which you’ll be able to implement on a technical level. After the course completion, you’ll be able to understand the relationship between psychology and reinforcement learning. A thorough understanding of gradient-based supervised learning will be given for methods of reinforcement learning.
The project provided at the end of the course is to Apply Q-Learning to build a stock trading bot.
This master’s program is in collaboration with IBM which will be providing expert-level guidance to students in Artificial Intelligence and Data Science. If you are aspiring to become an Artificial intelligence engineer or are a professional analytical who wants to work with AI, this course is just for you.
The course will be available for lifetime access for self-paced learning. Job assist is provided after the course completion from top hiring companies. A total of 7 courses are available for the master’s program to be completed. 9 projects on different domains are included in the program.
You will not only learn how about Artificial Intelligence but how to use important python libraries and machine learning techniques and some advanced methods for neural networks etc.
The School of AI by Udacity offers not one but more than 8 courses based on AI and its different applications. Therefore one can choose any course according to their field where they want to apply AI. The course expects you to spend 10hrs/week to learn and advance in the field. All the courses would include real-world projects that are in tie-up with reputed companies to help you get the best of experience throughout.
Udacity provides career coach and technical mentor support at all times. These mentors help you track your performance and guides you throughout the course. The learning is self-paced therefore you can choose a schedule that fits your time.
The course is very affordable therefore is available for everyone. Full-time access is given for the course. Around 20 articles are included in the course. Total of 120 lectures in the Artificial intelligence course.
You will learn a lot of things throughout the course such as How to build an AI, Build a virtual self-driving car, Q learning, deep Q learning, Make AI beat games, and a good understanding of the theory of Artificial intelligence.
This course is a complete guide for students who want to become an expert in AI. The course will teach them how to code for Artificial Intelligence and you’ll be able to download python templates for every AI you’ll be working on.
Real-world solutions will be provided to help you gain a better understanding of practical situations. In course, support is provided to all the students by professional data scientists throughout the course journey.
These were some of the most ideal AI courses that you could enroll for.