Top Recommend AI Training Courses Online
At current times, AI has become an inseparable part of life and the recent advancements in AI have leveled up the digital war. Whether you are a tech-savvy person or not, you need to know what AI is and how it works. If you need to involve artificial intelligence in your life, learning, or even your business, one thing that is needed first is ‘AI learning’.
Once you are sure of how things work around AI, you can do wonders. To initiate the wonders of life, learning, or business, you need to have resources through which you can understand the science behind AI. You can get it through multiple resources that are available online. In this article, you will get to know some top recommended AI learning courses.
Part 1. Requirements
Whenever you start off with any of the courses, there is always a portion where you can find the requirements and prerequisites for the learner. The same goes for AI. If you want to get learnings of AI from an AI Trainer, there must be some expectations from that Trainer as well. Let’s find out what is needed.
Programming Skills: Although it is not always the case if you are just starting with a beginner-level course that involves theory only. But in order to start your AI journey, you must be proficient in programming languages, especially Python.
Strong Foundation in Mathematics: If you are a person that can’t do the math. It means you cannot do AI as well. AI has the application of several mathematical theories and includes multiple topics such as Linear Algebra, Calculus, statistics, probability and etc.
Dedication of Constant Learning: As an emerging field, AI is not just a syllabus that can end easily in the upcoming time. You have to learn things with time. There is no course that covers the whole AI at once. It is a vast and ever-changing field and you cannot learn it all at once. You have to move with time.
Part 2. Top Recommend AI Train ing Courses Online
The following are the top recommended AI Train ing courses online
1Coursera: Stanford - Machine Learning Specialization
This course is focused towards machine learning specialization and is comprised of three courses in total. The first course included in this course is Supervised Machine Learning: Regression and Classification. The second course which is included in it is Advanced Learning Algorithms. The third and last course which is included in this course is Unsupervised Learning, Recommenders, and Reinforcement Learning.
Price: The first course is around 15 hours long and costs around 49$. The second course is 31 hours long course and it costs around 49$ as well. The third course is It costs around 79$.
Level: It is a beginner-friendly course.
Rate: The overall rating for the course is 4.9 out of 14,121 reviews
Skills you'll gain: The skills that can be earned through these courses are decision trees, linear regression, Artificial neural networks, logistic regression and recommender systems. The course is a great start for learners who need to get deep into artificial intelligence, machine learning and deep learning, If you are a person who wants to get deep into AI, then this course is for you.
The time needed for learning: The total time for the course is 2 months if you give 10 hours a week.
2Courera: IBM - AI Foundations for Everyone Specialization
The AI Foundation for Everyone specialization is a beginner-friendly course that covers multiple skills such as data science, deep learning, AI, Machine Learning and Watson (computer). This course is a combination of three courses.
Price: The first course is Introduction to Artificial Intelligence and It is 9 hours long. The original price of this course is 39$ and it covers the fundamentals of AI and Data science. The second course is Getting Started with AI using IBM Watson. It is also a 9-hour long course. It covers skills like deep learning, API, Watson and Artificial intelligence. The price of the course is 49$. The third course in this course is Building AI-powered Chatbots without Programming. It is a 12-hour long course and the price for the course is 49$.
Level: It is a beginner-friendly course.
Rate: The course has a 4.7-star review out of 2,307 reviews.
Skills you'll gain: In a nutshell, this course makes a foundation for your AI journey. Maybe it sounds like a fundamental thing, but once you are able to understand the baseline, then other things are easy for you to execute.
The time needed for learning: The total time for the course is 1 month if you give 10 hours a week.
3Google: Google AI for Anyone
As the name says, this course is presented by Google. It is an introduction to what Artificial Intelligence is and will take you deep into machine learning and stuff that is good to know for the beginner-level learner. Anyone in the name of this course is not to sound better, but it actually means that anyone (including those who are not mathematics masters and Python Coders) can join this course to understand what AI is, how it works and what parts it covers.
Price: The course is free of cost.
Level: It is a beginner-friendly course.
Rate: In total, the course has 4.6 ratings.
Skills you'll gain: It covers the basic skills such as intro to data science, machine learning and Ai in whole.
The time needed for learning: This is a course that can take 4 weeks to complete if you are able to take 2 or 3 hours per week.
4CS50: Introduction to Computer Science
CS50 is a course that is offered by the Harvard School of Engineering and Applied Sciences. It covers the areas of programming and computer science. It includes concepts like data structures, encapsulation, security, software, web development, resource management, and algorithms.
Price: The course is free of cost.
Level: It is a beginner-friendly course.
Rate: The ratings for this course are not available but it does have high reputation.
Skills you'll gain: It also gives you a familiarity with a number of programming languages such as HTML, CSS, Javascript, SQL, Python, and C. The core reason for this course is to understand how to solve the problem algorithmically. There are no prerequisites for this course and you can start off without any programming background and mathematical knowledge. This course is great to jump into AI. When you have a strong base, especially with a course that is under Harvard, It means that you can achieve much more than what you think you can.
The time needed for learning: The course is 12 weeks long and you have to give 6-18 hours per week in this course.
Part 3. Why Should You Learn?
If you enrol yourself in the above-mentioned artificial intelligence course, it means that not only will you be getting an introduction to artificial intelligence as a whole, also you can also get into the depth of machine learning and understand and apply the techniques that can really help you to become a machine learning engineer.
Machine learning skills are the most important skills that are required these days. The deep concepts of machine learning are really helpful in developing something that understands the data and is helpful in predicting valuable information to the users.
Machine learning has become an imperative part of this digital age and for that, machine learning skills are necessary to have.
Apart from getting skills in machine learning, there are thousands of Artificial intelligence career opportunities present all around the globe.
AI being an emerging field has tons of scope and there are still fewer people who are actually mastering artificial intelligence. It is more like there are tons of positions available , but fewer people to fill them which is why the worth and the salaries of AI engineers are pretty high.
When you take AI courses and learn training AI with time, it also means that you are keeping yourself up to date. Being an emerging technology, AI is changing its dynamic every day. If you learn about how it works, you will stay competitive and over the edge.
Part 4. Currently Trending Courses Online
"Natural Language Processing" by deeplearning.AI on Coursera
This course is a machine learning course that covers the specific part of Natural Language Processing. It is an intermediate-level course and is a 3-month long course if you are able to give 10 hours a week to it, In this course, you will get the skills such as Attention models, Machine Translation, Sentiment Analysis, Transformers, and Word2vec. The course itself is divided into 4 courses. The first course is Natural Language Processing with Classification and Vector Spaces. The second course is Natural Language Processing with Probabilistic Models. The third course is Natural Language Processing with Sequence Models. The fourth course is Natural Language Processing with Attention Models. The course price is 49$ and it has a total of 4.6 rating out of 4,972 reviews.
"Reinforcement Learning" by David Silver on YouTube
This Reinforcement learning course is presented by Google DeepMind and the lecturer is David Silver, Reinforcement learning concepts revolve around machine learning but it is more focused towards decision-making and receiving maximum rewards and minimum punishments. This course is divided into 10 lectures and an assignment as well. It also has a discussion and announcement panel.
"Artificial Intelligence Nanodegree" by Udacity
This is a Nano degree program in Artificial Intelligence that is around 3 months long if you are able to spend 12-15 a week. You can learn multiple programming as well as mathematical and AI skills like Optimization algorithms, Minmax search, and Bayesian Networks through this course. The prerequisites include experience with statistics, Linear Algebra and OOP (Python).
Part 5. What is Machine Learning & AI Training Data?
Machine learning is a part of Artificial intelligence that helps software applications produce better outcomes in the matter of prediction. Once data is available, the models can be Trained on them for future prediction or statistics. Machine learning itself is divided into two types that are supervised learning, unsupervised learning, semi-supervised learning and Reinforcement learning.
The AI Training data on the other hand is data that is used to Train AI models. It is the actual information on which the data is Trained and models are made for the correct prediction of future situations. It can be in multiple platforms such as videos, text, images and audio.
Machine learning and AI Training data are a combination of Training data to build machine learning models. These models are then helpful in correcting predictions of situations that come up. The more the data is available and the more it's clean, the better the results are with models that are made on that data.
Part 6. Things to Note
There are a number of courses that are available on multiple websites such as Edx, Udacity, Coursera and OpenCourseWare. Most of the courses are of Intermediate level, but a few of them are beginner level which can help even people with no programming and tech background to understand stuff related to AI and machine learning and start their journey in the AI world.
To enhance your understanding of AI training, consider incorporating ChatInsight AI into your learning journey. ChatInsight is an advanced AI chatbot platform that can greatly assist in training and optimizing AI chatbots. With its natural language processing capabilities and user-friendly interface, it allows for effective customization, integration, and analytics. By incorporating ChatInsight.AI into your AI training process, you can gain practical experience and improve the performance of your chatbot solutions.
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