Since you’re on this page, we take it that you are serious about learning the applied AI course. Applied AI course is one of the most comprehensive courses. What exactly applied AI is? What does this applied AI course offer?
We’ll answer all your questions, its time that we break this down into details. But before we do, let’s find out what is applied AI?
What is Applied AI?
Applied AI is another branch of artificial intelligence, but it is applied in the real world. By bringing out of the lab and finally enabling the computers to perform a computer-controlled robot to perform actual tasks.
It sounds like science fiction, but it’s not. This is real; we are in the future and heading towards a significant technological transformation.
AI/ML is already being used by big organizations like IBM, Amazon, Microsoft, etc.
How good is applied AI course?
IBM applied AI course is one of the most comprehensive curated course in AI. This course is right if you’re interested in learning AI/ML or in getting a better career.
This course features 6 part course. You need to complete all 6 to get a specialization certificate. We’ll look into it in detail.
What is the prerequisite of applied AI course?
Learners can pursue this course from both technical and non-technical backgrounds. But, it would benefit you learn one of the programming languages.
How much time to complete the applied AI course?
The applied course features a 6 part course. All six courses are self-paced to study online. The time you invest is directly proportional to the ROI.
By taking the rough figures for spending about 2-4 hours per week, you can complete in 3-6 months. The more time you invest, the faster you learn applied AI and be job-ready.
Which programming language is needed for applied AI?
The first 3 courses out of 6 do not need any programming language. But the final two courses need some knowledge of Python. Learn more about learning Python.
Because Python is the essential and core language of every AI/ML, in the final 2 courses of 6 courses, you will build and deploy AI applications using Python.
If you have zero knowledge of Python, do no worry. This course offers an introduction to the Python course. You can get started without any hiccups.
Where to learn applied AI?
You can sign up here to start learning applied AI from today. This course is a self-paced online course with 6 parts.
Applied AI Course Review
This module of the specialization course features a set of 6 courses. The 6 part in Applied AI course are:
- Introduction to Artificial Intelligence (AI)
- Getting Started with AI using IBM Watson
- Building AI-Powered Chatbots Without Programming
- Python for Data Science and AI
- Building AI Applications with Watson APIs
- Introduction to Computer Vision with Watson and OpenCV
Let’s break down and look at each course of all the six courses offered in this applied AI course.
1. Introduction to Artificial Intelligence (AI)
Like all things in nature, a proper introduction to the subject is essential. Since this an introduction to the basics of AI, there is no need for any programming language.
One of the advantages of this course is that you will be addressed on various issues and concerns about AI. Also, get a bit of advice from experts about learning or starting a career in AI.
In this mini-course, you will learn
- What is Artificial Intelligence (AI)?
- Understand AI concepts.
- Use cases and applications of AI.
- Terms like machine learning, deep learning, and neural networks will be addressed appropriately.
You can also see the working of AI by seeing the AI in action with a mini-project.
2. Getting Started with AI using IBM Watson
Here you will learn how to get started with AI using IBM Watson. In case you’re wondering what Watson is, it is IBM’s question-answering computer system capable of answering questions in a natural tone.
Here you will become familiar with the use cases and real-life examples of Watson. Understanding how Watson works is essential to get started in AI.
You will also get a chance to work with many Watson services to demonstrate AI in action.
3. Building AI-Powered Chatbots Without Programming
As the name says, you can build powerful chatbots without needing to write a single line of code.
By using IBM Watson’s Natural Language Processing capabilities, you can plan, test, implement, and deploy chatbots.
Without involving any code, you can visually create chatbots.
Using Watson Assistant, you can visually create chatbots without the need of any programming language. Also, if you own a WordPress site, you can deploy them using a WordPress plugin.
Don’t worry if you don’t have a website, no need to learn additional skills to create a website. You will be provided with a website to implement the chatbots.
Since many business enterprises are implementing chatbots, they are in a big boom. What I mean is that there are endless opportunities in the field of AI.
According to Gartner, by 2020, 85% of customer interactions will be through the automated channel (chatbots).
Here you will have an opportunity to learn one of the demanding skills of AI.
4. Python for Data Science and AI
In this part of the course, you will be introduced to Python. This will kick start your Python learning for data science.
Since Python is straightforward to learn, this course will take you from zero to programming in a matter of hours.
There are four modules of Python that are introduced here. All the modules has designed to give you a head start in Python programming.
Using Python, you will be able to create a project to test the skills that you’ve learned so far.
If you have any terrible experience in programming, do not be worried. Python is easy to learn and simple to remember. They offer the most straightforward syntax.
Also, it is one of the easiest programming languages.
5. Building AI Applications with Watson APIs
As a learner, you will be able to write an application that uses many Watson AI services.
Some of the Watson AI services are; Speech to Text, Discovery, Text to Speech, and Assistant.
By the end, you will be familiar with the best practices to build interactive information retrieval systems by using both Discovery and Assistant.
6. Introduction to Computer Vision with Watson and OpenCV
In this part of the course, you will be introduced to the computer vision and learn about its various use cases.
One of the exciting fields of machine learning and AI is Computer Vision. The applications of AI with CV is face detection, robotics, self-driving cars, etc.
By starting this course, you will utilize the technologies that you studied in the earlier classes. This course is hands-on and comprises of many labs and exercises.
You will use Python, Watson AI, and Open CV to process images and interact with image classification models. Here you will build, test, and train your custom image classifiers. Sounds exciting, isn’t it?
Additionally, you will be given access to a cloud environment for free of cost. You can use this cloud environment to build and test your applications.
Note: This course does not need any past Machine Learning or Computer Vision experience. But knowledge of Python programming language is a must.
If you want to pursue Applied AI course with zero experience in any of the fields, then this is a right one. Since every part of the course is designed to teach students from the ground up.
Even a person from non-technical background can pursue this course for an excellent job opportunity.
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