AI and ML Course using Python
What Is AI and ML?
Artificial Intelligence (AI) and Machine Learning (ML) are two of the most rapidly growing fields in technology today. Both AI and ML are transforming the way we live, work and interact with technology. Artificial Intelligence and Machine Learning have become increasingly important as companies use these technologies to enhance their products and services, evaluate their business models, and make better decisions. But what change does AI and ML courses bring in the future career of young generation? And how can they choose one of the best AI and machine learning courses? Read this article to explore about Purple Tutor’s AI and ML courses which can help youth prepare for a better future.
Machine Learning is a branch of AI. The key difference between AI and ML is that AI is focused on developing systems that can mimic human intelligence, while ML is focused on developing algorithms that can learn from and make predictions on data. Students who are interested in learning about Artificial Intelligence should enrol in PurpleTutor’s “AI and ML courses” that can help anyone to achieve excellence in this domain.
The most important thing to do before choosing one of the best AI and ML courses is to identify the area of AI that interests you the most. Using this information, you can select any one of the AI and ML courses that aligns with your goals and objectives. The Artificial Intelligence and Machine Learning courses we offer provide students with a comprehensive understanding of Artificial Intelligence, including machine learning, computer vision, natural language processing, etc.
What will you learn in the course?
AI and ML courses can help students understand how organizations make more informed decisions by analysing large amounts of data and recognizing patterns. Our artificial intelligence classes will allow students of all ages to dive into the world of AI and up-skill themselves with the latest AI knowledge and skills by making several projects and knowledge provoking activities.
Students will explore:
- Build a Chatbot activity teaches students about natural language processing, a type of artificial intelligence that enables computers to understand and interpret human speech.
- Create a simple machine learning model that can recognise patterns in data. This activity help students understand how machine learning works and how it can be used to make predictions based on data.
- Design an expert system which is a type of AI that uses a combination of machine learning and human-generated rules to make decisions or solve problems which helps students to learn about the principles of artificial intelligence and how it can be applied to real-world problems.
- Analyse the ethical and social implications of AI such as the potential for job displacement or the risks of biased or discriminatory decision-making.
- Explore AI-powered tools and applications and experiment with different AI-powered tools and applications, such as voice assistants or image recognition software, to learn about the practical applications of AI.
The AI and ML courses are designed based on the age group and duration. Here are the four categories of the AI Machine Learning courses online are as follows –
Age 6 to 8 Years (Lil Champs Course)
During these classes of ML & AI course, students are given a quick overview of Scratch programming interface and are then introduced to the basics of Artificial intelligence concepts and terms. Projects based on Text, Voice and Image recognition are done by the students.
Age 9 to 11 Years (Young Learners Course)
Students are given a brief overview of the Scratch programming interface, as well as a basic introduction to the concept and terminology of artificial intelligence in the beginning of Artificial Intelligence and Machine Learning courses. Students develop projects involving text, voice, and image recognition.
Age 12 to 15 Years (Early Achievers Course)
Google AI experiments like AutoDraw, Infinite Drum Machine, etc are explored by the students to understand how machines learn. With the help of teachable machines and Scratch, they create voice, image, and text recognition projects. Through various image and video manipulation projects created during our AI and ML Courses are with the CV2 library of Python, they examine how computers visualize images.
More than 15 Years (Young Professionals Course)
In this ML and AI course, students will explore AI’s applications, limitations, biases, ethics, and future after discussing what AI is. As part of this course, they will learn about supervised learning, unsupervised learning, deep learning, and neural networks, which are all basic AI terms.
Benefits of AI and ML
Artificial Intelligence (AI) and Machine Learning (ML) bring several benefits to businesses and individuals. Taking AI and ML Courses are primarily important for the young generation as the field of artificial intelligence has a tremendous career outlook, including:
- AI and machine learning can automate repetitive and mundane tasks, allowing people to focus on more creative and strategic tasks.
- A better decision-making process: Machine learning and AI can aid organizations in making informed decisions more quickly and accurately by analysing vast amounts of data.
- The ability to process large amounts of data in real-time enables organizations to respond quickly to changing circumstances.
- Personalized customer interactions and more efficient and effective customer support can be achieved with AI and machine learning.
- The use of AI and machine learning algorithms can identify and eliminate human biases and errors, improving prediction and decision accuracy.
- AI and machine learning can be used to generate new ideas and develop innovative products and services.
AI and ML can reduce costs and increase profitability by automating tasks and improving efficiency.
AI & ML Course Content
AGE 6 TO 8 YEARS (LIL CHAMPS COURSE)
In these classes, students learn about Scratch programming interface through a movie making project and a game project. They are then introduced to the basic concepts and terminology of artificial intelligence. They then create Scratch projects using machine learning models that recognize text, voice, and image commands.
To download the detailed Lil Champs course content, click here!
|SCRATCH AND ARTIFICIAL INTELLIGENCE|
|1||Overview of Scratch Interface|
|3||Algorithms & Scene Building|
|4 & 5||Movie Making|
|6 & 7||Events & Game Design|
|8 & 9||Conditionals|
|11||Introduction to Artificial Intelligence|
|12||History of AI|
|13||How does AI work?|
|14 & 15||Text recognition|
|17 & 18||Events and Text recognition|
|20 & 21||Voice Recognition|
|23||Image Detection, Recognition|
|24||Image classification with machine learning|
|25||Introduction toTeachable Machine|
|26 & 27||Image recognition|
AGE 9 TO 11 YEARS (YOUNG LEARNERS COURSE)
During the initial phase of our online Artificial Intelligence classes, students will get introduced to the Scratch Programming interface through movie making and game projects. After having understood the basics of what AI is, students will get explored to the coding concepts involving conditionals, events, list, functions, and so on. The students then learn to train machine models to recognize text, voice, and image commands and use the same models to create projects in Scratch.
To download the detailed Young Learners course content, click here!
|SCRATCH AND ARTIFICIAL INTELLIGENCE|
|1||Scratch Coding & Movie Making|
|3||Algorithms & Scene Building|
|4 & 5||Movie Making|
|6 & 7||Events & Game Design|
|8 & 9||Conditionals|
|11 & 12||Cloning|
|13 & 14||Operators|
|15 & 16||List|
|17 & 18||Function|
|19 & 20||Video Sensing|
|22||Introduction to Artificial Intelligence|
|23||History of AI|
|24||How does AI work?|
|25 & 26||Emotion Detector Bot|
|27 & 28||Chatbot|
|29 & 30||Smart Room|
|31 & 32||News Paper|
|39||Image Detection, Recognition|
|40||Image classification with machine learning|
|42 & 43||Chameleon|
|47||Introduction to Fooled Project|
|48||Fooled Project – Coding & Testing|
AGE 12 TO 15 YEARS (EARLY ACHIEVERS COURSE)
We offer one of the best AI and ML courses that make the students get introduced to the world of Artificial Intelligence. They will get a chance to experiment various AI experiments and understand the power of AI. They then create voice, image and text recognition projects using teachable machines and Scratch. Following this, they use the CV2 library of Python to explore how computers visualize images and manipulate images.
To download the detailed Early Achievers course content, click here!
|1||What is Artificial Intelligence?|
|2||History of AI|
|3||How does AI work?|
|4 & 5||Emotion Detector Bot|
|6 & 7||Smart Room|
|8||Image detection, recognition, and Image classification with ML|
|9||Teachable Machine & Introduction To Chameleon|
|10||Coding Chameleon & Introduction To Fooled|
|12||Emoji Mask & Creating Face Filters|
|13 & 14||Image Representation|
|15||How computers read images?|
|16||Getting Started with Image Processing|
|17||Edit Grayscale images|
|18||Color images with 3D Arrays|
|19 & 20||Edit Color images|
|23 & 24||Edge Detection|
|25 & 26||Face Detection|
|27 & 28||Invisibility Cloak|
|30||Machine Learning Algorithms|
|31, 32 & 33||Decision Trees|
|34||Ethics and Bias in Machine Learning|
|36, 37 & 38||Chatbot Project|
|39 & 40||Make Me Happy Project|
MORE THAN 15 YEARS (YOUNG PROFESSIONALS COURSE)
Our AI ML courses online that are meant for the “Young Professionals” begins with a discussion of what AI is and then explores its applications, limitations, biases, ethics, and future. Upon taking the AI Full Course students will gain an understanding of AI terms like supervised learning, unsupervised learning, deep learning and neural networks.
To download the detailed Young Professionals course content, click here!
|Introduction to AI and Machine learning|
|1||Intelligence and its types|
|2||Evolution of AI and the Big Ideas of AI|
|3 & 4||Creating a simple Chatbot|
|5 & 6||Understanding Machine Learning|
|7 & 8||Tic-Tac-Toe project|
|9||Deep Learning with Neural Networks|
|10 & 11||MNIST digit recognition project|
|12, 13 & 14||Virtual Assistant project|
Course Accessibility, Duration & Certificate
PurpleTutor has designed a 30 sessions Artificial Intelligence Machine Learning course for “LIL CHAMPS” whose age can be between 6 to 8. Each session is one hour long and for the initial 10 sessions students learn about Scratch programming interface through a movie making project and a game project. They conclude their rest of the 20 sessions by creating Scratch projects using machine learning models that recognize text, voice, and image commands. Students will be awarded with a certificate at the end of the AI and ML course.
We have designed the best Artificial Intelligence Certification course for “YOUNG LEARNERS” who fall under the age group of 9 to 11. The course will be taught in 50 sessions, each lasting one hour. Upon completing 20 sessions, students will be familiar with basic programming concepts. Students will learn and do projects based on text, voice and image recognition in the rest of the 30 sessions. The Artificial Intelligence full course concludes with 50 sessions, allowing students to receive an Artificial Intelligence certificate at the end.
Students between the ages of 12 and 15 can enroll in the course meant for “EARLY ACHIEVERS”. The Machine Learning and AI course consists of 40 sessions lasting 40 hours in total. AI learning for this group of students initially involves understanding the basics of AI and experimenting with different AI applications. After 10 sessions students will be gradually introduced with python programming for AI where they use the CV2 library to explore how computers visualize images and manipulate images. Machine Learning Algorithms, Neural Networks are also included in the Artificial Intelligence training which concludes their course. We will award a certificate of completion to the student at the end of our online Artificial Intelligence certificate course.
The AI and ML courses is meant for the “YOUNG PROFESSIONALS” who are 15 years old and above. This 14 session Artificial Intelligence Online Course begins with a discussion of what AI is and then explores its applications, limitations, biases, ethics, and future. Each session will be for one hour and at the end of 14 hours students will gain an understanding of AI terms like supervised learning, unsupervised learning, deep learning and neural networks.
Requirements for the Course
To take our AI and ML courses, students do not need to have any coding knowledge.
- There are no coding prerequisites since the Artificial Intelligence and Machine Learning course will start with the very basics before moving on to the core concepts.
- It is necessary to have a laptop or computer with a webcam and a stable internet connection to take our AI and ML courses online.
Frequently Asked Questions (FAQs)
1. Can I try a free class for coding?
A: Yes. The first demo class is free of charge. You can book the free class from the booking link.
2. Is the ML & AI course schedule flexible?
A: The courses are flexible. You can select any time and any day that works around student’s schedule.
3. How do I know whether AI and ML courses is right for any student?
A: The teachers assess the level of the student in the demo class based on which the course is suggested.
4. Will the student receive a certificate for the AI and ML courses?
A: Students get certificates after completion of each course. The certificate recognizes the skills the student learnt, and the level of mastery achieved.
5. What do you require to learn Artificial Intelligence from PurpleTutor?
A: You need a laptop/computer with a webcam and a stable internet connection.
6. What are the courses that Purple Tutor offers?
A: PurpleTutor provides Cutting edge courses to make the student’s future ready. We have courses like – Python, Web Development, Machine Learning and Artificial Intelligence Courses, Cyber Security, Space Technology, & Roblox Games.
7. What level will any student reach in coding after completing the AI & ML courses?
A: Students learn everything about Artificial Intelligence during the course like machine learning, computer vision, natural language processing, text recognition, voice recognition and image recognition. According to the Machine Learning and AI course that they have undertaken, they will learn as per the curriculum.