AI With Python Course
Why AI with Python course the right choice for students?
The goal of artificial intelligence (AI) is to develop computers and machines that can perform tasks humans are naturally good at, such as understanding natural language, comprehending speech, and recognizing images. It has been more than half a century since AI was introduced, and its advancements have been growing exponentially ever. Python is the language of choice for scientific computing, data science, and machine learning because it enables the use of low-level libraries and clean APIs. A field of study such as Python AI is exciting and will continue to be influential in our lives as other technologies have done before it. When you’re just starting out with artificial intelligence (AI), Python is a great language to learn since most tools are built on top of it. Therefore, Python and AI are likely to generate a lot of research over the next decade, making it worthwhile for students to enroll in a Python AI course.
In every industry and research discipline, AI-enhanced applications are making better use of the insights gleaned from data. When it comes to addressing the numerous challenges faced by organizations, the top AI companies rely on the popular programming language, Python. Using Python AI techniques, the tools and methods driving this revolution process the massive piles of data that are generated each day and then take action in a meaningful way. The purpose of this article is to provide insight into Purple Tutor’s Python AI Course, exploring the key concepts that enabled it through a tour of important topics. With the goal of educating students and pushing the field of Python AI forward, we cover widely-used libraries and concepts, collected together for holistic comparison.
In conclusion, learning AI with Python can be an excellent choice for students who want to build a career in AI. In order to pursue a career in the tech industry, students should learn Python’s AI capabilities. It is recommended that students learn Python basics prior to learning AI and ML concepts. Using Python, students can gain proficiency in AI and ML. Enroll in Purple Tutor’s live Python AI online classes if you would like to learn more about Artificial Intelligence and Machine Learning with Python.
What will you learn in the course?
The Python AI course is designed based on the age group and duration. The two categories of Machine Learning with Python online courses are as follows:
Ages 12-15 years (Early Achievers)
This is the Python Core course which is split into 3 parts as follows:
- INTRODUCTION TO PYTHON PROGRAMMING – During these coding classes the students will learn the basic concepts of Python and code programs using a text-based editor. All programs are written using the Python Turtle library.
- ADVANCED PYTHON PROGRAMMING – Students will explore advanced Python concepts such as data types, type casting, and basic data structures like tuples, lists, and dictionaries.
- ARTIFICIAL INTELLIGENCE – Students are introduced to AI and Machine Learning. They will create voice, image, and text recognition projects using teachable machines and Scratch. They then explore deeper into how computers visualize images and create various image and video manipulation projects using the CV2 library of Python. They also create a machine learning model for emotion detection, using Python code.
Ages 15+ years (Young Professionals Course)
This is what the Python Core course covers for the students of this age group –
- PYTHON BASICS – Students will learn the core Python programming concepts, during these coding classes. They will get hands-on experience in activities to apply their understanding of basic data types, conditionals, loops, typecasting, basic data types, functions, and variables.
- PYTHON DATA STRUCTURES – Students will explore advanced data structures of Python namely lists, dictionaries, tuples, strings, stacks, and queues. they will be given the practice of writing code on how to manipulate data in these data structures using Python functions. Students will learn how to apply Binary and Linear search algorithms for searching elements. They will also learn how to use Insertion and bubble sort algorithms to sort data.
- INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING – Students will be introduced to AI and then explore the applications, limitations, biases, ethics, and future of AI. They will gain an understanding of basic AI terms such as supervised learning, unsupervised learning, deep learning, and neural networks.
How will students benefit by choosing our Python AI Course?
Learning Python and Artificial Intelligence through a Purple Tutor’s Python AI course can offer several benefits to students. It can increase their job prospects, provide them with industry-relevant skills, and offer hands-on learning opportunities. Python and AI skills are versatile and can be used for a range of applications, making them an essential part of any student’s skill set.
The combination of AI and Python has opened up new opportunities for students, and learning AI with Python can be an excellent choice for students who want to build a career in AI. In this article, we will discuss why AI with Python is the right choice for students.
- Popularity and Relevance: Python is one of the most popular programming languages for AI and machine learning. Many AI applications and frameworks, such as TensorFlow, Keras, and PyTorch, are built using Python. Learning AI with Python can be a valuable skill for students interested in pursuing a career in the tech industry.
- Easy to Learn: Python is a simple and easy-to-learn language that has a low learning curve. Its syntax is easy to read and write, and it is ideal for beginners who are starting with AI development.
- Versatility: Python is a versatile language that can be used for a wide range of applications, including web development, scientific computing, data analysis, and machine learning. This makes it an ideal choice for students who want to learn AI and explore different applications of AI.
- Powerful Libraries: Python has several powerful libraries for AI and machine learning, including TensorFlow, Keras, PyTorch, and Scikit-learn. These libraries provide a range of tools and functions that make it easier to implement complex AI and ML algorithms.
- Career Opportunities: AI is a rapidly growing field, and the demand for AI professionals is expected to increase significantly in the coming years. Students who learn AI with Python can build a career in a range of industries, including healthcare, finance, retail, and more.
- Hands-On Learning: The AI with Python course typically includes hands-on exercises and projects, which allow students to apply what they have learned. This hands-on learning approach helps students to develop their skills and gain practical experience.
The demand for AI professionals is expected to increase significantly in the coming years. The hands-on learning approach in the AI with Python course allows students to develop their skills and gain practical experience, making them job ready.
Course Content, Duration, and Certificate
To view the details of the Python AI course for each age group, please click on the course name. The number of sessions for each coding course is given in the Duration column. Each session lasts for an hour.
Students will be eligible to get a certificate at the end of each of the given coding courses.
Ages 12-15 years (Early Achievers Course)
|SL. No.||Course Name||Duration(hrs)|
|1||INTRODUCTION TO PYTHON PROGRAMMING||20|
|2||ADVANCE PYTHON PROGRAMMING||30|
Ages 15+ years (Young Professionals Course)
|SL. No.||Course Name||Duration(hrs)|
|2||PYTHON DATA STRUCTURES||40|
|3||INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING||14|
- For the Python and Machine Learning courses, there are no coding prerequisites needed, since the 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 online coding classes.
Frequently Asked Questions (FAQs)
1. Can I try a free class for coding?
A: Yes. We give one free demo class, which can be booked from the booking link. We encourage you to take the class and assess the experience.
2. Is the Python AI course schedule flexible?
A: Python AI course is flexible. You can select any time and any day that works around the student’s schedules.
3. How do I know whether Machine Learning using course 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 Python AI course?
A: Students get certificates after completion of each course. The certificate recognizes the skills the student learned and the level of mastery achieved.
5. What do you require to enroll in the Python AI course from PurpleTutor?
A: You need a laptop/computer with a webcam and a stable internet connection. There are no coding prerequisites to start with Artificial Intelligence. We recommend students take our Python courses before starting with Data Science.
6. What are the courses that PurpleTutor 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, Roblox Games & many more on offer. Please visit our courses section for more information or talk to a counsellor. We encourage you to book a complimentary class with us, enjoy & assess the in-class experience. One can also discuss courses with our teachers in-person too during the class too.
7. What level will any student reach in coding after completing the Python AI course?
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 Python AI course that they have undertaken, they will learn as per the curriculum.