7 Free Courses You Should Take Online to Learn Generative AI and Python

In the current technology driven world, it would not be an exaggeration to say that to keep ahead it is important to keep your skillset up to the minute. You have a passion in artificial intelligence and you want to become a developer or you are curious or you are a data enthusiast, then, there is nothing like waiting anymore. The great news? You do not need to splash the cash to kick start. The emergence of e-learning technologies allows you to get the quality courses at home free of charge.

The following list of courses should include 7 free courses that are required to learn about Generative AI, Python programming, and all that lies in between.

1. Beginners in genai Introductory course

Generative AI (GenAI) has been revolutionizing industries since it allows machines to produce texts, pictures, programs and even music. And in case this high-tech technology curious you, advanced genai course is your must-have starting point. The courses discussed the principles of GenAI, how it functions, its most common applications, and such tools as ChatGPT, DALL·E, and Midjourney.

What to expect:

• Summary of principles of AI and machine learning
• Neural networks and transformer basics
• Text and image generation tools projects
• Generative AI ethics

As a student and even a person working in a specific field, this course could lead to the possibilities of endless opportunities created with the help of the AI.

2. Learn Programming Python Completely on any level

Python is still among the most demanded programming languages due to its easiness and possibilities. Whether you are an absolute beginner or you already code and want to diversify your programming toolbox, a Python Programming course with structure will teach you everything starting at the level of zero.

What’s inside:

• Python language structures, data types and control structures
• Operating libraries such as NumPy, Pandas and Matplotlib
• Constructing mini-applications such as calculators, web scrapers and games
• Overview of the API, handling and errors on files

AI and data science would also be your choice when using Python, and thus, it will be a great addition to your GenAI experience.

3. Generative AI using Python - A Practical How-to

After addressing the basics, now it is time to take a closer look at the intersection between Python and GenAI. This is an advanced genai course that lays emphasis on constructing practical applications with Python.

Topics include:

• Generation studies based on GPT implementation Text generation with the help of GPT-based models
• Diffusion models Image creation with diffusion models
• Prompt engineering of chatbots with AI
• The Python implementation of AI tools

Not only are these practical exercises a good way of increasing your technical ability, but they also allow you to develop a solid portfolio of GenAI projects.

4. Creative AI-based Project Tools

As a content creator, designer, or marketer, there is always the chance to increase productivity and creativity by learning how to leverage GenAI tools. A creative-oriented view of GenAI is now slated on several free online courses.

Course highlights:

• AI ideas generation and copy generation
• With assistance of AI design tools such as Canva and Adobe Firefly
• Creating exclusive videos and voiceovers with the help of AI tools
• Automation of recurring tasks with the help of AI scripts

Such set of skills is particularly important in freelance and an entrepreneurial environment, where time and resources are scarce.

5. Data science and machine learning in Python

However, in case you want to learn more about Python beyond the simple programming field, then you can take a Python Programming course that focuses on data science. In these courses, you will be acquainted with Python libraries that are popular in data analysis and machine learning.

The lesson you will learn:

• Seaborn and Pandas exploratory data analysis
• Data wrangling, cleaning and visualization methods
• Creation of building classification and regression models
• Validation of models and tuning hyperparameters

By learning these concepts, your move to AI and GenAI workflows is going to become a walk in the park.

6. Constructing GenAI Apps Without Code

Not all people interested in using AI are programmers. That is where the no- and low-code platforms enter the stage. Now there are several free online tutorials, which will train you on the use of GenAI tools without writing even a single code.

One should expect:

• Creating artificially intelligent applications by means of drag-and-drop interface Constructing AI-powered apps with the aid of draughtsmanlike interfaces
• Anyone can hire GenAI to integrate it into their customer service and marketing processes.
• The use of fast deployment using pre-trained models
• HR, education and e-commerce use cases in the real world

These platforms make the development of AI democratic and accessible to a non-tech user as well.

7. Capstone Projects & Certification Courses

After checking out several free online courses, you could decide to demonstrate what you know by trying capstone projects. Its several platforms provide free project-based learning and certification, with which you can verify the competence in a real-life environment.

The capstone projects can entail:

• Enturing the development of a chatbot which will respond to the user questions in real time
• Generating an app content creator using GenAI models
• Visualization and data analysis in Python
• Selling AI to find solutions to business problems

The fact that you obtain a project upon the completion of a course makes your resume come true as well as increases your self-confidence about the job interview or a freelance project.

Conclusion

It is not necessary that learning should be an expensive commodity. Whether you want advanced courses on Python programming or practical genai courses, the internet boasts of valuable courses that are worth consuming. With these free online courses, you not only develop your knowledge but also become ready to apply it in real-life situations, both tech-related and business-related, as well as creative.