Google launched Best Top 5 Free AI Courses


The machine learning market is expected to reach a value of $90.1 billion by 2026, an almost 40% increase in only five years, according to BCC research. That demonstrates how businesses are investing more in machine learning (ML) solutions and frequently seeking experienced experts to assist in developing custom software.

Text, images, and other media formats can be produced via generative AI. It can generate new content, work with customized data, and take the place of repetitive tasks. For example, to make data analysis easier, the recently released PandasAI generative AI Python module integrates generative AI capabilities with Pandas.

Considering the statistics, it should come as no surprise that a large number of people are interested in learning more about AI and ML and acquiring the abilities required to work as machine learning engineers. Should this resonate with you, we’ve put together a list that you should peruse.

1. An Introduction to Machine Learning for All

This IBM machine learning training is ideal for those who are just starting. Furthermore, mastering the fundamentals of machine learning will only take you seven hours, after which you can on to more complex courses. Additionally, they have put together a three-module program that includes a “Final Project,” “Machine Learning Topics,” and “Machine Learning For Everyone.”

2. Analytics and Data Science using Machine Learning

This Google offers free AI courses with a focus on machine learning is the greatest alternative if you’ve always wanted to attend classes at Columbia University but were never given the opportunity. It’s run by some of the most seasoned instructors at the university, including professors of statistics and computer science, and it’s devoted to data scientists, trust me.

It will assist you in comprehending the foundations of machine learning and the corresponding methods, such as both supervised and unsupervised learning and linear regression.

You’ll also learn how to handle missing data to find hidden themes in large document collections and look for patterns in data to utilize in decision-making and prediction regarding real-world challenges.

3. Artificial Intelligence

Among the most well-known figures in the AI community. These free AI courses Leading Influencers in AI to Watch in 2022. We’ll concentrate more on his AI courses here because they’re among the most well-liked and well-regarded online courses for machine learning. You will gain knowledge about data mining, neural networks, statistics, and machine learning with this course.

The following topics are covered in the course:

supervised instruction
Unsupervised education
Machine learning best practices

4. Encoder-Decoder Configuration

An overview of the encoder-decoder architecture, a popular and potent machine learning design for sequence-to-sequence tasks like text summarization, question answering, and machine translation, is provided in this course. You get knowledge on how to train and serve these models as well as the essential elements of the encoder-decoder architecture. You will code a basic version of the encoder-decoder structure for poetry production in TensorFlow starting from scratch in the associated lab walkthrough.

5. Introduction of AI Image Generation

Diffusion models, a family of predictive models that have lately shown promise in the field of picture production, are introduced in this course. Thermodynamics, a branch of science, serves as the basis for diffusion models.

Diffusion models have gained popularity in both industry and academia during the past several years. Numerous best free AI courses are available and these picture-generating techniques and resources on Google Cloud are based on diffusion models. In this course, you will learn about the theory underlying diffusion models as well as how to use and train them on Vertex AI.

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