Google Free AI Courses: Google CEO Sundar Pichai recently voiced his admiration for Prime Minister Narendra Modi’s efforts on modernising India through technology and artificial intelligence (AI) at a roundtable meeting with notable CEOs from digital businesses. Speaking at the event, Sundar Pichai stated, “He (PM Modi) is really thinking about how AI can transform India in a way that benefits the people of India. He challenged us to think about applications in healthcare, education, and agriculture…He wants to ensure AI is there to benefit the people of India.”
For individuals interested in pursuing knowledge in AI, it’s worth noting that Google offers free AI courses in India. These courses provide a fantastic opportunity to understand AI concepts and applications, helping individuals harness this transformative technology for personal and professional growth.
Top 5 Free AI Courses Offered by Google in India
To assist people in India in learning and utilising AI technology, Google provides several kinds of free AI courses. These courses are an excellent method to obtain fundamental information and useful abilities in AI, regardless of whether you’re a professional, student, or just interested in learning more about it.
Here are the top five free AI courses offered by Google:
1. Introduction to Generative AI
This course is a beginner-friendly introduction to the world of Generative AI. It explains the basic concepts of Generative AI, its differences from traditional machine learning, and its practical applications. It also introduces participants to Google’s tools that allow them to create their own AI-powered applications. The course is concise and takes about 45 minutes to complete, making it a perfect starting point for those new to AI.
Key Highlights:
- Explains what Generative AI is.
- Covers the uses and potential applications of AI.
- Offers insights into Google’s tools for developing AI apps.
2. Introduction to Large Language Models (LLM)
Large Language Models (LLMs) are transforming how machines understand and process human language. This introductory course explains what LLMs are, their key use cases, and how you can fine-tune LLMs to improve their performance. The course also touches upon the tools Google provides for developing your own AI models and applications. It is a microlearning course that takes approximately 45 minutes to finish.
Key Highlights:
- Learn about the significance of LLMs.
- Explore prompt-tuning methods to enhance AI performance.
- Introduction to Google’s AI development tools.
3. Generative AI Fundamentals
This course offers an in-depth understanding of Generative AI. After completing the courses on Generative AI, Large Language Models, and Responsible AI, participants can earn a skill badge. The course includes a final quiz that tests your knowledge of core AI concepts, providing you with a certificate upon completion.
Key Highlights:
- Covers a broad range of AI concepts.
- Includes a final quiz to test knowledge.
- Participants earn a skill badge upon completion.
4. Introduction to Image Generation
With AI making strides in image creation, this course dives into diffusion models, which are at the heart of modern image-generation tools. Diffusion models are inspired by physics and are widely used in various state-of-the-art applications. This course teaches participants about diffusion models and how to implement and deploy them using Google Cloud’s Vertex AI platform.
Key Highlights:
- Learn about diffusion models and their real-world applications.
- Hands-on experience with Google Cloud’s Vertex AI.
- Introduction to the latest tools in image generation.
5. Encoder-Decoder Architecture
The encoder-decoder architecture is a powerful machine-learning tool commonly used in applications like machine translation and text summarization. This course gives participants an overview of how this architecture works and provides a coding lab where they can create an AI model for poetry generation using TensorFlow. This hands-on experience makes it a unique and practical course for anyone looking to deepen their understanding of sequence-to-sequence tasks.
Key Highlights:
- Detailed overview of the encoder-decoder architecture.
- Practical lab experience with TensorFlow.
- Learn to build models for tasks like translation and text summarization.
As Sundar Pichai pointed out, Google’s goal of enabling universal access to AI is in line with PM Modi‘s vision of an empowered digital India. These Google free AI courses are a big step in the direction of empowering people in India.
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