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Learning Path for Fundamentals in AI and Generative AI

Learning Path for Fundamentals in AI and Generative AI

Generative Artificial Intelligence (Gen AI) is rapidly transforming fields like creative content generation, software development, and data science. Whether you are a beginner or an experienced professional, having a structured learning path can streamline your journey into this fascinating and complex domain.

In this blog post, we will explore various comprehensive learning paths to master the fundamentals and specialized aspects of Generative AI. We will cover courses from well-known platforms and tech giants like Google, Microsoft, Coursera, and others. Each of these paths is designed to cater to various skill levels, ensuring you gain a robust understanding and hands-on experience in generative AI.

📚 Comprehensive Learning Path on Google Cloud

Introduction to Generative AI

”This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods.”

Courses included:

  1. Introduction to Generative AI: Understand the basics and applications of generative AI.
  2. Introduction to Large Language Models: Learn about LLMs and prompt tuning.
  3. Introduction to Responsible AI: Get introduced to the importance of responsible AI.
  4. Prompt Design in Vertex AI: Dive into prompt engineering, image analysis, and multimodal generative techniques within Vertex AI.
  5. Responsible AI: Applying AI Principles with Google Cloud: Learn how Google implements responsible AI principles.

New Generative AI Training Content

Google Cloud has introduced varied training content, from introductory to advanced levels, catering to both non-technical and technical audiences. Their learning path has been designed to offer skills in the following:

  • Generative AI Fundamentals: A 2-hour course concluded with a digital skill badge.
  • Generative AI for Developers: More advanced topics like Attention Mechanisms, Transformer Models, and BERT Models.

Labs Available:

  • Get Started with Generative AI Studio
  • Generative AI with Vertex AI: Getting Started
  • Vertex AI PaLM API: Qwik Start

You can also consider an Innovators Plus subscription for a year-long access to comprehensive training.

🎓 Microsoft Learning Paths

Fundamentals of Generative AI

Microsoft Azure offers multiple services and a unified experience for AI development. The course covers:

  • Introduction to generative AI
  • LLMs and their applications
  • Copilots that assist in creative tasks

Career Essentials in Generative AI

Offered by Microsoft and LinkedIn Learning, this path consists of 6 courses with topics such as:

  1. What Is Generative AI?
  2. Generative AI: The Evolution of Thoughtful Online Search
  3. Streamlining Your Work with Microsoft Copilot

Learning objectives include understanding AI models, applying generative AI in your career, and exploring ethical considerations.

🌍 Coursera’s Structured Path

Introduction to Generative AI Learning Path

Coursera’s specialization includes:

  • Defining and explaining how generative AI works
  • Describing generative AI model types and applications
  • Exploring ethical AI principles and presenting a business case for responsible AI

Projects and quizzes are integrated throughout to provide immediate feedback and practical learning.

🔬 Databricks’ Generative AI Engineer Pathway

Generative AI Fundamentals

Databricks has launched the industry’s first Generative AI Engineer learning pathway, which includes:

  1. Building applications using Hugging Face for LLM.
  2. Developing retrieval augmented generation (RAG) applications.
  3. Implementing responsible AI practices.
  4. Deployment using LLMOps best practices.

It culminates in the Databricks Generative AI Engineer Associate Certification exam.

🎨 Exploring Generative AI with NVIDIA

NVIDIA Learning Paths

NVIDIA offers specialized learning paths for both developers and administrators:

  • Understanding and building Gen AI-powered solutions.
  • Topics include machine learning, deep learning, GANs, and VAEs.

For tailored and specialized programs, you can connect with an NVIDIA training advisor.

📈 Further Learning Opportunities

  1. ProjectPro: Access a comprehensive library of projects to enhance hands-on skills.
  2. Class Central: Offers over 2,700 free courses in Generative AI.

Conclusion

The field of Generative AI is teeming with opportunities for growth and innovation. By embarking on these structured learning paths, you can acquire the skills necessary to master this technology. Whether starting with foundational courses or diving into advanced topics, the variety of resources available ensures that learners at all levels can build competencies effectively.

For free courses from top tech companies like Google, Microsoft, and Amazon, visit the full article on Medium.

These learning paths not only offer theoretical insights but also provide practical applications, ensuring you can implement your knowledge in real-world scenarios.

Happy learning and exploring the fascinating world of Generative AI!

Citations:

  • Google Cloud Skills Boost
  • Microsoft Learn
  • Databricks Blog
  • Coursera
  • LinkedIn Learning
  • NVIDIA Learning Paths
  • ProjectPro
  • Medium (LatinXinAI)