Learn Cloud Applied Generative AI Engineering (GenEng)
Overview
The Learn Cloud Applied Generative AI Engineering (GenEng) course is part of the Certified Cloud Applied Generative AI Engineer program. It aims to equip participants with the skills needed to effectively integrate and utilize generative AI technologies in various applications. The course addresses the growing importance of generative AI, as it is predicted to become a significant advancement in technology—potentially greater than the internet itself.
Registration for Cloud Accounts
Participants in the course need to register for both Microsoft Azure and Google Cloud accounts. Having these accounts is essential for accessing AI services and tools that are critical for developing generative AI applications.
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Microsoft Azure Account: Create a free account at Azure AI Services. It's recommended to use a company email address for registration. Once subscribed, apply for the Azure Open AI Service.
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Google Cloud Account: Register for a free account through Google Cloud, which will provide access to their suite of AI and cloud services.
The New Era of AI
The era of AI has begun, fundamentally changing how businesses and developers approach software development. Companies and scholars from various fields are witnessing an AI reeducation movement that impacts every executive and worker. Major players like Nvidia, Google, and others are leading the charge in advocating for the expansive possibilities of generative AI.
Generative Engineering (GenEng)
Generative Engineering is centered around integrating AI technologies into applications. There is a division of roles, where data scientists and engineers create and train models, while developers use these models in applications. Developers need traditional skills in scalable development and system integration alongside understanding the specifics of generative AI, like prompt engineering and selecting suitable large language models (LLMs) based on their performance and cost-effectiveness.
Latest News and Developments
Significant progress has been made in generative AI, including the launch of new AI models like Google’s Gemini. Alliances are also forming to promote open AI development, marking the rapid evolution and adoption of AI technologies.
Technology Insights for Businesses
From the perspective of business leaders, understanding the latest advancements in AI and Web 3.0 is crucial for staying competitive. Various reports and insights from industry leaders like Harvard Business Review and McKinsey highlight how AI is shaping the future of business.
Introduction to Generative AI
Generative AI is a transformative force, poised to contribute significantly to economic growth by automating and enhancing productivity across different sectors. McKinsey and other organizations project substantial economic impacts from widespread AI adoption.
OpenAI API and Assistants API
OpenAI provides APIs for developers to leverage LLMs like GPT-3.5 and GPT-4. These APIs support various functionalities, including chat completions, image generation, and speech-to-text conversions. The newly introduced Assistants API aims to simplify the development of assistant-like applications by maintaining state within interactions.
The Future of Generative AI
Generative AI is anticipated to be a profound creator of wealth and opportunity, dismantling traditional barriers to economic advancement. The potential contributions to the global economy are vast, with estimates reaching trillions by 2030.
Generative BI and Web 3.0
The convergence of generative AI and Web 3.0 opens up new possibilities for decentralized intelligence and business innovation. Understanding how these technologies integrate is crucial for businesses aiming to harness their full potential.
Learning Resources and Projects
The course offers numerous resources on LangChain, Pinecone, and LLMs for building AI applications. Textbooks, tutorials, and reference materials are provided to deepen participants' understanding of developing with these tools.
Assessments
Participants will face a series of quizzes and projects designed to test their understanding of the fundamentals of generative AI, including a 40-question assessment.
By participating in this course, learners will gain vital skills in using generative AI to address real-world challenges and drive innovation within their industries.