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Google Cloud Training

Questo è un corso di microlearning di livello introduttivo volto a spiegare cos'è l'AI generativa, come viene utilizzata e in che modo differisce dai tradizionali metodi di machine learning. Descrive inoltre gli strumenti Google che possono aiutarti a sviluppare le tue app Gen AI.

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Syllabus

Introduzione all'AI generativa
Questo è un corso di microlearning di livello introduttivo volto a spiegare cos'è l'AI generativa, come viene utilizzata e in che modo differisce dai tradizionali metodi di machine learning. Descrive inoltre gli strumenti Google che possono aiutarti a sviluppare le tue app Gen AI.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Questo corso di microapprendimento introduttivo analizza l'intelligenza artificiale generativa. Esplora i suoi usi, le differenze con i metodi di machine learning tradizionali e gli strumenti Google per sviluppare app di intelligenza artificiale generativa
Presenta le basi dell'intelligenza artificiale generativa, rendendola accessibile anche ai principianti
Offerto da Google Cloud Training, rinomato fornitore di formazione sul cloud computing

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Generative AI - Italiano with these activities:
Identify a mentor in the field of Generative AI
Connect with experienced professionals, gain personalized guidance, and accelerate your learning journey.
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  • Attend industry events and meetups.
  • Reach out to researchers and practitioners in the field.
  • Build relationships and seek mentorship opportunities.
Segui tutorial sulla generazione AI
Seguire tutorial ti aiuterà a sviluppare le competenze necessarie per creare le tue app di generazione AI.
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  • Individua tutorial pertinenti online o su piattaforme di e-learning.
  • Segui i tutorial passo passo, prendendo appunti e facendo esercizi.
  • Sperimenta le tecniche apprese nei tutorial sui tuoi progetti personali.
Review background materials on machine learning
Reinforce your foundational understanding of machine learning to enhance comprehension of Generative AI concepts.
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  • Revise supervised and unsupervised learning algorithms.
  • Review common machine learning metrics.
  • Practice solving machine learning problems.
Five other activities
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Host a study group on Generative AI
Engage in peer-to-peer learning, share insights, and reinforce concepts through discussions and problem-solving.
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  • Gather a group of peers with similar learning goals.
  • Choose a specific topic or set of questions to focus on.
  • Facilitate discussions and encourage active participation.
Complete coding exercises on Generative AI
Strengthen your technical skills and deepen your understanding through hands-on coding practice.
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  • Identify online coding platforms or resources.
  • Solve coding challenges and exercises related to Generative AI.
  • Review your solutions and identify areas for improvement.
Compile a list of resources on Generative AI
Curate a personalized collection of materials to supplement your learning and stay updated in the field.
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  • Identify relevant research papers and articles.
  • Bookmark informative websites and blogs.
  • Follow experts on social media.
Contribute to an open-source Generative AI project
Engage in real-world problem-solving, learn from experts, and build your portfolio by contributing to open-source projects.
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  • Identify an open-source Generative AI project aligned with your interests.
  • Review the project's documentation and contribute code.
  • Collaborate with other contributors and seek feedback.
Develop a prototype using Generative AI tools
Apply your knowledge practically to create a tangible project that showcases your understanding and proficiency.
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  • Choose a problem or idea you want to address.
  • Select appropriate Generative AI tools and techniques.
  • Design and implement a prototype solution.
  • Test and evaluate your prototype.

Career center

Learners who complete Introduction to Generative AI - Italiano will develop knowledge and skills that may be useful to these careers:
AI Engineer
AI Engineers leverage their knowledge of AI and machine learning principles in the design, development, and deployment of AI systems. This course introduces foundational principles of generative AI, enabling learners to build stronger AI solutions in their role. It includes information about Google's suite of AI tools, which employers commonly use.
Data Scientist
Data Scientists apply machine learning and AI techniques to uncover patterns and insights from data. Introduction to Generative AI provides a strong foundation in the latest advancements in AI, which can help Data Scientists build more sophisticated models.
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning systems. This course helps learners understand the latest generative AI techniques and how these techniques differ from traditional machine learning approaches, providing a competitive edge in the field.
Software Developer
Software Developers apply computer science principles to design and create software applications. Introduction to Generative AI can help Software Developers enhance their skill set by understanding how to leverage AI and machine learning techniques in their development process.
Product Manager
Product Managers are responsible for defining the vision and roadmap for a product, ensuring it meets customer needs. Generative AI is becoming increasingly important in product development, and this course helps Product Managers understand its potential applications.
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products or services. Generative AI can enhance marketing efforts, and this course helps Marketing Managers understand how to incorporate AI into their strategies.
Financial Analyst
Financial Analysts evaluate and make recommendations on investments. Generative AI can assist in analyzing financial data and identifying trends, and this course introduces the principles and tools needed to leverage AI in finance.
Quantitative Analyst
Quantitative Analysts (Quants) use mathematical and statistical models to solve complex business problems. Generative AI is gaining traction in financial services, and this course offers Quants a foundation to explore its applications in their work.
UX Designer
UX Designers focus on creating user-friendly and engaging experiences for products and services. Generative AI can play a significant role in enhancing UX, and this course equips UX Designers with the knowledge to incorporate AI into their designs.
Business Analyst
Business Analysts identify and analyze business needs and develop solutions to improve processes. Introduction to Generative AI empowers Business Analysts to explore how AI can contribute to data-driven decision-making and process optimization.
Content Writer
Content Writers create written content for websites, blogs, articles, and other marketing materials. Generative AI is introducing new possibilities for content creation, and this course provides Content Writers with a foundation to explore these capabilities.
Sales Manager
Sales Managers lead and motivate sales teams to achieve revenue goals. Generative AI has the potential to transform sales techniques, and this course provides Sales Managers with the knowledge to adapt to these changes and use AI effectively.
Technical Writer
Technical Writers create user guides, technical documentation, and other materials that explain complex technical concepts. Introduction to Generative AI may be useful for Technical Writers who want to learn how to use AI to enhance their writing process.
Customer Success Manager
Customer Success Managers ensure that customers are satisfied with a company's products or services. Introduction to Generative AI may be helpful for Customer Success Managers who want to explore how AI can assist in providing personalized customer support.
Project Manager
Project Managers plan, execute, and manage projects to ensure their successful completion. Generative AI is becoming increasingly important in project management, and this course provides Project Managers with a foundation to understand its potential applications.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Generative AI - Italiano.
Offers a comprehensive overview of AI, including generative AI. It good starting point for those who want to learn more about the field.
Covers the fundamentals of deep learning, which is the foundation of many generative AI models. It good starting point for those new to deep learning.
Provides a comprehensive overview of AI, including generative AI. It good resource for those who want to understand the basics of AI without getting into the technical details.
Explains techniques for making machine learning models more interpretable, which is important for understanding and debugging generative AI models.
Explores the ethical implications of AI, including generative AI. It good read for those interested in the responsible development and use of AI.
Provides a non-technical overview of AI, including generative AI. It good resource for those who want to understand the basics of AI without getting into the technical details.
Provides an overview of the educational applications of generative AI. It is suitable for readers with no prior knowledge of machine learning or AI.
Provides an overview of the healthcare applications of generative AI. It is suitable for readers with no prior knowledge of machine learning or AI.
Provides an overview of the social good applications of generative AI. It is suitable for readers with no prior knowledge of machine learning or AI.

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