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Google Cloud Training
This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
Register for this course and see more details by visiting:
OpenCourser.com/course/rnn6bx/introduction
What's inside
Syllabus
Introduction to Large Language Models
This module explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores large language models (LLM), an industry standard for natural language processing
Covers prompt tuning, a technique for enhancing LLM performance
Provides hands-on experience with Google tools for developing Gen AI applications
Taught by Google Cloud Training, renowned for expertise in cloud computing and AI
May require knowledge of programming and natural language processing concepts
Save this course
Save Introduction to Large Language Models to your list so you can find it easily later:
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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 Large Language Models with these
activities:
Review important concepts
Show steps
Refresh your knowledge about key LLM principles to enhance your understanding of the course materials.
Browse courses on
Large Language Models
Show steps
-
Revisit theoretical foundations of LLMs
-
Practice hands-on LLM programming exercises
-
Review LLM project case studies
Explore Google AI Cloud tutorials
Show steps
Familiarize yourself with Google AI Cloud services and tools to enhance your LLM development skills.
Show steps
-
Choose a tutorial relevant to your interests
-
Follow step-by-step instructions
-
Experiment with different parameters and settings
-
Review and debug your code
Solve LLM coding challenges on LeetCode
Show steps
Enhance your LLM programming skills by solving real-world LLM-related challenges.
Show steps
-
Select a challenge that aligns with your learning goals
-
Analyze the problem statement
-
Develop an LLM-based solution
-
Review and optimize your solution
Four other activities
Expand to see all activities and additional details
Show all seven activities
Develop a prototype LLM application
Show steps
Apply your understanding of LLMs by creating a prototype application that showcases your LLM development skills.
Show steps
-
Identify a problem or opportunity that can be addressed with an LLM
-
Design and plan your LLM application
-
Develop and train the LLM model
-
Build the user interface and integrate the LLM
-
Test and refine your application
Build an LLM-powered chatbot
Show steps
Apply your understanding of LLMs by creating a practical application that showcases your LLM development skills.
Show steps
-
Design the chatbot's functionality and user interface
-
Train the LLM model on relevant data
-
Integrate the chatbot with a messaging platform
-
Test and refine the chatbot's performance
Attend AI industry meetups or conferences
Show steps
Connect with professionals in the field and stay updated on the latest LLM trends and applications.
Show steps
-
Identify relevant meetups or conferences
-
Register and attend the event
-
Network with attendees and speakers
-
Follow up with new connections
Contribute to open-source LLM projects
Show steps
Gain hands-on experience and contribute to the LLM community by collaborating on open-source projects.
Show steps
-
Identify open-source LLM projects that align with your interests
-
Review the project documentation and codebase
-
Identify areas where you can contribute
-
Submit your code contributions and collaborate with other developers
Review important concepts
Show steps
Refresh your knowledge about key LLM principles to enhance your understanding of the course materials.
Browse courses on
Large Language Models
Show steps
Show steps
Show steps
- Revisit theoretical foundations of LLMs
- Practice hands-on LLM programming exercises
- Review LLM project case studies
Explore Google AI Cloud tutorials
Show steps
Familiarize yourself with Google AI Cloud services and tools to enhance your LLM development skills.
Show steps
Show steps
Show steps
- Choose a tutorial relevant to your interests
- Follow step-by-step instructions
- Experiment with different parameters and settings
- Review and debug your code
Solve LLM coding challenges on LeetCode
Show steps
Enhance your LLM programming skills by solving real-world LLM-related challenges.
Show steps
Show steps
Show steps
- Select a challenge that aligns with your learning goals
- Analyze the problem statement
- Develop an LLM-based solution
- Review and optimize your solution
Four other activities
Expand to see all activities and additional details
Show all seven activities
Develop a prototype LLM application
Show steps
Apply your understanding of LLMs by creating a prototype application that showcases your LLM development skills.
Show steps
Show steps
Show steps
- Identify a problem or opportunity that can be addressed with an LLM
- Design and plan your LLM application
- Develop and train the LLM model
- Build the user interface and integrate the LLM
- Test and refine your application
Build an LLM-powered chatbot
Show steps
Apply your understanding of LLMs by creating a practical application that showcases your LLM development skills.
Show steps
Show steps
Show steps
- Design the chatbot's functionality and user interface
- Train the LLM model on relevant data
- Integrate the chatbot with a messaging platform
- Test and refine the chatbot's performance
Attend AI industry meetups or conferences
Show steps
Connect with professionals in the field and stay updated on the latest LLM trends and applications.
Show steps
Show steps
Show steps
- Identify relevant meetups or conferences
- Register and attend the event
- Network with attendees and speakers
- Follow up with new connections
Contribute to open-source LLM projects
Show steps
Gain hands-on experience and contribute to the LLM community by collaborating on open-source projects.
Show steps
Show steps
Show steps
- Identify open-source LLM projects that align with your interests
- Review the project documentation and codebase
- Identify areas where you can contribute
- Submit your code contributions and collaborate with other developers
Career center
Learners who complete Introduction to Large Language Models will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist develops and builds analytical models for improving insights into the line of business. They provide actionable insights for stakeholders and make data-driven recommendations. This course can help build a foundation in large language models, which are increasingly used in data science. By understanding the capabilities and limitations of LLMs, Data Scientists can leverage them effectively in their work.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models for a variety of applications. This course can help build a foundation in large language models, which are a powerful tool for training machine learning models. By understanding how LLMs work and how to use them effectively, Machine Learning Engineers can improve the accuracy and performance of their models.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help build a foundation in large language models, which are increasingly being used in software development. By understanding how LLMs work and how to use them effectively, Software Engineers can create more powerful and efficient applications.
Product Manager
Product Manager
Product Managers are responsible for developing and managing the lifecycle of a product. This course can help build a foundation in large language models, which are increasingly being used in product development. By understanding how LLMs work and how to use them effectively, Product Managers can create better products that meet the needs of their users.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help organizations make informed decisions. This course can help build a foundation in large language models, which are increasingly being used in data analysis. By understanding how LLMs work and how to use them effectively, Data Analysts can gain deeper insights into data and make better recommendations for action.
Business Analyst
Business Analyst
Business Analysts help organizations improve their performance by analyzing data and identifying opportunities for improvement. This course can help build a foundation in large language models, which are increasingly being used in business analysis. By understanding how LLMs work and how to use them effectively, Business Analysts can gain deeper insights into data and make better recommendations for improvement.
Content Writer
Content Writer
Content Writers create written content for websites, blogs, and other online platforms. This course can help build a foundation in large language models, which are increasingly being used in content writing. By understanding how LLMs work and how to use them effectively, Content Writers can create more engaging and informative content.
Technical Writer
Technical Writer
Technical Writers create documentation for software, hardware, and other technical products. This course can help build a foundation in large language models, which are increasingly being used in technical writing. By understanding how LLMs work and how to use them effectively, Technical Writers can create more clear and concise documentation.
Marketing Manager
Marketing Manager
Marketing Managers develop and execute marketing campaigns to promote products and services. This course can help build a foundation in large language models, which are increasingly being used in marketing. By understanding how LLMs work and how to use them effectively, Marketing Managers can create more effective marketing campaigns.
Customer Success Manager
Customer Success Manager
Customer Success Managers help customers achieve their goals with a product or service. This course may be useful for Customer Success Managers who want to understand how large language models can be used to improve customer satisfaction. By understanding how LLMs work and how to use them effectively, Customer Success Managers can provide better support to customers, identify and resolve problems, and build stronger relationships with customers.
Sales Manager
Sales Manager
Sales Managers lead and manage sales teams to achieve sales goals. This course may be useful for Sales Managers who want to understand how large language models can be used to improve sales performance. By understanding how LLMs work and how to use them effectively, Sales Managers can identify and qualify leads, close deals, and build stronger relationships with customers.
Project Manager
Project Manager
Project Managers plan and execute projects to achieve specific goals. This course may be useful for Project Managers who want to understand how large language models can be used to improve project management. By understanding how LLMs work and how to use them effectively, Project Managers can create better project plans, track progress, and manage risks.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts test software and other products to ensure that they meet quality standards. This course may be useful for Quality Assurance Analysts who want to understand how large language models can be used to improve testing. By understanding how LLMs work and how to use them effectively, Quality Assurance Analysts can create better test cases, identify defects, and improve the quality of software products.
Research Analyst
Research Analyst
Research Analysts conduct research to inform decision-making. This course may be useful for Research Analysts who want to understand how large language models can be used to improve research. By understanding how LLMs work and how to use them effectively, Research Analysts can gather data, analyze data, and draw insights more efficiently.
Operations Manager
Operations Manager
Operations Managers oversee the day-to-day operations of a business. This course may be useful for Operations Managers who want to understand how large language models can be used to improve operational efficiency. By understanding how LLMs work and how to use them effectively, Operations Managers can identify and streamline processes, reduce costs, and improve customer satisfaction.
For more career information including salaries, visit:
OpenCourser.com/course/rnn6bx/introduction
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 Large Language Models.
Provides a comprehensive overview of large language models (LLMs), covering the history, architecture, and applications of LLMs. It valuable resource for anyone interested in learning more about LLMs.
Provides a comprehensive introduction to deep learning, covering the basics of neural networks, convolutional neural networks, recurrent neural networks, and other advanced topics. It valuable resource for both beginners and experienced practitioners.
Provides a comprehensive overview of speech and language processing, covering the basics of speech recognition, natural language processing, and other advanced topics. It valuable resource for both beginners and experienced practitioners.
Save
Provides a comprehensive overview of computer vision, covering the basics of image processing, feature detection, and other advanced topics. It valuable resource for both beginners and experienced practitioners.
Provides a comprehensive overview of natural language processing (NLP) in Python, covering the basics of NLP, text mining, and other advanced topics. It valuable resource for both beginners and experienced practitioners.
Provides a comprehensive overview of AI, covering the history, philosophy, and applications of AI. It valuable resource for anyone interested in learning more about AI.
Provides a concise overview of robotics, covering the history, applications, and challenges of robotics. It valuable resource for anyone interested in learning more about robotics.
Explores the potential risks and benefits of AI, and discusses the importance of developing AI that is safe and beneficial to humanity.
Save
Explores the potential risks and benefits of superintelligence, and discusses the importance of developing AI that is safe and beneficial to humanity.
Explores the challenges of aligning AI systems with human values, and discusses the importance of developing AI that is safe and beneficial to humanity.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rnn6bx/introduction
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Level
Introductory
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Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Transcripts
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Good to know
Explores large language models (LLM), an industry standard for natural language processing
Covers prompt tuning, a technique for enhancing LLM performance
Provides hands-on experience with Google tools for developing Gen AI applications
Taught by Google Cloud Training, renowned for expertise in cloud computing and AI
May require knowledge of programming and natural language processing concepts
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