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Mo Rebaie
In this 1-hour project-based course, you'll dive into text generation using Google Bard, MakerSuite, and the PaLM API on Google Colab. We'll start with an exploration of PaLM's integration with Bard and MakerSuite, followed by interactive sessions with Bard to explore various prompt themes, and hands-on experimentation with text and chat prompts in MakerSuite.
Read more
In this 1-hour project-based course, you'll dive into text generation using Google Bard, MakerSuite, and the PaLM API on Google Colab. We'll start with an exploration of PaLM's integration with Bard and MakerSuite, followed by interactive sessions with Bard to explore various prompt themes, and hands-on experimentation with text and chat prompts in MakerSuite.
Read more
In this 1-hour project-based course, you'll dive into text generation using Google Bard, MakerSuite, and the PaLM API on Google Colab. We'll start with an exploration of PaLM's integration with Bard and MakerSuite, followed by interactive sessions with Bard to explore various prompt themes, and hands-on experimentation with text and chat prompts in MakerSuite.
As you progress, you'll get hands-on experience with different facets of text generation, exploring the capabilities of each tool, and understanding their unique features. This project is designed to provide a practical understanding of generative AI tools and how they can be utilized for various text generation tasks. With no stringent prerequisites, this course is accessible for a broad audience, offering a step-by-step approach to exploring and creating with generative AI, leaving you with valuable insights and a comprehensive project showcasing the skills acquired.
Register for this course and see more details by visiting:
OpenCourser.com/course/zi8fbc/google
What's inside
Syllabus
Work with Generative AI with Prompts on Google Bard, MakerSuite, PaLM API
By the end of this project, learners will be able to generate text using Google Bard, prototype generative AI ideas with MakerSuite, and execute cool prompts through the PaLM API on Google Colab, unlocking the captivating potential of generative AI.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces learners to relevant industry tools and their unique features
Offers interactive exercises to enhance practical understanding of text generation
Provides a hands-on approach to exploring and creating with generative AI, empowering learners with practical skills
Accessible for a broad audience, serving as a valuable introduction to generative AI for beginners
Suitable for various learner profiles, catering to those interested in exploring generative AI for both personal and professional development
No explicit prerequisites, making it accessible to learners with varying backgrounds
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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 Google Bard for Beginners: Text Generation with Prompts with these
activities:
Find an experienced mentor in generative AI
Show steps
Having a mentor who is already knowledgeable and skilled in generative AI will help you progress more quickly and avoid common pitfalls.
Browse courses on
Mentorship
Show steps
-
Identify potential mentors who have expertise in generative AI
-
Reach out to your potential mentors and introduce yourself
-
Ask your mentor for guidance and support in your generative AI learning journey
Join a study group for the course
Show steps
You'll get a chance to interact with other students who are taking the same course, share insights, and help each other learn.
Browse courses on
Collaboration
Show steps
-
Find a study group to join
-
Attend study group meetings regularly
-
Participate in discussions and share your insights
Implement generative AI features in Python
Show steps
You'll need a strong foundation in building and deploying Generative AI applications using Python. Use this refresher to make sure your skills are up to par.
Browse courses on
Generative AI
Show steps
-
Review basic Python programming concepts
-
Explore libraries and frameworks for Generative AI in Python, such as Transformers and Hugging Face
-
Practice building and deploying Generative AI models using Python
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a curated list of resources on generative AI
Show steps
You'll be able to easily access a wealth of information on generative AI in one place.
Browse courses on
Generative AI
Show steps
-
Gather resources on generative AI from different sources
-
Organize the resources into a curated list
-
Share your curated list with others
Create a text summarization project using Google Bard
Show steps
You'll learn how to use Google Bard to build a text summarization engine. This will give you valuable experience applying generative AI to real-world problems.
Browse courses on
Text Summarization
Show steps
-
Follow a tutorial on how to use Google Bard for text summarization
-
Build a simple text summarization engine using Google Bard
-
Test your text summarization engine on a variety of texts
Write a blog post about the applications of generative AI in business
Show steps
You'll get to share your knowledge about generative AI and its potential business applications with others.
Browse courses on
Generative AI
Show steps
-
Research the applications of generative AI in business
-
Write a blog post about your findings
-
Publish your blog post on a relevant platform
Build a chatbot using a generative AI model
Show steps
You'll get hands-on experience building a real-world application using generative AI.
Browse courses on
Chatbots
Show steps
-
Choose a generative AI model for your chatbot
-
Design the architecture of your chatbot
-
Implement your chatbot using the generative AI model
-
Deploy your chatbot and test its performance
Participate in a generative AI hackathon
Show steps
You'll get to compete against other generative AI enthusiasts and learn from their approaches.
Browse courses on
Generative AI
Show steps
-
Find a generative AI hackathon to participate in
-
Form a team or work on your own
-
Develop a generative AI project for the hackathon
-
Submit your project to the hackathon
Find an experienced mentor in generative AI
Show steps
Having a mentor who is already knowledgeable and skilled in generative AI will help you progress more quickly and avoid common pitfalls.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Identify potential mentors who have expertise in generative AI
- Reach out to your potential mentors and introduce yourself
- Ask your mentor for guidance and support in your generative AI learning journey
Join a study group for the course
Show steps
You'll get a chance to interact with other students who are taking the same course, share insights, and help each other learn.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Find a study group to join
- Attend study group meetings regularly
- Participate in discussions and share your insights
Implement generative AI features in Python
Show steps
You'll need a strong foundation in building and deploying Generative AI applications using Python. Use this refresher to make sure your skills are up to par.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Review basic Python programming concepts
- Explore libraries and frameworks for Generative AI in Python, such as Transformers and Hugging Face
- Practice building and deploying Generative AI models using Python
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a curated list of resources on generative AI
Show steps
You'll be able to easily access a wealth of information on generative AI in one place.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Gather resources on generative AI from different sources
- Organize the resources into a curated list
- Share your curated list with others
Create a text summarization project using Google Bard
Show steps
You'll learn how to use Google Bard to build a text summarization engine. This will give you valuable experience applying generative AI to real-world problems.
Browse courses on
Text Summarization
Show steps
Show steps
Show steps
- Follow a tutorial on how to use Google Bard for text summarization
- Build a simple text summarization engine using Google Bard
- Test your text summarization engine on a variety of texts
Write a blog post about the applications of generative AI in business
Show steps
You'll get to share your knowledge about generative AI and its potential business applications with others.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Research the applications of generative AI in business
- Write a blog post about your findings
- Publish your blog post on a relevant platform
Build a chatbot using a generative AI model
Show steps
You'll get hands-on experience building a real-world application using generative AI.
Browse courses on
Chatbots
Show steps
Show steps
Show steps
- Choose a generative AI model for your chatbot
- Design the architecture of your chatbot
- Implement your chatbot using the generative AI model
- Deploy your chatbot and test its performance
Participate in a generative AI hackathon
Show steps
You'll get to compete against other generative AI enthusiasts and learn from their approaches.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Find a generative AI hackathon to participate in
- Form a team or work on your own
- Develop a generative AI project for the hackathon
- Submit your project to the hackathon
Career center
Learners who complete Google Bard for Beginners: Text Generation with Prompts will develop knowledge and skills
that may be useful to these careers:
AI Engineer
AI Engineer
An AI Engineer designs, builds, deploys, and maintains artificial intelligence systems. They work on a variety of projects, from developing new AI algorithms to integrating AI into existing systems. This course can help you build a strong foundation in AI and prepare you for a career as an AI Engineer. You'll learn about the latest AI techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
Natural Language Processing Engineer
Natural Language Processing Engineer
A Natural Language Processing Engineer designs, builds, and deploys systems that can understand and generate human language. They work on a variety of projects, from developing chatbots to translating text between languages. This course can help you build a strong foundation in natural language processing and prepare you for a career as an NLP Engineer. You'll learn about the latest NLP techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, builds, and deploys machine learning models. They work on a variety of projects, from developing new machine learning algorithms to integrating machine learning into existing systems. This course can help you build a strong foundation in machine learning and prepare you for a career as an ML Engineer. You'll learn about the latest ML techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
Data Scientist
Data Scientist
A Data Scientist uses data to solve problems and make predictions. They work on a variety of projects, from developing new data analysis algorithms to building predictive models. This course can help you build a strong foundation in data science and prepare you for a career as a Data Scientist. You'll learn about the latest data science techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
Software Engineer
Software Engineer
A Software Engineer designs, builds, and deploys software systems. They work on a variety of projects, from developing new software applications to maintaining existing systems. This course can help you build a strong foundation in software engineering and prepare you for a career as a Software Engineer. You'll learn about the latest software development techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
Product Manager
Product Manager
A Product Manager is responsible for the development and launch of new products. They work closely with engineers, designers, and marketers to ensure that products meet the needs of customers. This course can help you build a strong foundation in product management and prepare you for a career as a Product Manager. You'll learn about the latest product development techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
User Experience Designer
User Experience Designer
A User Experience Designer designs and evaluates the user experience of products and services. They work to ensure that products are easy to use and enjoyable to interact with. This course can help you build a strong foundation in user experience design and prepare you for a career as a UX Designer. You'll learn about the latest UX design techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
Content Writer
Content Writer
A Content Writer creates and manages content for websites, blogs, and other online platforms. They work to ensure that content is engaging, informative, and well-written. This course can help you build a strong foundation in content writing and prepare you for a career as a Content Writer. You'll learn about the latest content writing techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
Technical Writer
Technical Writer
A Technical Writer creates and maintains documentation for software and other technical products. They work to ensure that documentation is clear, accurate, and easy to understand. This course can help you build a strong foundation in technical writing and prepare you for a career as a Technical Writer. You'll learn about the latest technical writing techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
Sales Manager
Sales Manager
A Sales Manager is responsible for leading and managing a team of sales representatives. They work to develop and execute sales strategies and generate revenue. This course can help you build a strong foundation in sales and prepare you for a career as a Sales Manager. You'll learn about the latest sales techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. They work to promote products and services and generate leads. This course can help you build a strong foundation in marketing and prepare you for a career as a Marketing Manager. You'll learn about the latest marketing techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
Customer Success Manager
Customer Success Manager
A Customer Success Manager is responsible for ensuring that customers are satisfied with their products and services. They work to resolve customer issues and build relationships with customers. This course can help you build a strong foundation in customer success and prepare you for a career as a Customer Success Manager. You'll learn about the latest customer success techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
Recruiter
Recruiter
A Recruiter is responsible for finding and hiring new employees. They work with hiring managers to identify job openings and develop recruiting strategies. This course can help you build a strong foundation in recruiting and prepare you for a career as a Recruiter. You'll learn about the latest recruiting techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying areas for improvement. They work with stakeholders to gather requirements and develop solutions. This course may help you build a strong foundation in business analysis and prepare you for a career as a Business Analyst. You'll learn about the latest business analysis techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and delivering projects. They work with stakeholders to define project scope, develop project plans, and manage project risks. This course may help you build a strong foundation in project management and prepare you for a career as a Project Manager. You'll learn about the latest project management techniques and tools, and you'll gain hands-on experience with generative AI and chatbots.
For more career information including salaries, visit:
OpenCourser.com/course/zi8fbc/google
Reading list
We've selected seven 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
Google Bard for Beginners: Text Generation with Prompts.
Save
Provides a comprehensive overview of computer vision, covering topics such as image processing, feature extraction, and object recognition. It helpful resource for understanding the fundamental concepts and techniques used in computer vision.
Provides a comprehensive overview of reinforcement learning, covering topics such as Markov decision processes, value functions, and policy gradient methods. It helpful resource for understanding the fundamental concepts and techniques used in reinforcement learning.
Save
Provides a comprehensive overview of deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It helpful resource for understanding the fundamental concepts and techniques used in deep learning.
Provides a comprehensive overview of statistical learning, covering topics such as linear regression, logistic regression, and decision trees. It helpful resource for understanding the fundamental concepts and techniques used in statistical learning.
Provides a comprehensive overview of pattern recognition and machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It helpful resource for understanding the fundamental concepts and techniques used in pattern recognition and machine learning.
Provides a comprehensive overview of machine learning, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It helpful resource for understanding the fundamental concepts and techniques used in machine learning.
Provides a comprehensive overview of machine learning from a probabilistic perspective, covering topics such as Bayesian inference, Gaussian processes, and Markov random fields. It helpful resource for understanding the fundamental concepts and techniques used in machine learning from a probabilistic perspective.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/zi8fbc/google
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Effort
1 hour
Level
Introductory
Via
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Institution
Coursera Project Network
Instructor
Mo Rebaie
Language
English
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Good to know
Introduces learners to relevant industry tools and their unique features
Offers interactive exercises to enhance practical understanding of text generation
Provides a hands-on approach to exploring and creating with generative AI, empowering learners with practical skills
Accessible for a broad audience, serving as a valuable introduction to generative AI for beginners
Suitable for various learner profiles, catering to those interested in exploring generative AI for both personal and professional development
No explicit prerequisites, making it accessible to learners with varying backgrounds
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