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Brian Cruz,
Emily McMilin,
Victor Geislinger,
Jason Lin,
Erick Galinkin,
Giacomo Vianello,
Chuyi Shang,
Annabel Ng,
Derek Xu,
Nathaniel Haynam,
Valerie Scarlata,
Chang She,
and
Sergei Kozyrenko
Elevate your AI skills with Udacity. Learn to build Generative AI solutions with Vector databases, LangChain, and more. Enroll now for cutting-edge AI training.
Prerequisite details
Read more
Elevate your AI skills with Udacity. Learn to build Generative AI solutions with Vector databases, LangChain, and more. Enroll now for cutting-edge AI training.
Prerequisite details
Read more
Elevate your AI skills with Udacity. Learn to build Generative AI solutions with Vector databases, LangChain, and more. Enroll now for cutting-edge AI training.
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Database fundamentals
- Intermediate Python
- Generative AI Fluency
- API requests
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/rfj151/building
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What's inside
Syllabus
This lesson explores the design and implementation of Generative AI using Large Language Models in features, applications, and solutions.
This lesson covers vector databases, crucial for enhancing AI's long-term memory. Topics include core concepts, retrieval methods, and advanced indexing.
Read more
Syllabus
This lesson explores the design and implementation of Generative AI using Large Language Models in features, applications, and solutions.
This lesson covers vector databases, crucial for enhancing AI's long-term memory. Topics include core concepts, retrieval methods, and advanced indexing.
Read more
In this lesson, you will explore and get hands-on with LangChain, a framework for working with large language models (LLM) and powering the next generation of AI apps.
In this project, you'll create a "Real Estate Agent" that uses large language models for content generation, and vector databases for semantic search to provide personalized real estate listings.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides an overview of Generative AI, which is rapidly reshaping various industries
Taught by industry experts with proven track records in Generative AI
Covers advanced topics such as vector databases and LangChain, which are at the forefront of AI research and development
Requires prior knowledge in database fundamentals, intermediate Python, and Generative AI fluency
Emphasizes both theoretical understanding and practical hands-on experience with real-world projects
Covers a wide range of applications of Generative AI, making it relevant to professionals in various fields
Save this course
Save Building Generative AI Solutions to your list so you can find it easily later:
Save
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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 Building Generative AI Solutions with these
activities:
Sharpen Your Python Skills
Show steps
Refresh your Python programming skills, focusing on data handling and manipulation techniques.
Show steps
-
Review basic Python syntax, including data types, control flow, and functions.
-
Practice writing Python code to manipulate data structures, such as lists, dictionaries, and NumPy arrays.
Review Python fundamentals
Show steps
Strengthen your Python skills to ensure you have a solid foundation for building Generative AI solutions.
Browse courses on
Python
Show steps
-
Revisit basic Python syntax and data structures
-
Practice writing simple Python programs
-
Complete online Python tutorials or exercises
Review Database Fundamentals
Show steps
Ensure a strong foundation for working with databases, improving your understanding of data storage and retrieval concepts.
Browse courses on
Database Fundamentals
Show steps
-
Revisit the core concepts of relational databases, including tables, attributes, and relationships.
-
Practice creating and querying databases using SQL.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Join a Study Group for Vector Databases
Show steps
Enhance your understanding of vector databases and their role in AI by participating in a study group with your peers.
Browse courses on
Vector Databases
Show steps
-
Join or form a study group focused on vector databases.
-
Discuss topics, share resources, and collaborate on projects.
Practice SQL queries on a real-world dataset
Show steps
Enhance your understanding of database fundamentals and improve your SQL querying skills by working with real-world data.
Show steps
-
Find an open-source dataset that aligns with your interests
-
Familiarize yourself with the dataset's schema and data structure
-
Write SQL queries to extract insights and answer business questions
-
Optimize your queries for performance and efficiency
Explore LangChain for LLM Integration
Show steps
Expand your understanding of working with large language models by following tutorials on LangChain, a powerful framework for building AI applications.
Browse courses on
LangChain
Show steps
-
Follow online tutorials to set up and use LangChain.
-
Experiment with different LLM models and fine-tuning techniques.
Build a chatbot using GPT-3
Show steps
Deepen your knowledge of generative AI by building a practical NLP application using GPT-3.
Browse courses on
Large Language Models
Show steps
-
Explore GPT-3's capabilities and limitations
-
Design and implement a chatbot prototype
-
Train and evaluate your chatbot using real-world data
-
Deploy your chatbot on a platform or website
Build a collection of Generative AI use cases
Show steps
Expand your knowledge of Generative AI by gathering and analyzing real-world examples of its applications.
Browse courses on
Generative AI
Show steps
-
Research and identify different industries and domains where Generative AI is being used
-
Collect articles, case studies, and research papers showcasing successful Generative AI implementations
-
Organize and categorize your findings based on industry, application, and technical approach
-
Present your compilation in a blog post, presentation, or research paper
Build a Real-World Generative AI Project
Show steps
Solidify your understanding of Generative AI by creating a practical project that leverages LLMs and vector databases.
Browse courses on
Generative AI
Show steps
-
Identify a problem or task that can be solved using Generative AI.
-
Design and develop a solution using LLMs and vector databases.
-
Train and evaluate your model to ensure its effectiveness.
Create a Generative AI art generator
Show steps
Demonstrate your creativity and technical skills by building a Generative AI system that can create unique and captivating artwork.
Browse courses on
Generative Art
Show steps
-
Explore different Generative AI techniques for art generation
-
Design and develop your art generator
-
Train your model on a dataset of images
-
Generate and curate a portfolio of AI-generated artwork
Develop a Generative AI strategy for a specific industry
Show steps
Apply your understanding of Generative AI to develop a practical strategy for a specific industry, showcasing your ability to bridge theory and practice.
Browse courses on
Generative AI
Show steps
-
Research and analyze the target industry
-
Identify potential applications of Generative AI
-
Develop a roadmap for implementing Generative AI solutions
-
Create a presentation or white paper outlining your strategy
Mentor junior developers on Generative AI projects
Show steps
Contribute to the Generative AI community by sharing your knowledge and guiding aspiring developers.
Browse courses on
Generative AI
Show steps
-
Identify opportunities to mentor junior developers
-
Provide guidance on Generative AI project ideas
-
Offer support and feedback on technical implementation
-
Share your insights and experiences in the field of Generative AI
Sharpen Your Python Skills
Show steps
Refresh your Python programming skills, focusing on data handling and manipulation techniques.
Show steps
Show steps
Show steps
- Review basic Python syntax, including data types, control flow, and functions.
- Practice writing Python code to manipulate data structures, such as lists, dictionaries, and NumPy arrays.
Review Python fundamentals
Show steps
Strengthen your Python skills to ensure you have a solid foundation for building Generative AI solutions.
Browse courses on
Python
Show steps
Show steps
Show steps
- Revisit basic Python syntax and data structures
- Practice writing simple Python programs
- Complete online Python tutorials or exercises
Review Database Fundamentals
Show steps
Ensure a strong foundation for working with databases, improving your understanding of data storage and retrieval concepts.
Browse courses on
Database Fundamentals
Show steps
Show steps
Show steps
- Revisit the core concepts of relational databases, including tables, attributes, and relationships.
- Practice creating and querying databases using SQL.
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Join a Study Group for Vector Databases
Show steps
Enhance your understanding of vector databases and their role in AI by participating in a study group with your peers.
Browse courses on
Vector Databases
Show steps
Show steps
Show steps
- Join or form a study group focused on vector databases.
- Discuss topics, share resources, and collaborate on projects.
Practice SQL queries on a real-world dataset
Show steps
Enhance your understanding of database fundamentals and improve your SQL querying skills by working with real-world data.
Show steps
Show steps
Show steps
- Find an open-source dataset that aligns with your interests
- Familiarize yourself with the dataset's schema and data structure
- Write SQL queries to extract insights and answer business questions
- Optimize your queries for performance and efficiency
Explore LangChain for LLM Integration
Show steps
Expand your understanding of working with large language models by following tutorials on LangChain, a powerful framework for building AI applications.
Browse courses on
LangChain
Show steps
Show steps
Show steps
- Follow online tutorials to set up and use LangChain.
- Experiment with different LLM models and fine-tuning techniques.
Build a chatbot using GPT-3
Show steps
Deepen your knowledge of generative AI by building a practical NLP application using GPT-3.
Browse courses on
Large Language Models
Show steps
Show steps
Show steps
- Explore GPT-3's capabilities and limitations
- Design and implement a chatbot prototype
- Train and evaluate your chatbot using real-world data
- Deploy your chatbot on a platform or website
Build a collection of Generative AI use cases
Show steps
Expand your knowledge of Generative AI by gathering and analyzing real-world examples of its applications.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Research and identify different industries and domains where Generative AI is being used
- Collect articles, case studies, and research papers showcasing successful Generative AI implementations
- Organize and categorize your findings based on industry, application, and technical approach
- Present your compilation in a blog post, presentation, or research paper
Build a Real-World Generative AI Project
Show steps
Solidify your understanding of Generative AI by creating a practical project that leverages LLMs and vector databases.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify a problem or task that can be solved using Generative AI.
- Design and develop a solution using LLMs and vector databases.
- Train and evaluate your model to ensure its effectiveness.
Create a Generative AI art generator
Show steps
Demonstrate your creativity and technical skills by building a Generative AI system that can create unique and captivating artwork.
Browse courses on
Generative Art
Show steps
Show steps
Show steps
- Explore different Generative AI techniques for art generation
- Design and develop your art generator
- Train your model on a dataset of images
- Generate and curate a portfolio of AI-generated artwork
Develop a Generative AI strategy for a specific industry
Show steps
Apply your understanding of Generative AI to develop a practical strategy for a specific industry, showcasing your ability to bridge theory and practice.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Research and analyze the target industry
- Identify potential applications of Generative AI
- Develop a roadmap for implementing Generative AI solutions
- Create a presentation or white paper outlining your strategy
Mentor junior developers on Generative AI projects
Show steps
Contribute to the Generative AI community by sharing your knowledge and guiding aspiring developers.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify opportunities to mentor junior developers
- Provide guidance on Generative AI project ideas
- Offer support and feedback on technical implementation
- Share your insights and experiences in the field of Generative AI
Career center
Learners who complete Building Generative AI Solutions will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
This course can help you build a foundation in the fundamentals of generative AI, including large language models, vector databases, and LangChain. You'll learn how to design and implement generative AI solutions that can solve real-world problems, such as content generation, language translation, and image generation.
Research Scientist
Research Scientist
This course can help you develop the skills needed to conduct research in the field of generative AI. You'll learn about the latest techniques and technologies in natural language processing and machine learning, and you'll gain experience in designing and implementing generative AI solutions.
AI Engineer
AI Engineer
This course can help you build a foundation in the fundamentals of generative AI, including large language models, vector databases, and LangChain. You'll learn how to design and implement generative AI solutions that can solve real-world problems, such as content generation, language translation, and image generation.
Data Scientist
Data Scientist
Learn to build Generative AI solutions that leverage the latest techniques and technologies in natural language processing and machine learning. This course can help you develop the skills needed to design and implement AI solutions that can generate realistic text, images, and other forms of data, which can be valuable for a variety of applications such as content creation, data augmentation, and language translation.
Product Manager
Product Manager
This course can help you develop the skills needed to manage products that incorporate generative AI. You'll learn about the latest trends in generative AI, and you'll gain experience in evaluating and selecting generative AI solutions for your products.
Consultant
Consultant
This course can help you develop the skills needed to consult on generative AI solutions. You'll learn about the different types of generative AI solutions, and you'll gain experience in evaluating and recommending generative AI solutions for your clients.
Technical Writer
Technical Writer
This course can help you develop the skills needed to write technical documentation for generative AI solutions. You'll learn about the different types of generative AI solutions, and you'll gain experience in writing documentation that is clear and concise.
Entrepreneur
Entrepreneur
This course can help you develop the skills needed to start your own business based on generative AI. You'll learn about the different types of generative AI solutions, and you'll gain experience in developing and launching your own generative AI products or services.
UX Designer
UX Designer
This course can help you develop the skills needed to design user experiences for generative AI solutions. You'll learn about the different types of generative AI solutions, and you'll gain experience in designing user experiences that are intuitive and easy to use.
Educator
Educator
This course can help you develop the skills needed to teach generative AI to students. You'll learn about the different types of generative AI solutions, and you'll gain experience in developing and delivering lesson plans that are engaging and informative.
Content Creator
Content Creator
This course can help you develop the skills needed to create content using generative AI. You'll learn about the different types of generative AI content, and you'll gain experience in using generative AI tools to create content for your projects.
Freelancer
Freelancer
This course can help you develop the skills needed to freelance as a generative AI expert. You'll learn about the different types of generative AI solutions, and you'll gain experience in developing and selling your own generative AI services.
Business Analyst
Business Analyst
This course can help you develop the skills needed to understand and analyze the business value of generative AI. You'll learn about the different types of generative AI solutions, and you'll gain experience in evaluating and recommending generative AI solutions for your organization.
Software Engineer
Software Engineer
This course can help you develop the skills needed to build and implement generative AI solutions. You'll learn how to use large language models, vector databases, and LangChain to create AI-powered applications that can generate text, images, and other forms of data.
Data Analyst
Data Analyst
This course can help you develop the skills needed to analyze data generated by generative AI solutions. You'll learn about the different types of generative AI data, and you'll gain experience in using data analysis techniques to extract insights from generative AI data.
For more career information including salaries, visit:
OpenCourser.com/course/rfj151/building
Reading list
We've selected six 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
Building Generative AI Solutions.
Save
Provides an in-depth exploration of deep learning concepts and applications, complementing the course's focus on generative AI.
Serves as a comprehensive introduction to machine learning, including supervised and unsupervised learning, for readers with a programming background. Provides a foundation for understanding the concepts of generative AI.
Delves into natural language processing techniques using Python and the Natural Language Toolkit. Offers practical insights into language generation, a core aspect of the course.
Explores advanced Python concepts and techniques, such as decorators, metaclasses, and concurrency. Enhances the understanding of Python programming, which is essential for implementing generative AI solutions.
Save
Provides a deep dive into database architecture and design principles. Serves as a helpful reference for understanding the underlying concepts of vector databases covered in the course.
Save
Provides a framework for systems thinking, enabling learners to better understand the interconnectedness and emergent behaviors of AI systems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/rfj151/building
Share
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Effort
4 weeks
Level
Intermediate
Via
Udacity
Instructors
Brian Cruz
Emily McMilin
Victor Geislinger
Jason Lin
Erick Galinkin
Giacomo Vianello
Chuyi Shang
Annabel Ng
Derek Xu
Nathaniel Haynam
Valerie Scarlata
Chang She
Sergei Kozyrenko
Language
English
Good to know
Provides an overview of Generative AI, which is rapidly reshaping various industries
Taught by industry experts with proven track records in Generative AI
Covers advanced topics such as vector databases and LangChain, which are at the forefront of AI research and development
Requires prior knowledge in database fundamentals, intermediate Python, and Generative AI fluency
Emphasizes both theoretical understanding and practical hands-on experience with real-world projects
Covers a wide range of applications of Generative AI, making it relevant to professionals in various fields
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