Generative AI modeling is an in-demand skill for AI model development. Employers now expect generative AI skills to be on an AI engineer’s resume. This hands-on course, which is also part of the IBM AI Applied Professional Certificate, will help you build the generative AI skills you need to stand out as an AI developer.
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Generative AI modeling is an in-demand skill for AI model development. Employers now expect generative AI skills to be on an AI engineer’s resume. This hands-on course, which is also part of the IBM AI Applied Professional Certificate, will help you build the generative AI skills you need to stand out as an AI developer.
Generative AI modeling is an in-demand skill for AI model development. Employers now expect generative AI skills to be on an AI engineer’s resume. This hands-on course, which is also part of the IBM AI Applied Professional Certificate, will help you build the generative AI skills you need to stand out as an AI developer.
Throughout the course, you’ll get valuable practical experience working on guided projects that provide step-by-step instructions for building generative AI-powered applications. As part of this, you’ll work with Python and related libraries like Flask and Gradio, plus you’ll use frameworks such as Langchain. The course includes learning elements such as videos and readings to help you understand the models, frameworks, and technologies used in the projects.
You’ll also dive into building intelligent chatbots and apps using popular large language models (LLMs) such as GPT3 and Llama 2 hosted on platforms like IBM watsonx and Hugging Face. You'll explore retrieval-augmented generation (RAG) technology to enhance LLMs by incorporating external information beyond their training data. You’ll be able to build voice-enabled chatbots and apps using IBM Watson ® Speech Libraries for Embed.
To get the most out of this course, it is essential that you have a basic understanding of the Python programming language. It is also of benefit if you are familiar with HTML, CSS, and JavaScript, though this is not a requirement. This course is ideal for tech professionals who have some experience with Python and are ready to build the highly sought-after generative AI skills required to be an AI engineer or AI developer. If that’s you… enroll today and build job-ready gen AI skills in 6 weeks.
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What's inside
Learning objectives
- Job-ready generative ai app development skills in 6 weeks, supported by practical experience and an industry-recognized credential.
- How to integrate and enhance large language models (llms) using rag technology to build intelligent apps and chatbots.
- How to use python libraries like flask and gradio to create web applications that interact with generative ai models.
- How to use different frameworks and ai technologies to build ai-powered applications.
- How to build generative ai-powered applications and chatbots using generative ai models, python, and related frameworks.
- Job-ready generative ai app development skills in 6 weeks, supported by practical experience and an industry-recognized credential.
- How to integrate and enhance large language models (llms) using rag technology to build intelligent apps and chatbots.
- How to use python libraries like flask and gradio to create web applications that interact with generative ai models.
- How to use different frameworks and ai technologies to build ai-powered applications.
- How to build generative ai-powered applications and chatbots using generative ai models, python, and related frameworks.
Syllabus
Module 1: Image Captioning with Generative AI
• Video: Course Introduction
• Reading: Course Overview
• Reading: Helpful Tips for Course Completion
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Syllabus
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Activities
Review 'Deep Learning with Python'
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Review the core concepts of deep learning before the course begins
View
Deep Learning with Python, Second Edition
on Amazon
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-
Read through the first two chapters
-
Complete the first three exercises
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Summarize the key concepts in your own words
Review Python
Show steps
Refresh your foundational knowledge of Python to ensure you're prepared for this course.
Browse courses on
Python
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-
Review Python fundamentals (variables, data types, control flow)
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Practice writing simple Python scripts
Join a Study Group
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Connect with other learners to discuss course concepts and share ideas
Browse courses on
Generative AI
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-
Find a study group or create your own
-
Meet regularly to discuss the course material
-
Work together on projects and assignments
Seven other activities
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Review the basics of Python programming
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Review the basics of Python programming to ensure a solid foundation for the course.
Browse courses on
Python Programming
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-
Go over basic Python syntax and data types.
-
Practice writing simple Python programs.
Follow Tutorials on Large Language Models (LLMs)
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Enhance your understanding of LLMs and their capabilities
Browse courses on
Generative AI
Show steps
-
Search for tutorials on LLMs from credible sources
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Follow the tutorials step-by-step
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Replicate the examples provided in the tutorials
Practice Using Generative AI Libraries
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Gain proficiency in using the libraries covered in the course
Browse courses on
Generative AI
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-
Install the required libraries
-
Complete the practice exercises provided in the course materials
-
Experiment with different library functions and parameters
Create a chatbot using a generative AI model
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Create a chatbot using a generative AI model to gain hands-on experience in applying AI techniques.
Browse courses on
Generative AI
Show steps
-
Choose a generative AI model and set up the necessary infrastructure.
-
Train the model on a relevant dataset.
-
Design and implement the chatbot interface.
-
Test and evaluate the chatbot's performance.
Build a Generative AI Chatbot
Show steps
Apply your skills to create a practical application of generative AI
Browse courses on
Generative AI
Show steps
-
Design the chatbot's functionality and user interface
-
Choose a generative AI model and integrate it into your chatbot
-
Train the chatbot on a relevant dataset
-
Test and refine the chatbot's performance
Create a Generative AI Application
Show steps
Apply your learned skills to build a real-world AI application
Browse courses on
Generative AI
Show steps
-
Choose a project idea
-
Design the application architecture
-
Implement the application using Python and generative AI models
-
Deploy the application to a cloud platform or host it on your own server
Contribute to Open Source Generative AI Projects
Show steps
Gain practical experience and contribute to the field of generative AI
Browse courses on
Generative AI
Show steps
-
Find open-source generative AI projects on platforms like GitHub or GitLab
-
Review the project documentation and codebase
-
Identify ways you can contribute, such as fixing bugs, adding features, or improving documentation
-
Submit your contributions to the project
Review 'Deep Learning with Python'
Show steps
Review the core concepts of deep learning before the course begins
View
Deep Learning with Python, Second Edition
on Amazon
Show steps
- Read through the first two chapters
- Complete the first three exercises
- Summarize the key concepts in your own words
Review Python
Show steps
Refresh your foundational knowledge of Python to ensure you're prepared for this course.
Browse courses on
Python
Show steps
- Review Python fundamentals (variables, data types, control flow)
- Practice writing simple Python scripts
Join a Study Group
Show steps
Connect with other learners to discuss course concepts and share ideas
Browse courses on
Generative AI
Show steps
- Find a study group or create your own
- Meet regularly to discuss the course material
- Work together on projects and assignments
Review the basics of Python programming
Show steps
Review the basics of Python programming to ensure a solid foundation for the course.
Browse courses on
Python Programming
Show steps
- Go over basic Python syntax and data types.
- Practice writing simple Python programs.
Follow Tutorials on Large Language Models (LLMs)
Show steps
Enhance your understanding of LLMs and their capabilities
Browse courses on
Generative AI
Show steps
- Search for tutorials on LLMs from credible sources
- Follow the tutorials step-by-step
- Replicate the examples provided in the tutorials
Practice Using Generative AI Libraries
Show steps
Gain proficiency in using the libraries covered in the course
Browse courses on
Generative AI
Show steps
- Install the required libraries
- Complete the practice exercises provided in the course materials
- Experiment with different library functions and parameters
Create a chatbot using a generative AI model
Show steps
Create a chatbot using a generative AI model to gain hands-on experience in applying AI techniques.
Browse courses on
Generative AI
Show steps
- Choose a generative AI model and set up the necessary infrastructure.
- Train the model on a relevant dataset.
- Design and implement the chatbot interface.
- Test and evaluate the chatbot's performance.
Build a Generative AI Chatbot
Show steps
Apply your skills to create a practical application of generative AI
Browse courses on
Generative AI
Show steps
- Design the chatbot's functionality and user interface
- Choose a generative AI model and integrate it into your chatbot
- Train the chatbot on a relevant dataset
- Test and refine the chatbot's performance
Create a Generative AI Application
Show steps
Apply your learned skills to build a real-world AI application
Browse courses on
Generative AI
Show steps
- Choose a project idea
- Design the application architecture
- Implement the application using Python and generative AI models
- Deploy the application to a cloud platform or host it on your own server
Contribute to Open Source Generative AI Projects
Show steps
Gain practical experience and contribute to the field of generative AI
Browse courses on
Generative AI
Show steps
- Find open-source generative AI projects on platforms like GitHub or GitLab
- Review the project documentation and codebase
- Identify ways you can contribute, such as fixing bugs, adding features, or improving documentation
- Submit your contributions to the project
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