Hi, 
Developing Generative AI Applications using Python
Loading...
Course
Developing Generative AI Applications using Python
Build in-demand skills in generative AI application development and get hands-on experience creating intelligent chatbots and apps using popular LLMs, RAG technology, and IBM watsonx.
Flexible Schedule
Intermediate Level
Mentor Support
Estimated Time
This course provides an opportunity to work on guided projects that provide step-by-step instructions to build generative AI-powered applications. You'll utilize Python, along with related libraries like Flask and Gradio, and frameworks such as Langchain.
In the course, you will work on hands-on projects to build chatbots and apps by utilizing popular large language models (LLMs) such as GPT-3 and Llama 2, hosted on platforms such as IBM watsonx and Hugging Face. Additionally, you'll explore retrieval-augmented generation (RAG) technology, enhancing LLMs by incorporating external information beyond their training data. This course also equips you to build voice-enabled chatbots and apps using IBM Watson Speech Libraries for Embed.
To develop these projects, you'll be using Python, making it essential to have a basic understanding of the language. While knowing some HTML, CSS, and JavaScript can be beneficial, it's not a requirement. The course includes supporting videos and readings to build a foundational understanding of models, frameworks, and technologies used in the projects.
This course comprises six purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 13 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
You will be able to:
- Build and deploy AI-powered voice assistant applications.
- Design and implement conversational chatbots for real-world use cases.
- Write efficient Python code to power AI-driven conversational systems.
Designed for students, developers, and professionals with basic Python skills who want hands-on experience building generative AI-powered apps and chatbots.
This course is suitable for individuals with basic knowledge of Python and generative AI and an interest in developing AI-powered apps and chatbots.
Course Outline
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
Generative AI with Python focuses on building AI models that can create content, respond intelligently, and generate actionable insights. It is crucial for developers looking to build AI-powered chatbots, apps, and other innovative solutions.
It provides hands-on projects to create intelligent applications using Python, LLMs, RAG technology, and IBM watsonx, giving practical exposure to real-world AI problems.
You will learn Python for Generative AI, integrating LLMs, RAG-based knowledge retrieval, building web apps with Flask and Gradio, and deploying AI solutions.
Yes, the training covers similar projects that include step-by-step guidance to create functional AI applications using Python and frameworks like Flask and Gradio.
Aspiring AI developers, Python programmers, and professionals interested in building Generative AI-powered applications and chatbots will benefit the most.
Basic Python knowledge is recommended, while familiarity with LLMs, HTML, CSS, and JavaScript are helpful but not mandatory. Prior exposure to Generative AI concepts will be advantageous.
Yes, the course includes hands-on labs to create chatbots, voice assistants, meeting assistants, and data summarization apps.
RAG technology allows integration of external knowledge with LLMs, improving model accuracy and enabling applications that use private or domain-specific data.
Python, Flask, Gradio, LangChain, IBM watsonx, GPT-3, Llama 2, and other frameworks are leveraged for practical application development.
Yes, learners receive an IBM Certificate demonstrating their proficiency in generative AI with Python and the ability to develop real-world AI applications.
Type of certificate
IBM Certificate
About this course
06 Modules
03 Skills
Includes
Discussion space
08 Hands-on labs
06 Graded quizzes
Create
Simple Chatbot
Voice Assistant
Exercises to explore
Integrating Your Chatbot into a Web Application
Business AI Meeting Companion
Babel Fish (Language Translator) with LLM, STT, & TTS
This course has been created by
Newsletters & Updates
Subscribe to get the latest tech career trends, guidance, and tips in your inbox.