Developing Generative AI Applications with Python
Explore Python-based generative AI creation, focusing on developing smart conversational systems and apps utilizing language models with modern RAG frameworks.
Explore Python-based generative AI creation, focusing on developing smart conversational systems and apps utilizing language models with modern RAG frameworks.
This comprehensive course equips you with practical skills in generative AI application development. Through hands-on projects, you'll learn to create intelligent chatbots and applications using cutting-edge technologies like GPT-3 and Llama 2. The curriculum covers integration of large language models, RAG technology implementation, and development of voice-enabled applications using IBM Watson Speech Libraries. You'll gain experience with Python frameworks including Flask, Gradio, and Langchain while working on real-world projects like image captioning, meeting assistants, and multilingual applications.
4.6
(5 ratings)
Instructors:
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What you'll learn
Build production-ready generative AI applications using Python and modern frameworks
Integrate large language models like GPT-3 and Llama 2 into custom applications
Implement RAG technology to enhance AI model capabilities
Develop voice-enabled chatbots using IBM Watson Speech Libraries
Create web applications that interact with generative AI models
Deploy AI-powered solutions for real-world business scenarios
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 6 modules in this course
This course provides comprehensive training in generative AI application development using Python. Students learn to work with various AI frameworks and technologies to build practical applications. The curriculum covers integration of large language models, implementation of RAG technology, and development of voice-enabled applications. Through guided projects, participants gain hands-on experience creating image captioning systems, ChatGPT-like websites, voice assistants, and AI-powered meeting assistants. The course emphasizes practical skills and industry-relevant technologies, preparing students for roles in AI development.
Image Captioning with Generative AI
Module 1
Create Your Own ChatGPT-Like Website
Module 2
Create a Voice Assistant
Module 3
Generative AI-Powered Meeting Assistant
Module 4
Summarize Your Private Data with Generative AI
Module 5
Babel Fish with LLM and STT TTS
Module 6
Fee Structure
Instructor
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Testimonials
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4.6 course rating
5 ratings
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