Description for Developing Gen AI Applications with Python
Job-Ready Generative AI Skills: Within six weeks, acquire job-ready generative AI application development skills that are backed by hands-on experience and an industry-recognized credential.
Utilizing Retrieval-Augmented Generation (RAG) Technology: Discover the process of integrating and enhancing large language models (LLMs) to develop intelligent chatbots and applications.
Application Development with Python: Create web applications that interact with generative AI models by utilizing Python libraries such as Gradio and Flask.
Frameworks for AI Applications: Develop and design AI-powered applications and chatbots by acquiring proficiency in a variety of AI technologies and frameworks.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by IBM
Duration: 1�2 hours per week approx 6 weeks
Schedule: Flexible
Pricing for Developing Gen AI Applications with Python
Use Cases for Developing Gen AI Applications with Python
FAQs for Developing Gen AI Applications with Python
Reviews for Developing Gen AI Applications with Python
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Developing Gen AI Applications with Python
Explore the use of generative AI tools to enhance data preparation, querying, and machine learning model development in data science workflows through hands-on projects.
Enhance your software development career with Gen AI. Develop hands-on, in-demand Generative AI skills to elevate your software engineering game in one month or less.
Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.
Develop generative AI capabilities for data analytics. Learn about generative AI to advance your career as a data analyst! No prior experience is required.
Comprehend generative AI basics, practical applications, ethical implications, and potential impacts on student learning in education.
Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.
Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.
This course will provide you with an understanding of the technical underpinnings and essential terminology associated with generative artificial intelligence (AI).
Delve into the historical evolution of Generative AI and AI, exploring diverse models and their applications in business contexts for optimized decision-making and innovation.
Begin your vocation in generative AI data engineering. Obtain the necessary skills to secure a position as a data engineer by acquiring an understanding of generative AI. No prior experience is required.
Featured Tools
This coursework provides an extensive introduction to Python programming, data manipulation techniques, and fundamental development tools necessary for proficient coding practices.
Learn about various generative AI models and architectures, the application of LLMs in language processing, and implement NLP preprocessing techniques using libraries and PyTorch.
Learn to understand and implement Deep Neural Networks, Residual Nets, and Convolutional Neural Networks (CNNs) using Keras with TensorFlow 2.0, and evaluate their performance and generalization.
Outlines methods to determine main products, develop streaming pipelines, explore alternatives, and define essential steps for machine learning workflows on Google Cloud.
The course introduces fundamental Python programming and problem-solving, covering the Python ecosystem, object-oriented concepts, error resolution, and unit testing, designed for aspiring database engineers or back-end developers with basic internet skills.