Description for Gen AI GPT Vision
Features of the Course:
- Utilize generative AI tools, such as GPT 3.5, ChatCSV, and tomat.ai, that are accessible to data scientists for the purpose of data preparation and querying.
- Analyze real-world scenarios in which generative AI can improve data science workflows.
- Practicing generative AI skills in hands-on laboratories and projects involves the generation and enhancement of datasets for specific use cases.
- Incorporate generative AI techniques into the development and refinement of machine learning models.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by Vanderbilt University
Duration: 3 hours (approximately)
Schedule: Flexible
Pricing for Gen AI GPT Vision
Use Cases for Gen AI GPT Vision
FAQs for Gen AI GPT Vision
Reviews for Gen AI GPT Vision
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Gen AI GPT Vision
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.
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.
Explore the evolution and business implications of generative AI, emphasizing data significance, governance, transparency, and practical applications in modernization and customer service in this course.
Improve your cybersecurity career by incorporating AI. In three months or less, acquire the necessary credentials for your cybersecurity profession and develop in-demand generative AI skills. There is no prerequisite for a degree or prior experience.
Featured Tools
Learn to write efficient queries, perform correlations, create visualizations, and leverage sub-searches and lookups to become a Search Expert.
Learn to develop a text processing pipeline and understand LSTM and Recurrent Neural Networks to train and assess deep learning models.
Integrate AI-assisted code into a Python project, optimize and debug with AI, and create detailed documentation using ChatGPT.
Learn to perform inferential statistical analysis, assess and improve data visualizations, integrate machine learning into data analysis, and analyze social network connectivity.
Begin Your Career in Trading with Machine Learning. Familiarize yourself with the machine learning methodologies employed in quantitative trading.