Description for Beginners Guide to ChatGPT: AI for Market Research
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by Coursera Project Network
Duration: 45 mins
Schedule: Project- based
Pricing for Beginners Guide to ChatGPT: AI for Market Research
Use Cases for Beginners Guide to ChatGPT: AI for Market Research
FAQs for Beginners Guide to ChatGPT: AI for Market Research
Reviews for Beginners Guide to ChatGPT: AI for Market Research
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Beginners Guide to ChatGPT: AI for Market Research
Relationchips is an AI data agent that automates dashboards and actions, incorporates tools, and queries data in natural language, all without the need for SQL.
Chat2Report facilitates the conversational AI-driven analysis of over a decade of SEC financial reports for US-listed companies.
Telemo utilizes proprietary generative AI technology that is supported by Microsoft and Nvidia to enhance the customer experience for businesses.
EquityResearch.ai offers AI-driven stock analysis and business insights, facilitating investment evaluation through impartial, data-centric reports.
NeoBase is an AI-powered assistant that facilitates natural language interaction, optimization, and administration across multiple databases with complete self-hosting capabilities.
The training program incorporates fundamental techniques, tools, and methodologies for formulating effective prompts aimed at enhancing the performance of large language models.
Gain an extensive understanding of the strategies for optimizing chatbot applications, integration with NLP/ML, and advanced ChatGPT prompting.
Acquire actionable insights to effectively formulate and execute AI strategies within your organization.
This specific course emphasizes the integration of machine learning and AI with big data administration, utilizing Google Cloud services.
By providing learners with a practical guide to navigating the ethical complexities of AI and Data Science, this course empowers them to develop responsible and sustainable AI solutions.
Featured Tools
Acquire practical expertise in the integration of machine learning models into pipelines, optimizing performance, and efficiently managing versioning and artifacts.
A practical guide to the use of generative AI for the purpose of composing, refining, and planning, utilizing structured and context-driven inputs.
An extensive study of the applications of AI in marketing, ranging from competitive analysis to content optimization and conversion enhancement.
This course covers Python programming, TensorFlow for linear regression, and app development for stock market prediction.
To enhance machine learning models, this course offers fundamental understanding of artificial intelligence, machine learning methods like classification, regression, and clustering.