AI in Efficient Programming: Harnessing the Power of LLMs
Gain a comprehensive understanding of AI's potential, ethical considerations, and applications in efficient programming and common coding tasks using various LLMs.
Description for AI in Efficient Programming: Harnessing the Power of LLMs
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by Fred Hutchinson Cancer Center
Duration: 3 weeks at 4 hour a week
Schedule: Flexible
Pricing for AI in Efficient Programming: Harnessing the Power of LLMs
Use Cases for AI in Efficient Programming: Harnessing the Power of LLMs
FAQs for AI in Efficient Programming: Harnessing the Power of LLMs
Reviews for AI in Efficient Programming: Harnessing the Power of LLMs
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for AI in Efficient Programming: Harnessing the Power of LLMs
NovaceneAI streamlines the organization of unstructured text data with AI algorithms, offering dedicated cloud hosting, adaptability across sectors, and robust data privacy measures.
Posit offers a comprehensive platform with enterprise solutions, cloud applications, community resources, and deployment solutions to enhance productivity in data science teams.
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.
Learn to use generative AI tools to improve data science workflows, enhance datasets, and refine machine learning models through practical projects.
Master Python programming for software development and data science, including core logic, Jupyter Notebooks, libraries like NumPy and Pandas, and web data gathering with Beautiful Soup and APIs.
Understand AI, its applications, concepts, ethical concerns, and receive expert career guidance.
Gain a comprehensive understanding of AI terminology, applications, development, and strategy, while navigating ethical and societal considerations in a non-technical context.
Prepare for a vocation as a data scientist. Acquire hands-on experience and in-demand skills to become job-ready in as little as five months. No prior experience is necessary.
Learn to create and diversify portfolio strategies, apply machine learning to financial data, and utilize quantitative modeling and data analytics for investment decisions.
Featured Tools
A brief synopsis of this course includes hands-on lab sessions on Python data analysis and visualization, as well as alternative data principles and applications in finance.
Learn to identify suitable applications for machine learning, integrate human-centered design principles for privacy and ethical considerations in AI product development, and lead machine learning projects following data science methodology and industry standards.
Master the CRISP-DM methodology, identify optimal data sources, and select appropriate analytic models with our comprehensive AI course on data science methodology.
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.
Learn to develop a text preprocessing pipeline, understand the theory behind Naive Bayes classifiers, and evaluate their effectiveness after training.