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
Modern robotics' most critical concepts. A comprehensive examination of the kinematics, dynamics, motion planning, and control of mobile robots and robot limbs.
Leverage Python programming skills to develop and analyze comprehensive clustering procedures, thereby mastering the fundamental concepts and operations of data clustering, with a particular emphasis on the K-means algorithm.
Learners will acquire sophisticated abilities in the identification and mitigation of vulnerabilities in AI, LLM, and ML systems.
Develop advanced AI techniques, including prompt engineering and chatbot development, as well as master large language models and their implementation on Google Cloud.
Empowers learners with practical knowledge of AI strategies and tools to promote innovation and efficacy in business and beyond.