Description for Project Planning & ML
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by University of Colorado Boulder
Duration: 17 hours (approximately)
Schedule: Flexible
Pricing for Project Planning & ML
Use Cases for Project Planning & ML
FAQs for Project Planning & ML
Reviews for Project Planning & ML
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Project Planning & ML
The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.
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 leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.
Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.
Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.
The "Introduction to Vertex AI" course provides a four-hour, practical, and fundamental overview of Vertex AI, ideal for professionals and enthusiasts aiming to leverage AI effectively.
Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.
Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.
Featured Tools
Exploration of ethical dilemmas in Fraud Detection and email spam classification models, alongside Generative AI collaboration.
Advance your career by acquiring in-demand skills such as IT automation, Git, and Python.
Learn to apply image processing, analysis methods, and supervised learning techniques using Python, Pillow, and OpenCV to address computer vision issues across various industries.
Modern and Practical Statistical Thinking for All. Utilize Python for statistical visualization, inference, and modeling.
Explore LLM potential, address limitations, devise business strategies, and stay updated on LLM trends for effective implementation in business operations.