Intro to ML with Python
A comprehensive course on machine learning using Python, covering deep learning, GANs, image processing, various algorithms, and industrial applications, accessible to all skill levels.
Description for Intro to ML with Python
Features of Course
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Arizona State University
Duration: 12 hours (approximately)
Schedule: Flexible
Pricing for Intro to ML with Python
Use Cases for Intro to ML with Python
FAQs for Intro to ML with Python
Reviews for Intro to ML with Python
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Intro to ML with Python
Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.
Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.
Learn to use the latest LLM APIs, the LangChain Expression Language (LCEL), and develop a conversational agent.
This course covers the development, impact, and future of Generative AI through lectures, critical AI technologies, and interactive assessments.
Master coding basics and create a Hangman game using generative AI tools like Google Bard in a beginner-friendly, 1.5-hour guided project.
Learn about AI principles and platforms like IBM Watson and Hugging Face, integrate RAG technology for chatbot intelligence, create web apps using Python libraries, and develop interfaces with generative AI models and Python frameworks.
Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.
Gain a comprehensive understanding of AI's potential, ethical considerations, and applications in efficient programming and common coding tasks using various LLMs.
Gain expertise in deploying and managing LLMs on Azure, optimizing interactions with Semantic Kernel, and applying Retrieval Augmented Generation (RAG) techniques.
Gain expertise in deploying and managing LLMs on Azure, optimizing interactions with Semantic Kernel, and applying Retrieval Augmented Generation (RAG) techniques.
Featured Tools
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.
Start your Machine Learning career. Prepare for AWS Certified Machine Learning Specialty Certification by learning AWS ML basics.
Law's Generative AI Advantage. Utilize Generative AI to revolutionize legal research and practice.
Explore the use of generative AI tools to enhance data preparation, querying, and machine learning model development in data science workflows through hands-on projects.
This course teaches how to analyze, leverage, and investigate data using machine learning methodologies, providing tools and algorithms to develop and scale models for big data challenges.