Vision Intelligence and ML
Develop your skills in image processing, augmented reality, and object recognition to prepare yourself to create cutting-edge AI-powered visual apps.
Description for Vision Intelligence and ML
Image filtering and tracking: Understand the fundamentals of image filtering and tracking, with practical applications in face detection, mosaicking, and stabilization.
Geometric Transformations: Comprehend the techniques for utilizing geometric transformations to ascertain 3D poses from 2D images, which are utilized in robot localization and augmented reality tasks.
Object Recognition: Develop an understanding of object recognition through the use of visual learning techniques and neural networks for classification.
Visual Odometry and Augmented Reality: Utilize techniques for visual odometry and augmented reality, which are imperative for the localization of robots and the creation of immersive experiences.
Level: Advanced
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On edX provided by PennX
Duration: 8�10 hours per week approx 12 weeks
Schedule: Flexible
Pricing for Vision Intelligence and ML
Use Cases for Vision Intelligence and ML
FAQs for Vision Intelligence and ML
Reviews for Vision Intelligence and ML
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Vision Intelligence and 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.
Use AI skills to advance your engineering career. Acquire practical knowledge regarding deep learning methodologies for computer vision.
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.
Featured Tools
Understand foundational knowledge of AI and RegTech, their societal implications, and the discourse around their future integration and obstacles.
Learn Python, analyze and visualize data, and apply your skills to data science and machine learning with a practical assignment to acquire hands-on skills for a career in data science.
The course delves into the fundamental models and concepts of generative AI, as well as foundation models, pre-trained models for AI applications, and a variety of generative AI platforms, including IBM Watson and Hugging Face.
The course investigates the integration of AI with medical practice, science, and commerce, as well as the ways in which machine learning addresses healthcare challenges and impacts patient care quality and safety.
Begin to explore NLP. Learn the latest NLP techniques through four practical courses! Last updated in October 2021 to incorporate the most recent methodologies.