Video Learning Path Overview
A Learning Path is a specially tailored course that brings together two or more different topics that lead you to achieve an end goal. Much thought goes into the selection of the assets for a Learning Path, and this is done through a complete understanding of the requirements to achieve a goal.
AI is revolutionizing the way we live, work and communicate. Deep learning is the next big thing and a subset of machine learning. Deep learning is a powerful set of techniques for finding accurate information from raw data. With deep learning going mainstream, making sense of data and getting accurate results using deep networks is possible. Python is a popular programming language for AI and deep learning. It has become a popular choice of tool for performing fast, efficient, and accurate deep learning.
This well thought out Learning Path takes practical, step by step approach with the help of real-world examples to prepare and equip you with the in-demand skills required to become a successful AI practitioner and start a career in the growing field of deep learning. Beginning with an introduction to Artificial Intelligence, you will explore NLP and build a facial recognition system. You will then deep dive into the use of neural networks, deep learning, and learn to build and train your own neural networks and deep learning models.
Once you are comfortable in using Python for deep learning, you will delve into neural networks and will understand and implement Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs). You will also be taken through the basics of machine learning.
Towards the end of this course, you will be confident enough to build your own AI and deep learning models using Python.
•Hands-on examples to simplify your first steps into the world of Artificial Intelligence with Python
•Develop an intuitive understanding of deep learning
•Gain the ability to build truly impressive and immersive intelligent applications with Python
•Mark Strefford is a technologist focusing on delivering value through customer-focused ML, AI, and digital technologies. He has a strong track record in designing, developing and deploying customer-facing enterprise-grade services and platforms. He excels in leading teams that build these systems, working with senior and board-level stakeholders to deliver the business vision.He is a serious techie who also works closely with senior management and board-level stakeholders, acting as an intermediary between business visionaries, technical teams, and external vendors. He has led multiple successful digital/technical transformations in the private and public sectors, and with international delivery teams across Europe, India, and the USA. He has an innovative approach to technology delivery, looking at upcoming technology trends to determine their suitability for business needs.
•Colibri Digital is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years, they have worked with some of the world’s largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the World’s most popular soft drinks companies, helping each of them to make better sense of its data, and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.
•Rudy Lai is the founder of QuantCopy, a sales acceleration startup using AI to write sales emails to prospects. By taking in leads from your pipelines, QuantCopy researches them online and generates sales emails from that data. It also has a suite of email automation tools to schedule, send, and track email performance—key analytics that all feed back into how our AI generated content. Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy, where he experienced first-hand the frustrations of outbound sales and prospecting. As a founding partner, he helped startups and enterprises with High Dimension, IO’s Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye.