Product Image

Neural Networks 1

Self-Paced Learning
26 Hours
Beginner

This Course will cover basic neural network architectures and learning algorithms, for applications in pattern recognition, image processing, and computer vision.

$ 0.00
Self-Paced

Course overview

About this Course:

AI is revolutionizing the way we live, work and communicate. At the heart of AI is Deep Learning. Once a domain of researchers and PhDs only, Deep Learning has now gone mainstream thanks to its practical applications and availability in terms of consumable technology and affordable hardware.

The demand for Data Scientists and Deep Learning professionals is booming, far exceeding the supply of personnel skilled in this field. The industry is clearly embracing AI, embedding it within its fabric. The demand for Deep Learning skills by employers -- and the job salaries of Deep Learning practitioners -- are only bound to increase over time, as AI becomes more pervasive in society. Deep Learning is a future-proof career.

Within this series of courses, you’ll be introduced to concepts and applications in Deep Learning, including various kinds of Neural Networks for supervised and unsupervised learning. You’ll then delve deeper and apply Deep Learning by building models and algorithms using libraries like Keras, PyTorch, and Tensorflow. You’ll also master Deep Learning at scale by leveraging GPU accelerated hardware for image and video processing, as well as object recognition in Computer Vision.

Throughout this program you will practice your Deep Learning skills through a series of hands-on labs, assignments, and projects inspired by real world problems and data sets from the industry. You’ll also complete the program by preparing a Deep Learning capstone project that will showcase your applied skills to prospective employers.

This program is intended to prepare learners and equip them with skills required to become successful AI practitioners and start a career in applied Deep Learning.

Course Objectives:

  • Fundamental concepts of Deep Learning, including various Neural Networks for supervised and unsupervised learning.
  • Build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.
  • Application of Deep Learning to real-world scenarios such as object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.
  • Master Deep Learning at scale with accelerated hardware and GPUs.
  • Use of popular Deep Learning libraries such as Keras, PyTorch, and Tensorflow applied to industry problems.

Outline

Money Back Guarantee

26 Hours
Beginner
Self-Paced Learning

tab
About Individual Course:
  • Individual course plan gives you access to this course
$ 0.00
/ Each
When you subscribe, you get:
cloud-free-products Subscription plan gives you access to this course and over 135 other popular courses
$ 1,695.00
/ Year

You have already taken demo for this course.

If you want to get access to demo again, feel free to contact our support at (855) 800-8240

This Course will cover basic neural network architectures and learning algorithms, for applications in pattern recognition, image processing, and computer vision.

Public Schedule

Reviews

No reviews yet. Be the first!

Only registered users can write reviews. Please Sign in or create an account

Why Cloud Institute

Flexible Training

We help teams become project-ready by tailoring training and instruction to align to your business goals and requirements.

Hands-On Practice

Shorten the learning curve. Validate your skills in Challenge Labs featuring real scenarios in risk-free environments.

Personalized Coaching

We make sure classroom training transfers to the workplace with post-training coaching from cloud practitioners.

Meet some of our Coaches

Bekim Dauti

Microsoft Certified Trainer

Bekim Dauti works in the administration of servers and computer networks and training in Cisco, CompTIA, and Microsoft. He has a bachelor's degree from the University of Tirana and a master's degree from UMGC Europe, both in IT.

Sudhanshu Pandey

Software Engineer

Sudhanshu is Redhat Certified and a Computer Science graduate. He has worked on multiple technologies including Devops, ML, Python, Redhat Linux, MySQL, MongoDB, Cloud Computing, web development and mobile app development. He is currently working as an ML engineer for a startup and as a trainer on a content delivery team for Linuxworld.

Zaki Medina

CTO in Healthcare

Zaki has many years of experience in the Telecom, Utility and Healthcare industries leading data science, analytics and technical teams with an advanced understanding of data engineering, data science, ML-Ops and Responsible AI technologies and the appropriate application of these technologies to solve problems at a massive scale.

William Clark

CompTIA Instructor and Consultant

William Clark is the founder and CEO of Clark Technology Group. For 30 years he has worked in networking and cybersecurity in retail, health care, government, military and manufacturing sectors.​

Khalil Demeri​

Cloud Solutions Architect

Khaleel has many years of experience in servers administration on Linux and Windows platforms, managing 4000+ servers running different flavors of Linux and web hosting control panels. He helps the team to deal with Windows (MCSE) and Linux Server related issues and services administration. Install, configure and integrate system/solution/OS at site and remotely.

Saurabh Khan​

Cloud Coach

Saurabh is an enthusiastic instructor and accomplished Cloud Engineer. With a solid background in architecting cloud solutions and hands-on experience in configuring and deploying applications on leading cloud platforms like Azure, GCP, and AWS, Saurabh possesses a wealth of knowledge to share with learners.

John Morah

Azure Architect

John is an experienced instructor and highly skilled Cloud Architect who brings a wealth of technical expertise to the table. With a career that began in January 2001, John has been fixing computers and providing technical training and support on Microsoft and Google technologies for over two decades.

Uchechukwu Cos-Ibe

GCP Cloud Engineer

Uchechukwu Cos-Ibe is a highly skilled and GCP-certified Cloud Engineer with a strong background in deploying and managing cloud infrastructure. With expertise in automating cloud deployments using Terraform and implementing CI/CD pipelines. Uchechukwu's experience as a Database Administrator and Data Science professional further enhances their ability to provide valuable insights and optimize cloud solutions.

Dickson Victor

Devops Engineer

Dickson is a DevOps Engineer with multi-cloud certifications and experience working with AWS, Google cloud and Microsoft Azure. He is an AWS community builder, Microsoft Certified trainer, AWS Accredited Instructor and technical writer.

Arjun Sasikumar

Cloud Architect

Arjun has 10+ years of IT experience. Currently working as a Google Cloud Consultant in a Multi-National Company. He is holding certifications in Google Cloud Digital Leader , Google Cloud Associate Cloud Engineer and Google Cloud Professional Cloud Architect.

Neeraj Kumar

Cloud Architect Trainer​

Neeraj is passionate about teaching and learning, always striving to be 1% better every day. He loves impacting the lives of students and helping organizations meet their cloud goals. ​ Neeraj has deep experience working with global clients on 45+ projects with 7/7 CSAT scores on various projects. He has attained certifications from GCP, Azure, AWS and Oracle.

Praveen Tej D​

Cloud Coach

Praveen has years of Experience in Cloud Architect, Cloud Trainer, Lead Coach ,AWS, Azure, GCP ,Devops , Cloud Engineer, Data Engineer.​ He believes in continuous learning and creativity, providing exposure to new ideas that stimulates professional and personal growth.​

Abhimanyu Singh Panwar

Devops Coach

Experienced DevOps Engineer in Software development industry with primary focus on Build, Release and software configuration management with a good hands-on knowledge of Source Code.He has a working knowledge of multi cloud service providers, like AWS, Azure, GCP, etc.

Godfrey Chatira

Azure Solutions Architect

An experienced Azure Solutions Architect, with a proven track record of designing and implementing complex cloud solutions on the Microsoft Azure platform. With expertise in cloud architecture, infrastructure, security, and governance, I help organizations to maximize their investments in cloud by providing tailored solutions that align with business goals and technical requirements.

Franklin Okedo

Cloud Solutions Architect

Cloud Solutions Architect/ SharePoint Developer with over 8+ years of successful experience in Cloud Infrastructure Architecting and Security Administration. Recognized consistently for performance excellence and contributions to success in the IT industry.

click here