Deep Learning with Python

Course details

OVERVIEW: Deep Learning is the most interesting and powerful Machine Learning technique used in diverse areas like Robotics, AI, and Natural Language Processing. This Deep Learning with Python training course focuses on understanding and building models based on neural networks using Python.

CAREER OPPORTUNITIES:

Market Trends: Researchers and tech giants are using Artificial Intelligence (AI) and Machine Learning (ML) systems to run critical operations, and Python has been extended to meet their needs. According to a report published by the Global Forecast, the Deep Learning market will be worth USD billion by 2023, growing at a CAGR of With the market of ML booming, there are numerous opportunities created for certified Deep Learning professionals.

Salary Trends: AI and Machine Learning jobs are quite lucrative, with the majority paying well over $100,000, while some pay as much as $200,000. The number of postings for Machine/Deep Learning Engineer has increased by 344% with the base salary reaching $146,085. The average base salary of skilled Deep Learning professionals in the UAE is AED 226k annually.

Demand and Opportunities: Being the major code language for AI and ML, the demand for relevant Python-based skills is skyrocketing. The number of Python-related job listings is growing every day; Indeed observed over 38,000 of them in the alone. By 2025, Artificial Intelligence is expected to create 12 million new jobs across 26 countries, according to The Future of Jobs 2020 report, generating more demand for professionals with Deep Learning with Python certification.

COURSE OUTLINE:

Introduction to Deep Learning

• What is a neural network?
• Supervised Learning with Neural Networks – Python
• How Deep Learning is different from Machine Learning

Overview of Machine Learning concepts

• What is Machine Learning?
• Supervised Machine Learning algorithms
• K-Nearest Neighbors (KNN) concept and application
• Naive Bayes concept and application
• Logistic Regression concept and application
• Classification Trees concept and application
• Unsupervised Machine Learning algorithms
• Clustering with K-means concept and application
• Hierarchical Clustering concept and application

Deep Learning Modules

• Restricted Boltzmann Machines
• Deep Belief Nets
• Convolutional Networks
• Recurrent Nets
• Autoencoders

Building Deep Learning Neural Network

• Deep L-layer neural network
• Forward Propagation in a Deep Network
• Building blocks of deep neural networks
• Parameters vs Hyperparameters

Hands-On case study

• Deep Learning Use Cases
• Deep Neural Network – Application

KEY TAKEAWAYS:

Successful completion of our Deep Learning with Python training will enable the candidates to:

• Become familiar with Deep Learning concepts from basic to advanced
• Develop a thorough understanding of the capabilities, challenges, and outcomes of Deep Learning
• Utilize Python to learn the theoretical concepts and applications of Deep Learning
• Develop Deep Learning applications using the Python programming language
• Train and build Deep Neural Networks

ACCREDITATION:

Our Deep Learning with Python course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).

ALUMNI: Our academy graduates are successfully placed in some of the top-notch companies in Dubai like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.

WHY LEARNER’S POINT:

As the premier Deep Learning with Python course providers in Dubai, we are experienced in imparting the relevant skills and knowledge required.
Our Deep Learning with Python course offers the following advantages:

• Our Deep Learning with Python course is designed based on real-world scenarios, formulating and evaluating practical requirements
• Our Deep Learning courses strive to provide a reality check and insight into the requirements of a challenging role and how to fulfill it
• We also provide live interactive sessions and hands-on experience through assignments associated with the actual work environment
• To enhance the learning experience of our students we provide organized group sessions and integrated training modules
• Our discrete approach to career guidance enables our students to get successfully placed in renowned organizations

Updated on 22 August, 2024