Deep Learning Course

The Deep Learning Course provides learners with a comprehensive understanding of deep learning principles, algorithms, and applications. It equips professionals with the skills to develop, train, and deploy deep learning models, enabling advanced AI-driven solutions across various industries.

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Online self paced
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Online Video-Based Learning
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Overview

The Deep Learning Course is designed for professionals seeking to gain expertise in deep learning techniques and their practical applications. This course builds on foundational AI and machine learning concepts, equipping learners with advanced tools and frameworks to develop deep learning solutions.

Deep learning is transforming industries by enabling applications such as image recognition, natural language processing, and predictive analytics. This course covers essential topics including neural networks, deep learning architectures, and optimisation techniques, empowering learners to build and implement state-of-the-art AI models.

This intensive 1-day training offered by MPES includes expert-led sessions, hands-on exercises, and real-world case studies. Learners will gain practical experience in designing, training, and deploying deep learning models using popular frameworks like TensorFlow and PyTorch. Upon completion, learners will be equipped with the skills to tackle complex AI challenges and drive innovation in their fields.

Course Objectives

Understand the principles and applications of deep learning
Develop skills in building and training neural networks
Learn to implement advanced deep learning architectures
Gain expertise in model optimisation and evaluation techniques
Apply deep learning frameworks to real-world projects

Upon completion, learners will possess the knowledge and skills to design and deploy deep learning solutions effectively, advancing their careers in AI and machine learning.

Average completion time

1 Month

with unlimited support

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Course Includes

Course Details

Develop your understanding of essential financial, business and management accounting techniques with ACCA Applied Knowledge. You'll learn basic business and management principles and the skills required of an accountant working in business.

Entry Requirements

Educational Background: A strong foundation in mathematics and programming is recommended. Knowledge of machine learning or AI concepts is beneficial.
Technical Proficiency: Familiarity with Python and data science tools will enhance understanding.
Interest in AI: Ideal for professionals and learners passionate about developing cutting-edge AI solutions using deep learning techniques.

Learning Outcomes

Master Deep Learning Concepts: Gain a thorough understanding of neural networks and advanced deep learning architectures.
Develop Practical Skills: Learn to design, train, and optimise deep learning models using popular frameworks.
Solve Real-World Problems: Apply deep learning techniques to tasks like image recognition, NLP, and predictive analytics.
Enhance Model Performance: Build expertise in model evaluation, fine-tuning, and deployment strategies.

Target Audience

The Deep Learning Course is ideal for professionals and learners aiming to enhance their expertise in AI and deep learning. Below are the individuals who will benefit from this course:

Data Scientists
Machine Learning Engineers
AI Researchers
Software Developers
Business Analysts
Technology Consultants
Research Scientists

Course content

Module 1: Machine Learning Basics

What is Machine Learning?
Need for Machine Learning
Types of Machine Learning

Module 2: Introduction to Deep Learning

Importance of Deep Learning
How Deep Learning Works?
Difference Between Deep Learning and Machine Learning

Module 3: Artificial Neural Network

Introduction
Characteristics of Artificial Neural Network

Module 4: Deep Neural Networks

Feedforward Networks
Convolutional Neural Networks
Recurrent Neural Networks

Module 5: Linear Algebra

Mathematical Objects
Computational Rules in Linear Algebra
Matrix Multiplication Properties

Module 6: Probability

Terminology
Random Variables
Probability Distributions
Marginal Probability
Conditional Probability
Chain Rule of Conditional Probabilities
Baye’s Rule

Module 7: Auto Encoders

Need of Auto Encoder
Architecture of Auto Encoders
Applications of Auto Encoders

Module 8: Computational Graphs

What are Computational Graphs?

Module 9: Monte Carlo Methods

Introduction
Machine Learning in Monte Carlo Method

Module 10: Deep Generative Models

Introduction
Boltzmann Machines
Functioning of Boltzmann Machines

Module 11: Deep Learning Applications

Applications of Deep Learning

Module 12: Libraries and Frameworks

Libraries
Framework
Features of Deep Learning Framework

MPES Support That Helps You Succeed

At MPES, we offer comprehensive support to help you succeed in your studies. With expert guidance and valuable resources, we help you stay on track throughout your course.

MPES Learning offers dedicated support to help you succeed in Accounting and Finance courses.
Get expert guidance from tutors available online to assist with your studies.
Check your eligibility for exemptions with the relevant professional body before starting.
Our supportive team is here to offer study advice and support throughout your course.
Access a range of materials to help enhance your learning experience. These resources include practice exercises and additional reading to support your progress.

Career Growth Stories

Discover how MPES Learning transforms careers with real success stories.

Aaron Allcote

As a finance officer, MPES has been a huge help in understanding the process of recording and processing transactions from all different perspectives. The courses are very easy to follow, and the training they provide can be applied to real-life scenarios. The courses have been a huge help for me, and I would highly recommend them.

Aaron Allcote

Finance Officer

Bob Beaumont

I completed all of my ACA studies with MPES and I think you would struggle to find a better training provider anywhere in the British Isles. MPES' tutors are excellent both at delivering training and giving individualised feedback and coaching. the supporting materials and the out of class support are also great.

Bob Beaumont

Senior Accountant

Arvy Pasanting

As a qualified accountant, studying with MPES has been very rewarding experience. Its team of passionate and dedicated mentors gave me the confidence and knowledge I needed to not just at excel in my current role as an auditor, but also inspired me to expand my horizons.

Arvy Pasanting

Audit Senior

David Ford

I was recommended MPES after searching for a way to pursue a career in the accounting profession, I have studied with them throughout my journey utilising online learning opportunities that fit around the needs of my employer.

David Ford

Accountant

Aaron Allcote

Aaron Allcote

Finance Officer

Bob Beaumont

Bob Beaumont

Senior Accountant

Arvy Pasanting

Arvy Pasanting

Audit Senior

David Ford

David Ford

Accountant

Have Questions? We’ve Got You

If you have any questions, we’re here to help. Find the answers you need in the MPES detailed FAQ section.

Q. What is the focus of the Deep Learning Course?

This course focuses on equipping learners with the knowledge and skills to build, train, and deploy deep learning models for solving complex AI challenges in various industries.

Q. Do I need prior knowledge of machine learning to take this course?

While prior knowledge of machine learning is beneficial, the course provides a foundational understanding of deep learning, making it accessible to learners with a strong interest in AI and programming.

Q. What practical skills will I gain from this course?

You will learn to design, train, and optimise deep learning models using frameworks like TensorFlow and PyTorch, applying these techniques to real-world tasks like image recognition and natural language processing.

Q. Who should take this course?

This course is ideal for data scientists, machine learning engineers, AI researchers, and anyone looking to advance their expertise in AI and deep learning techniques.

Q. How is the course delivered?

The course includes expert-led sessions, hands-on exercises, and real-world case studies, ensuring a practical and in-depth learning experience in deep learning concepts and applications.

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Resources

Access a wide range of free resources to support your learning journey. From blogs to news and podcasts, these valuable guides are available at no cost to help you succeed.