Professional Certificate in Machine Learning Applications

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Overview

Learning outcomes

Course content

Introduction to Machine Learning

Supervised Learning Techniques

Unsupervised Learning Methods

Deep Learning Fundamentals

Machine Learning in Practice

Introduction to Machine Learning

Data Preprocessing and Exploration

Supervised Learning Techniques

Unsupervised Learning Techniques

Model Evaluation and Selection

Deep Learning Fundamentals

Natural Language Processing

Computer Vision Applications

Machine Learning in Industry

Ethics and Governance in AI

Data Cleaning and Preprocessing

Supervised Learning Algorithms

Unsupervised Learning Techniques

Deep Learning Models

Model Evaluation and Validation

Feature Engineering

Dimensionality Reduction

Natural Language Processing

Time Series Analysis

Reinforcement Learning

Introduction to Machine Learning

Data Preprocessing and Feature Engineering

Supervised Learning Algorithms

Unsupervised Learning Algorithms

Deep Learning and Neural Networks

Natural Language Processing

Computer Vision

Reinforcement Learning

Model Evaluation and Selection

Machine Learning Applications in Business

Duration

The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months

Course fee

The fee for the programme is as follows:
Fast track - 1 month: GBP £140
Standard mode - 2 months: GBP £90

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Career Path

Key facts

Why this course

Frequently asked questions

The Professional Certificate in Machine Learning Applications equips learners with practical skills to implement machine learning solutions across various industries.

Showcase your achievement with a professional certificate upon successful course completion.

Professional Certificate in Machine Learning Applications

Overview

Learning outcomes

Course content

Introduction to Machine Learning

Supervised Learning Techniques

Unsupervised Learning Methods

Deep Learning Fundamentals

Machine Learning in Practice

Introduction to Machine Learning

Data Preprocessing and Exploration

Supervised Learning Techniques

Unsupervised Learning Techniques

Model Evaluation and Selection

Deep Learning Fundamentals

Natural Language Processing

Computer Vision Applications

Machine Learning in Industry

Ethics and Governance in AI

Data Cleaning and Preprocessing

Supervised Learning Algorithms

Unsupervised Learning Techniques

Deep Learning Models

Model Evaluation and Validation

Feature Engineering

Dimensionality Reduction

Natural Language Processing

Time Series Analysis

Reinforcement Learning

Introduction to Machine Learning

Data Preprocessing and Feature Engineering

Supervised Learning Algorithms

Unsupervised Learning Algorithms

Deep Learning and Neural Networks

Natural Language Processing

Computer Vision

Reinforcement Learning

Model Evaluation and Selection

Machine Learning Applications in Business

Duration

Course fee

Career Path

Key facts

Why this course

Frequently asked questions

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Earn a Certificate

Skills gained