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Professional Certificate in AI and Machine Learning for Professionals

  • Overview ImageOverview
  • Outline ImageCourse Outline
  • Scheduled ImageScheduled Dates

Course Overview

AI has revolutionised industries across the board, creating a high demand for professionals with artificial intelligence skills. AI provides an exciting career opportunity in data science, machine learning engineering, artificial intelligence research, robotics and many more. Learning AI will equip you with problem-solving techniques to tackle challenging issues in various domains, ranging from healthcare and finance to manufacturing and transportation. By gaining knowledge in AI, you can analyse data effectively, extract valuable patterns and trends and make data-driven decisions that can drive innovation and competitiveness. AI will equip you with the necessary tools to identify opportunities for innovation, develop new products or services and stay ahead of competitors in two days fast-paced, technology-driven world. The AI and Machine Learning for Professionals course is designed to provide professionals with a comprehensive understanding of artificial intelligence (AI) and machine learning (ML) concepts and applications.

The course aims to equip participants with the knowledge and skills necessary to leverage AI and ML technologies in their professional roles and stay ahead in the rapidly evolving digital landscape. Through theoretical lectures, hands-on exercises, and real-world case studies, participants will gain practical insights into the potential of AI and ML and learn how to apply these technologies to solve complex business problems. Artificial intelligence is at the forefront of technological advancement and will continue growing. Suppose you want to future-proof your skills and add up to the evolving job market, ensuring that you remain valuable and competitive in a world where technology increasingly relies on AI. In that case, this course is the right course for you. This course will enable you to understand the technology driven by AI and give you a market insight into how you can take advantage of this innovation.

Objective:

  • This course aims to develop a solid foundation in AI and machine learning. 
  • Provides insight into the diverse applications of AI and machine learning across industries. You will clearly understand the principles and techniques underlying artificial intelligence and machine learning algorithms. 
  • You will learn about biases, fairness, privacy and transparency in AI and the importance of incorporating ethical principles in AI development. 
  • You will gain a competitive sight in the job market as artificial intelligence continues transforming industries and creating demand for professionals with expertise in this field. 
  • Our case studies will help you explore how artificial intelligence and machine learning can be leveraged to solve complex business problems, improve decision making and drive innovation. 
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Course Outline

Day 1 Introduction to AI and Machine Learning 

  • Overview of artificial intelligence and machine learning 
  • Key concepts, terminology, and methodologies 
  • Probability for machine learning 
  • Historical developments and current trends in AI and ML  
  • Statistics for machine learning 
  • Ethical Considerations and societal impact of AI 
  • Supervised, unsupervised, and reinforcement learning. 
  • Nearest neighbour methods 
  • decision tree part 
  • Feature selection and engineering 
  • Evaluation metrics and performance assessment 

Day 2 Data Preprocessing and Data Analysis & Algorithms 

  • Data cleaning, transformation, and normalization 
  • Handling missing data and outliers 
  • Bayesian Optimization 
  • logistic regression 
  • principal component analysis 
  • Exploratory data analysis techniques 
  • Data visualization for insights 
  • Linear regression 
  • Logistic regression 
  • Decision trees and random forests 
  • Support vector machines (SVM) 
  • Naive Bayes classifiers 

Day 3 Deep Learning Fundamentals & Unsupervised Learning Algorithms 

  • K-means clustering 
  • Hierarchical clustering 
  • Principal Component Analysis (PCA) 
  • Association rule learning 
  • Anomaly detection 
  • Neural networks and their architecture 
  • Activation functions and backpropagation 
  • Convolutional Neural Networks (CNN) 
  • Recurrent Neural Networks (RNN) 
  • Transfer learning and fine-tuning 

Day 4 Natural Language Processing (NLP) & Reinforcement Learning 

  • Text preprocessing and tokenization 
  • Word embeddings and word2vec 
  • Sentiment analysis 
  • Named Entity Recognition (NER) 
  • Text generation and language models 
  • Markov decision processes 
  • Q-learning and policy gradients 
  • Exploration-exploitation trade-off 
  • Deep Q-Networks (DQN) 
  • Applications of reinforcement learning 
  • AI Best Practices 

Day 5 Deployment and Ethical Considerations with Real-world Applications & Case Studies 

  • Model deployment and serving 
  • Interpretability and explainability of ML models. 
  • Fairness, bias, and ethical considerations in AI 
  • Privacy and security concerns 
  • Regulatory Frameworks and compliance 
  • Image recognition and computer vision 
  • Fraud detection and anomaly detection 
  • Recommender systems 
  • Natural language processing applications 
  • Autonomous systems and robotics 
  • Future Trends and Emerging Technologies 
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Schedule & Fees

3 For 2Offer

Get the most out of group training with our special discount! Register 3 of your participants together on the same course and only pay for 2.

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Location

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  • Innovation and Artificial Intelligence (AI)

London

$4,900

London

Duration: 20 CPD hours (5Days)

date: 06 - 10 May 2024

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  • Innovation and Artificial Intelligence (AI)

London

$4,900

London

Duration: 20 CPD hours (5Days)

date: 27 - 31 May 2024

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  • Innovation and Artificial Intelligence (AI)

London

$4,900

London

Duration: 20 CPD hours (5Days)

date: 08 - 12 Jul 2024

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  • Innovation and Artificial Intelligence (AI)

London

$4,900

London

Duration: 20 CPD hours (5Days)

date: 18 - 22 Nov 2024

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  • Innovation and Artificial Intelligence (AI)

Professional Certificate in AI and Machine Learning for Professionals

Duration:5 Days (20 CPD hours)

date:06 - 10 May 2024

London

London

$4,900


Register Now

Questions? Speak to our
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Dunya Sayedyusef

Email Imagesales@londontfe.com

Call+44 2071836657

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    We customise our courses to suit your personal learning needs

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    Quality

    Our courses are delivered by highly experienced industry experts

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    Recognition

    All our courses are accredited by the CPD Standards Agency

Frequently Asked Questions

How can training courses be used as a company benefit?

Training is hugely beneficial to both yourself and your company. It enables you to employ new technologies, increases your productivity and enables you to be more autonomous. Have a look here at our infographic on the importance of training and development!

How often do you update your course content to ensure relevancy?

Our course content is constantly reviewed and updated to ensure we stay up to date with all the latest trends. After every course is completed we review the feedback and improve the material where necessary.

Do you keep your classroom environment and instructional methodologies current with today’s real-world workplace?

Yes, we focus our training on ‘real-world’ scenarios and our trainers are all highly experienced and skilled in their relevant fields.

Are your courses eligible for professional certification?

Yes, we offer certification with all our courses, every course is entitled to CPD (Continuous Professional Development) hours which you can put towards your professional portfolio.

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Professional Certificate in AI and Machine Learning for Professionals

  • United KingdomLondon
  • calendar06 - 10 May 2024
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  • United KingdomLondon
  • 06 - 10 May 2024
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