AI courses delivered Online

This intensive 9 weeks Virtual Airline Cabin Crew course will give you all the information and tools you will need to become successful job candidate. 98% Employment rate after completion of the course. Virtual Airline Cabin Crew which is also known as Air Hostess, Flight Attendant and Stewardess course – Join your lesson from wherever you are.  This intensive 9 weeks Virtual Airline Cabin Crew course will give you all the information and tools you will need to become successful job candidate.   98% Employment rate after completion of the course. How will you learn? Apart of our traditional class-based tuition, we also offer Virtual Learning courses. On our Virtual (live stream via Zoom) lessons, we provide the same quality of tuition as in the classroom. You only need a laptop, PC or tablet with either built in (or external) camera and microphone. The virtual platform is very interactive with a sense of real classroom at the Academy. You will study from the comfort of your own home and communicate with your tutor and classmates via video chat (by using your phone or computer camera) and you will receive outstanding tuition, qualification, and certification. We provide A-Z guidance starting from before and after the course. Your tutor will guide you through the online course to graduation which you will be welcome to attend. What a joy it would be to meet your tutor and classmates in real life!! You will have: According to the timetable- 1 lessons per week for 9 consecutive weeks. Exams and final exam based on which the certificate will be issued. On successful completion you will hold: Airline Cabin Crew certificate in Current Airline Training Standards and Equipment.  What is Flight Attendant? Flight attendant/Airline Cabin Crew/Stewardess/Air Hostess are the most visible, glamorous jobs of all airline employees. A Flight Attendant is someone whose primary duty is to ensure the safety and comfort of passengers during a flight. They are members of an aircrew team , who operate a commercial, business or even military aircraft while travelling domestically or internationally.  Flight Attendant benefits: Getting paid for travelling the world Lifestyle Flexible Work Schedules Meeting Interesting People Free Food & Accommodation Excellent Compensation The uniforms Working Environment How to become successful Flight Attendant job candidate?Our Aviation Team understands each candidate who wish to become Airline Cabin Crew or start a career in Aviation. Airline companies look for individuals who share their values and can act as ambassadors for the company’s brand. Cabin Crew are the face of the airline company which means they deliver a fantastic service that makes airline world famous. Airline companies prefer candidates with knowledge of Cabin Crew role. Airline companies have selection day or online tests as a first stage of recruitment, after which, they will take a closer look at applicants CV, skills and experience. If you completed Airline Cabin Crew course, your application will stand out and you can get an offer from the first round.  Student – Cabin Crew Flying Support Group As a market leading Airline Cabin Crew Training Company with a wealth of experience in Aviation and recruitment, we constantly upgrading our course and going extra nautical mile to guide and support all our students to ensure they can reach their goals. Graduates who are already flying, offer their full support to us and new students. They share an insight of the airline they already fly with, and help new students through the process of joining them at that airline. It gives a flying start to a career to new learners.  Why London Waterloo Academy? Top Airline Cabin Crew course provider in London 98% Employment rate after completion of the course Individual support on the journey from the course to a job placement With years of experience in Airline Cabin Crew industry, London Waterloo Academy has been recognised by major TV, radio channels who have invited our Aviation Team for expert advice or interview. We are recognised by major airline companies in Europe and overseas who have approached London Waterloo Academy to deliver internal cabin crew training, corporate training and to recruit our graduates as a result of their high qualification standards and knowledge. Our graduates are now flying with Etihad, Saudi Air, Hainan Airlines, Small Planet, British Airways, Qatar, EasyJet, Thomas Cook, Ryanair, Cubana de Aviación, Air France,Titan, Norwegian B737 Short Haul and many more. We will enhance your CV Guidance through the job application process (free of charge) Gain an insight into the airline selection process and final one-to-one interview The vast global experience of our instructors This course has been developed in accordance with EASA PART-CC Working together – Starting a new career isn’t easy and often it can seem like a lonely and impossible process. Our Aviation Department stays behind each learner, supporting every step of the way, we give you all the tools, skills and assistance you need to succeed. Our success, built on the success of our students and a long list of graduates with successful stories. Course Entry Requirements: English Language at B2 (CEFR) level or above. There are no other special requirements for this Airline Cabin Crew course. We will teach you from scratch and support after the course when applying for the job. This course has been developed for all candidates, independent of their background, wishing to start a new career.  Dates (choose one for your course): 15 May 2024 – 10 July 2024, Wednesday classes 18 September 2024 – 6 November 2024, Wednesday classes 14 November 2024 – 9 January 2025, Thursday classes Course duration – 9 weeks Classes – once a week Lesson Time – 10am to 5pm – London time Course fee – £529 (we offer flexible payment plan and accept weekly instalments) Registration fee – £300 (includes: examination, Airline Cabin Crew certificate in Current Airline Training Standards and Equipment)

ECS Health & Safety Course with MJ Electrical Training. Available every week, use this course to complete the application process when applying for an ECS Labourers Card.

ECS Health & Safety Course with MJ Electrical Training. Available every week, use this course to complete the application process when applying for an ECS Labourers Card.

ECS Health & Safety Course with MJ Electrical Training. Available every week, use this course to complete the application process when applying for an ECS Labourers Card.

Whetstone Communications and comms2point0 are pleased to bring you the Data Bites series of free webinars. Our aim is to boost interest and levels of data literacy among not-for-profit communicators.

In the past, popular thought treated artificial intelligence (AI) as if it were the domain of science fiction or some far-flung future. In the last few years, however, AI has been given new life. The business world has especially given it renewed interest. However, AI is not just another technology or process for the business to consider - it is a truly disruptive force.

This award introduces the critical concepts associated with AI and explores its relationship with the systems and processes that make up the digital ecosystem. It explores how AI can empower organisations to utilise Big Data through the use of Business Analysis and Machine Learning, and encourages candidates to consider a future vision of the world that is powered by AI.

This module aims to develop knowledge from research activities to gain an understanding of international trade using Marketing , Social Media and how AI plays a role in International Marketing

This half-day course is for anyone who wants to learn how to use AI and specifically ChatGPT to improve their marketing and social media.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints