5832 Model courses

Employee Motivation Certification Employee motivation is pivotal to a company's success. Workers who enjoy their jobs are more productive and more willing to put in extra effort and take fewer sick days. A motivated workforce contributes to a positive company culture, which in turn attracts talented employees and reduces turnover. This course provides an introduction to the mechanics of employee motivation, the factors that encourage people to give their best at work, and how to increase worker motivation. You will learn two theories of motivation and how they can be translated into everyday management practice. You Will Learn: Why organisations must take the issue of employee motivation seriously and how motivation can be understood using the ERG and Goal Setting models. How these theories can help us understand what really motivates employees and how managers can put these insights into practice. How to show appreciation to your employees and why traditional recognition schemes may not be effective. How and why employee involvement boosts motivation and the merits of the Tell, Sell, Consult and Join model as a decision-making framework. How to promote an enjoyable, inspiring and inclusive work environment that encourages a healthy work-life balance. Benefits Of Taking This Course You will develop a general understanding of employee motivation, which is invaluable if you work in a management position. You will be able to help disengaged employees regain their motivation, thus improving company performance. You will be able to prevent absenteeism and high turnover by promoting a healthy workplace environment. You will be able to make practical recommendations regarding employee motivation at all levels of your organisation. You will learn how to collaborate with employees to improve workplace processes and policies in a way that enhances everyone's job satisfaction.

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Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

24-Hour Knowledge Knockdown! Prices Reduced Like Never Before The UK economy is a major player on the world stage. Did you know it's the world's sixth-largest by nominal GDP? Understanding economic principles is crucial for navigating the financial world and making informed decisions. Understanding economic principles can be empowering, but navigating financial concepts can be daunting. Do you want to analyse budgets, build financial models, or even become a stock trader? This Economics Bundle equips you with a strong foundation in economic principles and practical financial skills. Courses cover everything from core economic concepts like supply and demand to practical applications like financial modeling and import/export processing. Gain expertise in budgeting, financial analysis, and investment strategies. Whether you aspire to be a business analyst, financial advisor, or tax accountant, this bundle provides the knowledge and tools you need to succeed. Courses Are Included In this Diploma in Economics Career Bundle: Course 01: Economics Course 02: Business Analyst Course 03: Accounting and Finance Course 04: Budget Analysis and Financial Report Building Course 05: Financial Modelling Course 06: Purchasing & Procurement Course 07: Import/Export Processing Course 08: Stock Trading Diploma Course 09: Financial Advisor Course 10: Financial Investigator Course 11: Tax Accounting and Administration in the UK Take control of your financial future and unlock exciting career opportunities. Enroll in the Economics Bundle today and gain the skills and knowledge to thrive in the ever-evolving world of finance. Learning Outcomes of Economics Explain key economic concepts like supply and demand, market structures, and fiscal policy. Analyse financial statements to assess a company's financial health. Develop and interpret financial models to make informed business decisions. Master the intricacies of import/export procedures and regulations. Apply financial analysis techniques to evaluate investment opportunities. Gain the knowledge and tools to navigate UK tax accounting and administration. Perhaps you want to develop a business model but don't know about production costs or pricing. Then this Intermediate Economics course is for you! The Intermediate Economics course covers the fundamentals of demand and supply, production theory, market structures, and market failures. Why Choose Our Economics Course? Get a Free CPD Accredited Certificate upon completion of Economics Get a free student ID card with Economics Training The Economics is affordable and simple to understand The Economics is an entirely online, interactive lesson with voiceover audio Lifetime access to the Economics course materials The Economics comes with 24/7 tutor support Take a step toward a brighter future! *** Course Curriculum *** Course 1: Economics Module 01: An Introduction to Economics Module 02: The Market System and the Circular Flow Model Module 03: Supply, Demand and Prices Module 04: Prices Module 05: Elasticity Module 06: Market Failures Module 07: Production and Costs Module 08: Market Structure: Perfect Competition vs Monopoly Module 09: Money, Banking and the Financial System Module 10: Measuring GDP and Economic Growth Module 11: Unemployment Module 12: Inflation Module 13: Income Distribution and Poverty Module 14: International Finance Module 15: Fiscal Policy Course 2: Business Analyst Module 01: Introduction To Business Management Module 02: Operations Management Module 03: Introduction To Business Analysis Module 04: Strategic Analysis And Product Scope Module 05: Project Management Module 06: Business Development And Succession Planning Module 07- Business Process Management Module 08: Planning & Forecasting Operations Module 09: Performance Management Module 10: Management Of Cash And Credit Course 3: Accounting and Finance Module 01: Introduction To Accounting And Finance Module 02: The Role Of An Accountant Module 03: Accounting Process And Mechanics Module 04: Introduction To Financial Statements Module 05: Financial Statement Analysis Module 06: Budgeting And Budgetary Control Module 07: Financial Markets Module 08: Financial Risk Management Module 09: Investment Management Module 10: Auditing =========>>>>> And 8 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*11 = £143) CPD Hard Copy Certificate: Free ( For The First Course: Previously it was £29.99) CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Business Owners Entrepreneurs Finance Professionals Career Changers Requirements You will not need any prior background or expertise to enrol in this bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Business Analyst Financial Analyst Stock Trader Financial Advisor Tax Accountant Import/Export Specialist Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - £29.99 Please note that International students have to pay an additional £10 as a shipment fee.

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This course will show you how to create simple, intermediate, and advanced REST APIs for authentication, deployment, caching, and much more. You will also cover essential technologies such as Flask and popular extensions such as Flask-Smorest, Flask-JWT-Extended, and Flask-SQLAlchemy; we will dive right into developing complete, solid, production-ready REST APIs.

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About this event A life drawing class from a nude model, we try to alternate between male and female but this isn't always possible. Suitable for beginners and the more experienced. Basic materials available. Bring your own if you would like to work in a specific medium. 2 hour drawing time. View other classes @ FaceBook - @woodrawschool Twitter - @JainMcKay  Instagram - https://www.instagram.com/worcesterdrawingschool Refund Policy Contact the organiser to request a refund.

Description: Training is a very important part to build and develop any organization. To start an effective training program, at first you have to define your needs and goals, then identify those who would most benefit from it and how to implement it. By this Training Program Development Course you will learn all those points you need to know to be a good trainer. This course will develop your training programs that are meaningful, practical, and will benefit both trainees and the organizations they work for. So, if you want to be a trainer with maximum knowledge you surely can take this course. Learning Outcomes: Relate the crucial contents for a training program Execute various techniques so as to program your design Examine competence for your preparation, research, as well as delivery of gorgeous contents Decode an instructive model Getting ready to launch a training program proposal Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Training Program Development Course is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Training Program Development Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Course Overview 00:15:00 Program Design 00:30:00 Identifying Needs 00:30:00 The Training Model 01:00:00 The Program's Basic Outline 01:00:00 Evaluation Strategies 01:00:00 Defining Your Approach 01:00:00 Researching and Developing Content 00:15:00 Choosing Openings and Energizers 00:30:00 Creating Supporting Materials 00:15:00 Testing the Program 00:15:00 Creating Proposals 00:30:00 Building Rapport 00:15:00 Mock Exam Mock Exam- Training Program Development Course 00:20:00 Final Exam Final Exam- Training Program Development Course 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.