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Training duration: 10 hrs Click here for info Method: 1-2-1, Personalized attention, Tailored content, Flexible pace, Individual support. Schedule: Personalized training experience with our flexible 1-2-1 sessions. Tailor your own schedule by pre-booking a convenient hour of your choice, available from Monday to Saturday between 9 am and 7 pm. Autodesk Maya Training Course with our flexible evening training course. Designed to accommodate busy schedules, this course allows you to learn Maya at your convenience, either in-person or through live online sessions. Master essential features and workflows to create captivating 3D models, animations, and visual effects. Benefit from expert guidance, hands-on projects, and lifetime email support, ensuring a rewarding learning experience. Enroll now to ignite your creativity and open doors to exciting opportunities in the animation and visual effects industry. The Autodesk Maya Evening Training Course offers a flexible learning option for busy professionals and students with daytime commitments. Master the powerful tools and capabilities of Autodesk Maya during convenient evening sessions. Participants will receive comprehensive training in 3D modeling, materials, animation, lighting, and rendering. The course progresses to advanced topics, including dynamics, character rigging, shading, and compositing. Enroll in this course to develop valuable skills in 3D computer graphics and animation. Benefit from interactive learning experiences and expert guidance, whether attending in-person or joining live online sessions. Maya Evening Training Courses Duration: 10 hours Course Outline: I. Introduction to Maya (1 hour) Gain insights into Maya's versatile applications and interface. Master navigation and project management. II. Creating 3D Models (2 hours) Learn polygon modeling basics and refine objects with precision. III. Texturing and Materials (1 hour) Apply and customize materials for enhanced visuals. IV. Lighting and Rendering (1.5 hours) Explore lighting techniques and rendering. V. Animation (2.5 hours) Understand animation principles and rig characters. VI. Special Effects (1 hour) Harness particle systems and create captivating effects. VII. Intermediate Modeling Techniques (1 hour) Venture into NURBS modeling and sculpting tools. VIII. Conclusion and Next Steps (0.5 hour) Recap and explore further learning resources. Autodesk Maya Evening Training Course Topics Covered: Modeling, Texturing, Animation, Lighting, Rendering, and more. Download Autodesk Maya! Create expansive worlds, characters, and effects. Subscribe now for a year and start your 3D model and animation journey. Visit https://www.autodesk.co.uk/maya for a free trial. Upon completing the Autodesk Maya Evening Training Course, participants will gain proficiency in 3D modeling, texturing, animation, lighting, and rendering using Autodesk Maya. They will acquire the skills to create captivating visuals and animations, opening up opportunities in diverse industries such as entertainment, gaming, and architectural visualization. The flexible evening schedule allows for convenient learning, accommodating busy professionals and students.

Special Executive Masters Programme (S.E.M.P) This programme is geared at enhancing professionals' careers. The SEMP is an encapsulated Senior Management Programmes are short certificate modules designed for anyone who would benefit from more in-depth business knowledge delivered in a short and intensive programme What makes us different? We are a world class business school located in the heart of London, Dubai, Islamabad and Lagos. We are one of the fastest growing British business schools with a stylish blended learning model that is both online and on campus. Learn more about the programme Special Executive Master's Programme in International Marketing Strategy Course Overview The MSBM Special Executive Masters Programmes (SEMP) allows you to update your skills, develop new skills, and explore and develop interests in a wide range of topics. These courses can be taken as personal or professional development and may enhance your employability. The encapsulated Senior Executive Programme in International Marketing Strategy is for high-performance managers and directors who work in critical roles using available resources to effectively produce products and services in a way that satisfies the customers. The Programme is also useful for managers and directors who need an intensive course to cover the key areas that drive success and profit in everyday business marketing. This Programme is designed to give you a comprehensive understanding of the key skills and practices used by marketing executives and their organizations to make informed marketing decisions that are vital to the success of any business. Participants will learn how to critically evaluate key marketing models and apply them to a real-life business problem at a strategic level. Course Details Mode of Study Using Web-based technology, this program provides self-paced, individualized instruction that can be taken anywhere and anytime an individual has access to a computer and the Internet. This Programme is suitable for successful professionals or specialists in the private, public, or voluntary sectors who have new management responsibilities and need to quickly expand their management knowledge. This Programme serves as a refresher course for those who have had their Masters a long time ago and need quick reminders and professional/ academic updates while it serves as a primer for those very experienced Professionals who never made time out for their masters yet they require the academic and practical relevance of this master’s experience. It is a short executive training that runs online for 3 months. Candidates will run 2 months of active lectures and series of assignments and 1 month for their dissertation. Upon successful completion of the Programme, candidates will be awarded a Continuing Professional Development (CPD) certificate in the specific Programme they have completed. What is a CPD Course? Continuing Professional Development (CPD) is the means by which professionals maintain and enhance their knowledge and skills. The world is constantly moving at a very fast pace so undertaking CPD is essential to support a professional in his/her current role as well as helping them with career progression. CPD is all about upgrading knowledge, skills, and capabilities to remain effective and compliant. A CPD course is an investment that you make in yourself. It’s a way of planning your development that links learning directly to practice. CPD can help you keep your skills and knowledge up to date and prepare you for greater responsibilities. It can boost your confidence, strengthen your professional credibility, and help you become more creative in tackling new challenges. Is the SEMP International Marketing the right Programme for me? If you want to understand how to align marketing strategies with business strategy, and how high-performing business leaders make better decisions about their products, services, customers, brand, and competition, then this is just the right Programme for you. Why SEMP International Marketing? This Programme is designed to give you a comprehensive understanding of the key skills and practices used by marketing executives and their organizations to make informed marketing decisions that are vital to the success of any business. Participants will learn how to critically evaluate key marketing models and apply them to a real-life business problem at a strategic level. This 100% online certificate enhances your understanding of the role of marketing in organizational strategy and highlights the advantages of using a cross-functional perspective to lead successful companies or units. By the end of three months, you will have worked through several case studies, have access to numerous online academic materials, interact with peers from different countries and backgrounds, and also have received directions from the best business trainers in the business world today. Who Should Enrol in This online Certificate Program? The SEMP International Marketing Strategy Programme is designed for entry-level managers, up to mid-level managers, senior managers, or directors who are in a general marketing role or fast approaching such position and are seeking an opportunity to obtain a richer, deeper understanding of marketing skills. Here are some of our current online SEMP IMS students:  Marketing Professionals Senior Marketing Directors Marketing Managers Business Owners Government officials Accreditation The content of this course has been independently certified as conforming to universally accepted Continuous Professional Development (CPD) guidelines. Entry Requirements There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. Workshops This is a self-study programme with unlimited tutor support. You will never be more than a message or phone call away from our tutors. Visa Requirements There are no Visa Requirements for this Course as its an Online Course.

Embark on a transformative educational journey with our course, 'Designing an L&D Strategy to Power Digital Transformations.' In a digital era where change is the only constant, this course is your gateway to unlocking the secrets of Learning and Development (L&D) strategies that fuel digital transformations. Dive into the intricacies of digital transformation and understand the pivotal role L&D plays in meeting the evolving needs of businesses. From defining L&D goals to mastering the 70-20-10 learning framework, this course offers a comprehensive roadmap for crafting strategies that not only meet the demands of the present but also pave the way for future success. As you traverse through the modules, you'll be guided through the crucial steps of role analysis, competency mapping, and the implementation of the 70-20-10 model. This course isn't just about theory; it's a hands-on experience that empowers you to add wings to your L&D strategy. Elevate your skills, embrace the digital future, and position yourself as a key player in driving organizational success through well-crafted learning and development initiatives. Learning Outcomes Digital Transformation Expertise: Gain a profound understanding of digital transformation and discover the integral role of L&D in meeting business demands. Role Analysis and Competency Mapping: Master the art of role analysis and competency mapping, essential steps in tailoring L&D strategies to organizational needs. 70-20-10 Learning Framework Mastery: Explore the 70-20-10 model and define strategies to empower this learning framework, ensuring a holistic approach to employee development. Implementation Skills: Learn to put theories into action with hands-on experience, ensuring that your L&D strategies are not only theoretical but also practical and effective. Future-Ready L&D Strategies: Acquire the skills needed to design L&D strategies that go beyond the present, preparing organizations for the challenges of tomorrow. Why choose this Designing an L&D Strategy to power Digital Transformations course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Designing an L&D Strategy to power Digital Transformations course for? L&D Professionals HR Managers Business Leaders Training Coordinators Anyone Involved in Organizational Development Career path Learning and Development Manager: £40,000 - £70,000 HR Consultant: £35,000 - £60,000 Organizational Development Specialist: £40,000 - £65,000 Training and Development Coordinator: £30,000 - £50,000 Human Resources Manager: £45,000 - £75,000 Change Management Consultant: £50,000 - £80,000 Prerequisites This Designing an L&D Strategy to power Digital Transformations does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Designing an L&D Strategy to power Digital Transformations was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction Do You Know? 00:01:00 Course Introduction 00:02:00 What You'll Learn 00:01:00 Module 02: Digital Transformation And The Role Of L&D Digital transformation Defined 00:02:00 The Business Ask from L&D 00:01:00 Module 03: The Start Line For L&D What's the L&D Goal? 00:01:00 Role Analysis & Competency Mapping - the 1st Step 00:02:00 Role Analysis & Competency Mapping - An Overview 00:02:00 Role Analysis - Part I Procedure 00:03:00 Competency Mapping - Part II Procedure 00:02:00 Putting into Action & Post Course Support 00:01:00 The Next Step 00:01:00 Module 04: The 70-20-10 Learning Framework Introduction 00:01:00 The 70-20-10 Model of Learning 00:03:00 Defining a 70-20-10 Learning Strategy 00:03:00 Strategies & Learning Tech to Empower 70-20-10 00:05:00 Putting into Action & Post Course Support 00:01:00 Module 05: Add Wings To Your L&D Strategy Introduction 00:01:00 Bonus Lecture@ 00:02:00

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special Drama Therapy Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training that employers are looking for in today's workplaces. The Drama Therapy Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Drama Therapy Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Drama Therapy Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Drama Therapy? Unlimited access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standard-accredited qualifications after course completion Receive one-to-one assistance every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Drama Therapy there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Drama Therapy course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skills. Prerequisites This Drama Therapy does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Drama Therapy was made by professionals and it is compatible with all PCs, Macs, tablets, and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as a bonus, you will be able to pursue multiple occupations. This Drama Therapy is a great way for you to gain multiple skills from the comfort of your home.   Module 01: Introduction to Drama Therapy Introduction to Drama Therapy 00:10:00 Module 02: Benefits of Drama Therapy Benefits of Drama Therapy 00:10:00 Module 03: Metaphors and Symbols Metaphors and Symbols 00:10:00 Module 04: Processes and Techniques Processes and Techniques 00:10:00 Module 05: Developmental and Integrated Model of Drama Therapy Developmental and Integrated Model of Drama Therapy 00:10:00 Module 06: Role Theory Approach and Psychodrama Role Theory Approach and Psychodrama 00:10:00 Module 07: Assessment, Evaluation and Ethics Assessment, Evaluation and Ethics 00:10:00 Module 08: Drama Therapy for Various Age Groups Drama Therapy for Various Age Groups 00:10:00

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

The aim of this course is to provide an understanding of the intersection of law and ethics, including major ethical perspectives, ethical decision-making models, and the relationship between law and ethics. Students will learn about the importance of setting an ethical tone at the top of an organization and the ethical decision tree for business leaders. The course will cover the short- and long-term returns and the promotion of ethical behavior and social responsibility in the marketplace. Students will also gain knowledge about the history and basic framework of antitrust laws, including horizontal and vertical restraints of trade, price discrimination, and concentrations of market power. The course will also explore antitrust enforcement, antitrust injury, limitations of antitrust enforcement, and antitrust considerations. After the successful completion of the course, you will be able to learn about the following, Law & Ethics: What Is Ethics? Major Ethical Perspectives. An Ethical Decision Model. Relationship b/w law and ethics. Ethical tone sets at the top. Ethical business leader decision tree. Tension b/w short- and long-term returns. Social Responsibility. Positive actions. Promoting ethical Behaviour. Moral of the marketplace. Antitrust: History and Basic Framework of Antitrust Laws. Horizontal Restraints of Trade. Vertical Restraints of Trade. Price Discrimination- The Robinson-Patman Act. Sherman Act, Section 2- Concentrations of Market Power. Acquisitions and Mergers under Section 7 of the Clayton Act. Unfair Methods of competition section 5 of the federal commission act. Antitrust enforcement. Antitrust injury. Limitations of antitrust enforcement. Antitrust considerations. This course aims to explore the intersection of law and ethics, with a particular focus on the major ethical perspectives and an ethical decision-making model. Students will examine the relationship between law and ethics and how ethical tone sets at the top of an organization. The course will cover topics such as the tension between short- and long-term returns, social responsibility, promoting ethical behaviour, and the morale of the marketplace. Additionally, students will learn about antitrust laws, including the history and basic framework of antitrust laws, horizontal and vertical restraints of trade, price discrimination, and concentrations of market power. The course will also cover acquisitions and mergers under Section 7 of the Clayton Act, unfair methods of competition under Section 5 of the Federal Commission Act, antitrust enforcement, antitrust injury, and the limitations of antitrust enforcement. The aim of this course is to provide an understanding of the intersection of law and ethics, including major ethical perspectives, ethical decision-making models, and the relationship between law and ethics. Students will learn about the importance of setting an ethical tone at the top of an organization and the ethical decision tree for business leaders. The course will cover the short- and long-term returns and the promotion of ethical behavior and social responsibility in the marketplace. Students will also gain knowledge about the history and basic framework of antitrust laws, including horizontal and vertical restraints of trade, price discrimination, and concentrations of market power. The course will also explore antitrust enforcement, antitrust injury, limitations of antitrust enforcement, and antitrust considerations. VIDEO - Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Concept and Implications of Ethics and Antitrust in Business Self-paced pre-recorded learning content on this topic. Concept and Implications of Ethics and Antitrust in Business Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Ethics and Compliance Officer Antitrust Attorney Corporate Social Responsibility Manager Business Ethics Consultant Antitrust Investigator Compliance Analyst Risk Management Specialist Business Conduct and Ethics Trainer Antitrust Litigation Specialist Corporate Responsibility Coordinator Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.

The underlying patterns in your data hold vital insights; unearth them with cutting-edge clustering and classification techniques in R

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 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.