Duration 5 Days 30 CPD hours This course is intended for This intermediate course is for future DB2 for z/OS database administrators who need to acquire the basic skills required to administer a DB2 database. Overview Implement a DB2 database designUse database utilities to load and reorganize dataDefine and implement a DB2 database recovery strategyControl access to database using DB2 authorization facilities This course provides students with instruction on how to physically implement a logical database design in DB2. The course includes instruction on DB2 data management, DB2 catalog tables, the bind process, database utilities, & security considerations. Course Outline Setting up a DB2 database Referential integrity Getting data into and out of DB2 Keeping your DB2 data in good shape Application data recovery basics Program preparation and Bind Security Serialization Additional course details: Nexus Humans CV832 IBM DB2 11 for z/OS Database Administration Workshop Part 1 training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CV832 IBM DB2 11 for z/OS Database Administration Workshop Part 1 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Those who will provide container orchestration management in the AWS Cloud including: DevOps engineers Systems administrators Overview In this course, you will learn to: Review and examine containers, Kubernetes and Amazon EKS fundamentals and the impact of containers on workflows. Build an Amazon EKS cluster by selecting the correct compute resources to support worker nodes. Secure your environment with AWS Identity and Access Management (IAM) authentication by creating an Amazon EKS service role for your cluster Deploy an application on the cluster. Publish container images to ECR and secure access via IAM policy. Automate and deploy applications, examine automation tools and pipelines. Create a GitOps pipeline using WeaveFlux. Collect monitoring data through metrics, logs, tracing with AWS X-Ray and identify metrics for performance tuning. Review scenarios where bottlenecks require the best scaling approach using horizontal or vertical scaling. Assess the tradeoffs between efficiency, resiliency, and cost and impact for tuning one over the other. Describe and outline a holistic, iterative approach to optimizing your environment. Design for cost, efficiency, and resiliency. Configure the AWS networking services to support the cluster. Describe how EKS/Amazon Virtual Private Cloud (VPC) functions and simplifies inter-node communications. Describe the function of VPC Container Network Interface (CNI). Review the benefits of a service mesh. Upgrade your Kubernetes, Amazon EKS, and third party tools Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this course, you will learn container management and orchestration for Kubernetes using Amazon EKS. You will build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. You will manage container images using Amazon Elastic Container Registry (ECR) and learn how to automate application deployment. You will deploy applications using CI/CD tools. You will learn how to monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. You will learn how to design and manage a large container environment by designing for efficiency, cost, and resiliency. You will configure AWS networking services to support the cluster and learn how to secure your Amazon EKS environment. Module 0: Course Introduction Course preparation activities and agenda Module 1: Container Fundamentals Best practices for building applications Container fundamentals Components of a container Module 2: Kubernetes Fundamentals Container orchestration Kubernetes objects Kubernetes internals Preparing for Lab 1: Deploying Kubernetes Pods Module 3: Amazon EKS Fundamentals Introduction to Amazon EKS Amazon EKS control plane Amazon EKS data plane Fundamentals of Amazon EKS security Amazon EKS API Module 4: Building an Amazon EKS Cluster Configuring your environment Creating an Amazon EKS cluster Demo: Configuring and deploying clusters in the AWS Management Console Working with eksctl Preparing for Lab 2: Building an Amazon EKS Cluster Module 5: Deploying Applications to Your Amazon EKS Cluster Configuring Amazon Elastic Container Registry (Amazon ECR) Demo: Configuring Amazon ECR Deploying applications with Helm Demo: Deploying applications with Helm Continuous deployment in Amazon EKS GitOps and Amazon EKS Preparing for Lab 3: Deploying App Module 6: Configuring Observability in Amazon EKS Configuring observability in an Amazon EKS cluster Collecting metrics Using metrics for automatic scaling Managing logs Application tracing in Amazon EKS Gaining and applying insight from observability Preparing for Lab 4: Monitoring Amazon EKS Module 7: Balancing Efficiency, Resilience, and Cost Optimization in Amazon EKS The high level overview Designing for resilience Designing for cost optimization Designing for efficiency Module 8: Managing Networking in Amazon EKS Review: Networking in AWS Communicating in Amazon EKS Managing your IP space Deploying a service mesh Preparing for Lab 5: Exploring Amazon EKS Communication Module 9: Managing Authentication and Authorization in Amazon EKS Understanding the AWS shared responsibility model Authentication and authorization Managing IAM and RBAC Demo: Customizing RBAC roles Managing pod permissions using RBAC service accounts Module 10: Implementing Secure Workflows Securing cluster endpoint access Improving the security of your workflows Improving host and network security Managing secrets Preparing for Lab 6: Securing Amazon EKS Module 11: Managing Upgrades in Amazon EKS Planning for an upgrade Upgrading your Kubernetes version Amazon EKS platform versions Additional course details: Nexus Humans Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the The Machine Learning Pipeline on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Course Duration: Half-day or full-day session (with options for virtual delivery or multi-part series) Target Audience: People leaders, team members, HR professionals, and employees at all levels who want to foster a mindset of continuous improvement, learning, and innovation within their team or organisation. Course Objectives By the end of this course, participants will be able to: Understand what a growth mindset is and how it contrasts with a fixed mindset. Recognise the impact of mindset on learning, collaboration, leadership, and performance. Identify individual and team mindset behaviours. Apply strategies to shift thinking and encourage a culture of experimentation, feedback, and perseverance. Create an action plan to promote growth mindset behaviours in their workplace. Course Outline Module 1: Understanding Growth Mindset What is a growth mindset? (Based on Carol Dweck’s research) Growth vs fixed mindset: beliefs, language, and behaviours How mindsets impact learning, feedback, risk-taking, and innovation Common myths and misconceptions about growth mindset Module 2: The Neuroscience of Change and Learning How the brain learns and rewires through effort and repetition The science behind resilience, motivation, and behaviour change Reframing failure as feedback Why psychological safety is critical for learning cultures Module 3: Identifying Mindsets at Work Recognising fixed mindset triggers (e.g., fear of failure, comparison, perfectionism) Team culture audit: are we reinforcing learning or performance-only behaviours? Case studies: organisations that built growth cultures Self-reflection: where do I show fixed vs growth mindset? Module 4: Cultivating Growth Mindset Behaviours Shifting language: praise effort, strategy, and persistence—not just results Giving and receiving feedback to promote learning Normalising experimentation and learning from setbacks Encouraging reflective practice and continuous improvement Module 5: Leadership and Culture Shaping The leader’s role in modelling a growth mindset Embedding growth mindset into performance conversations, goal setting, and team rituals Aligning rewards, recognition, and development frameworks Avoiding the "false growth mindset" trap Module 6: Building a Growth Mindset Action Plan Identify 3 key mindset-shifting strategies for your team or organisation Personal mindset goal: what will you shift in your daily language or habits? Commit to culture practices: team experiments, learning debriefs, celebration of effort Optional: accountability partner and 30-day mindset challenge Delivery Style Interactive workshop format Storytelling, real-world examples, and reflection Pair and group discussions, case scenarios, and mindset mapping Tools and templates to apply immediately in the workplace Course Materials Provided Growth Mindset Field Guide Growth vs Fixed Mindset Behaviour Grid Conversation prompts and feedback scripts Personal Mindset Reflection and Tracker 30-Day Growth Culture Challenge Template Optional Add-ons Pre-course mindset diagnostic or self-assessment Leader/Manager booster session on modelling growth mindset Follow-up team challenge or learning sprint Integration with performance management or onboarding programs
Course Duration: Full-day program (or two half-day modules), with options for virtual delivery or leadership retreats Target Audience: Mid to senior-level leaders, team managers, project leads, or high-potential employees who are responsible for leading through disruption, complexity, or organisational transformation. Course Objectives By the end of this course, participants will be able to: Understand the principles of adaptive leadership and why it's essential in unpredictable environments. Recognise the difference between technical and adaptive challenges. Build the mindset and behaviours needed to lead with resilience and flexibility. Engage and empower teams in the face of uncertainty and resistance. Apply practical tools to lead through change, conflict, and complexity. Course Outline Module 1: Understanding Adaptive Leadership What is adaptive leadership? Origins (Harvard Kennedy School, Ronald Heifetz model) How adaptive leadership differs from traditional leadership The link between complexity, uncertainty, and the need for adaptability Module 2: The Nature of Change and Challenge Technical vs adaptive challenges Why some problems can’t be solved with expertise alone Common leadership traps during crisis or disruption Adaptive work: reframing problems and shifting mindsets Module 3: The Core Principles of Adaptive Leadership Get on the balcony – seeing the bigger picture Regulate distress – maintaining productive tension Maintain disciplined attention – keeping teams focused Give the work back – empowering others to lead Protect voices of leadership from below – enabling diverse input Module 4: Leading Yourself Through Uncertainty Developing personal resilience and emotional agility Navigating ambiguity, setbacks, and pressure Identifying your leadership default style under stress Reflection: What kind of leader does your team need now? Module 5: Engaging Others in Times of Uncertainty Building trust and psychological safety during turbulence Managing resistance to change with curiosity and empathy Tools for courageous conversations and adaptive dialogue Creating shared purpose and distributed leadership in teams Module 6: Adaptive Tools and Techniques Scenario planning and sensemaking Stakeholder mapping in dynamic environments Using inquiry over advocacy Holding space for experimentation and learning Leading with both confidence and humility Module 7: Action Planning and Application Identify one adaptive challenge in your role/team Map your adaptive leadership response Peer coaching conversations Build a 30-day Adaptive Leadership Plan Delivery Style Workshop-style, highly interactive Case studies, breakout discussions, and guided self-reflection Scenario-based practice and small group exercises Option to include pre-work, post-session coaching or check-ins Course Materials Provided Adaptive Leadership workbook Reflection tools and leader self-assessment Conversation guide for adaptive challenges Change resistance diagnostic Personal Leadership Development Plan template Optional Add-ons Executive coaching package 360 feedback or team diagnostic on adaptive capacity Integration with change management or innovation programs Customisation for specific industries (e.g., public sector, healthcare, education, finance)
Course Duration: 2 days (or modular format over 3–4 half-day sessions) Target Audience: New or aspiring trainers, facilitators, team leads, or subject-matter experts who deliver training or knowledge-sharing sessions. Course Objectives By the end of this course, participants will be able to: Understand the principles of adult learning and training design. Confidently plan and structure engaging training sessions. Deliver content clearly using effective facilitation techniques. Manage group dynamics and encourage learner participation. Evaluate training effectiveness and improve performance. Course Outline Day 1: Designing Training for Adult Learners Module 1: Understanding the Trainer’s Role Role and responsibilities of an effective trainer Differences between training, presenting, and facilitating Characteristics of great trainers Module 2: Adult Learning Principles How adults learn: motivation, barriers, and learning preferences Learning styles and engagement strategies Applying adult learning theory to real training contexts Module 3: Training Needs Analysis Identifying learning needs and performance gaps Defining clear learning objectives Aligning training outcomes with organisational goals Module 4: Structuring a Training Session Designing training using ADDIE or the 4MAT model Creating session plans and timelines Balancing content delivery with interaction Day 2: Delivering and Evaluating Engaging Training Module 5: Facilitation Skills and Training Delivery Verbal and non-verbal communication Creating a safe and inclusive learning environment Encouraging participation and managing learner resistance Techniques for in-person and online delivery Module 6: Using Training Tools and Technology Using visuals and presentation aids effectively Incorporating activities, case studies, and role plays Facilitating discussions, group work, and Q&A Tips for hybrid and online delivery (Zoom, Teams, etc.) Module 7: Handling Group Dynamics and Challenges Managing difficult participants or situations Reading the room and adjusting on the fly Building confidence as a trainer Module 8: Evaluating Training Effectiveness Gathering and using learner feedback (Kirkpatrick Model) Self-reflection and peer observation Continual improvement of training materials and delivery Delivery Style Practical, hands-on workshops with active participation Peer feedback, group work, and presentation practice Real-time coaching and confidence building Assessment and Certification (Optional) Mini training delivery by each participant with peer and trainer feedback Completion of a training session plan Certificate of completion (customisable to organisation) Course Materials Provided Participant workbook and templates Sample training session plans and evaluation forms Trainer’s checklist and facilitation guide Resource list for further development
Duration 2 Days 12 CPD hours Overview Create heightened self-awareness and personal discovery Establish a space of mutual respect by adapting your communication Work with resistance to gain commitment and buy-in Recognize and enhance trust by leading from any position Distinguish among varying attitudes and behaviors to make your teams work as a stronger unit One of DISC?s most intriguing applications is leveraging behavioral identification and adaptability. This workshop will guide you on the path of heightened self-awareness and personal discovery. You can make this your cornerstone seminar, revealing your unique behavioral style blend and how to apply that knowledge prescriptively to others, based on their style blend; thus boosting communication effectiveness. Studies indicate that 92% of workplace conflict is the result of misunderstanding and communication breakdowns. Your entire organization can apply DISC?s prescriptive lessons of behavioral adaptability to reduce employee conflict and turnover, increase productivity, and optimize team performance. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. 1. Understanding The World Of Disc What is DISC? Breaking down the four main styles: Dominant Influencing Steady Conscientious Determining behaviors to read styles: Indirect vs. Direct Open vs. Guarded 2. Building Stronger Self-Awareness Rating your own style Understanding the Platinum Rule Grid Breaking down your profile Natural Style Adapted Style 3. Reading And Adapting To Others? Behaviors Applying the Platinum Rule Identifying characteristics in others Communication strategies with others Adapting your approaches 4. Getting Buy-In From Others Selling yourself to others Getting buy-in from each profile Understanding the cycle of getting buy-in Assessing Solving Confirming agreement Assuring satisfaction 5. Trust-Based Leadership High performance leadership characteristics The key to listening to build trust Motivating strategies with each profile 6. Making Teams Work Understanding how we each make decisions Seeing the power in each style as a role Blending team styles for teamwork Reviewing the team needs to optimize effectiveness
Duration 1 Days 6 CPD hours This course is intended for This course is aimed at users with the Tableau CRM license who need to build effective lenses and dashboards for their business users to explore their data. It may also be of interest to users who are connecting and integrating this data, to understand how it is used in the lens and dashboard building process. Overview Build and manage apps in Tableau CRM Design a dashboard based on requirements, and create a dashboard template Create and add lenses to build a dashboard Optimize a dashboard for mobile use Ready to start building in Tableau CRM? In this course, you?ll find out how to design and create an effective dashboard layout to help viewers quickly find their way around. You?ll learn how to build lenses and add them into your dashboards using the Tableau CRM Dashboard Designer. Once you?ve created a dashboard, you?ll also learn how to optimize the dashboard for mobile. Finally you?ll also learn how to organize your lenses and dashboards using apps and ensure that only the right users have access to them.Looking for Tableau classes? Check out the Tableau catalog here. Managing Apps, Lenses, Dashboards, and Datasets Overview of building and managing apps Building an app Manage apps, lenses, dashboards, and datasets Designing a Dashboard and Creating a Template Dashboard Building Overview Designing a Dashboard Create a dashboard template Building a Dashboard Building a Dashboard Adding Charts, Tables, and KPIs to a Dashboard Adding Filters to a Dashboard Modify a Dashboard for Mobile Translating Desktop Dashboards to a Mobile Device Creating/Updating Mobile Dashboard Layouts
Duration 1 Days 6 CPD hours This course is intended for New administrators, business analysts or report writers who are new to creating reports or dashboards within Salesforce. Overview A student in this class will learn the basic Salesforce object model, and how to create and secure reports and dashboards. The instructor will lead students through exercises to create tabular, summary, matrix and join reports. Students will learn advanced reporting functionality such as charting, report summary fields, bucket fields, conditional highlighting, advanced report filters and building custom report types. Finally, the student will learn how to create and run dashboards and schedule and email reports and dashboards. This course is specifically designed to teach administrators, business analysts or report writers how to utilize the basic and advanced analytic capabilities of Salesforce. Introductions / Login to Training OrgsOverview of Salesforce Object ModelTabular, Summary, Matrix, Join ReportsCharts, Bucket Fields, Report Summary Fields, Conditional HighlightingCustom Report TypesDashboardsReport & Dashboard Scheduling Additional course details: Nexus Humans Introduction to Salesforce.com Analytics - Building Reports and Dashboards training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to Salesforce.com Analytics - Building Reports and Dashboards course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Duration 1 Days 6 CPD hours This course is intended for Individuals planning to deploy applications and create application environments on Google Cloud. Developers, systems operations professionals, and solution architects getting started with Google Cloud. Executives and business decision makers evaluating the potential of Google Cloud to address their business needs. Overview Identify the purpose and value of Google Cloud products and services. Interact with Google Cloud services. Describe ways in which customers have used Google Cloud. Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine. Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore. Make basic use of BigQuery, Google's managed data warehouse for analytics. This course uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that you can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies. Introducing Google Cloud Platform Explain the advantages of Google Cloud Platform. Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Getting Started with Google Cloud Platform Identify the purpose of projects on Google Cloud Platform. Understand the purpose of and use cases for Identity and Access Management. List the methods of interacting with Google Cloud Platform. Lab: Getting Started with Google Cloud Platform. Google Compute Engine and Networking Identify the purpose of and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Lab: Deploying Applications Using Google Compute Engine. Google Cloud Platform Storage Options Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable. Learn how to choose between the various storage options on Google Cloud Platform. Lab: Integrating Applications with Google Cloud Storage. Google Container Engine Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Introduction to Hybrid and Multi-Cloud computing (Anthos). Lab: Deploying Applications Using Google Container Engine. Google App Engine and Google Cloud Datastore Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand the purpose of and use cases for Google Cloud Endpoints. Lab: Deploying Applications Using App Engine and Cloud Datastore. Deployment and Monitoring Understand the purpose of template-based creation and management of resources. Understand the purpose of integrated monitoring, alerting, and debugging. Lab: Getting Started with Stackdriver and Deployment Manager. Big Data and Machine Learning Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Lab: Getting Started with BigQuery. Summary and Review Summary and Review. What's Next?.