682 PIP courses delivered Online

The course helps you learn Snowflake from scratch and explore a few of its important features. You will build automated pipelines with Snowflake and use the AWS cloud with Snowflake as a data warehouse. You will also explore Snowpark to be worked on the data pipelines.

Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies. Job role: Data Analyst, Data Engineer, Data Scientist Overview Describe end-to-end analytics in Microsoft Fabric Describe core features and capabilities of lakehouses in Microsoft Fabric Create a lakehouse Ingest data into files and tables in a lakehouse Query lakehouse tables with SQL Configure Spark in a Microsoft Fabric workspace Identify suitable scenarios for Spark notebooks and Spark jobs Use Spark dataframes to analyze and transform data Use Spark SQL to query data in tables and views Visualize data in a Spark notebook Understand Delta Lake and delta tables in Microsoft Fabric Create and manage delta tables using Spark Use Spark to query and transform data in delta tables Use delta tables with Spark structured streaming Describe Dataflow (Gen2) capabilities in Microsoft Fabric Create Dataflow (Gen2) solutions to ingest and transform data Include a Dataflow (Gen2) in a pipeline This course is designed to build your foundational skills in data engineering on Microsoft Fabric, focusing on the Lakehouse concept. This course will explore the powerful capabilities of Apache Spark for distributed data processing and the essential techniques for efficient data management, versioning, and reliability by working with Delta Lake tables. This course will also explore data ingestion and orchestration using Dataflows Gen2 and Data Factory pipelines. This course includes a combination of lectures and hands-on exercises that will prepare you to work with lakehouses in Microsoft Fabric. Introduction to end-to-end analytics using Microsoft Fabric Explore end-to-end analytics with Microsoft Fabric Data teams and Microsoft Fabric Enable and use Microsoft Fabric Knowledge Check Get started with lakehouses in Microsoft Fabric Explore the Microsoft Fabric Lakehouse Work with Microsoft Fabric Lakehouses Exercise - Create and ingest data with a Microsoft Fabric Lakehouse Use Apache Spark in Microsoft Fabric Prepare to use Apache Spark Run Spark code Work with data in a Spark dataframe Work with data using Spark SQL Visualize data in a Spark notebook Exercise - Analyze data with Apache Spark Work with Delta Lake Tables in Microsoft Fabric Understand Delta Lake Create delta tables Work with delta tables in Spark Use delta tables with streaming data Exercise - Use delta tables in Apache Spark Ingest Data with DataFlows Gen2 in Microsoft Fabric Understand Dataflows (Gen2) in Microsoft Fabric Explore Dataflows (Gen2) in Microsoft Fabric Integrate Dataflows (Gen2) and Pipelines in Microsoft Fabric Exercise - Create and use a Dataflow (Gen2) in Microsoft Fabric

This course will let you develop the skillsets needed to guide the delivery of value in a Lean enterprise—and learn about the activities, tools, and mechanics used to manage backlogs and programs. Attending the class prepares you to take the exam and become a certified SAFe® 6 Product Owner/Product Manager (POPM). SAFe Product Owner/Product Manager 6 training course is provided under Scaled Agile, Inc. Partner Program Agreement.

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Overview Describe core data concepts Identify considerations for relational data on Azure Describe considerations for working with non-relational data on Azure Describe an analytics workload on Azure In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization. 1 - Explore core data concepts Identify data formats Explore file storage Explore databases Explore transactional data processing Explore analytical data processing 2 - Explore data roles and services Explore job roles in the world of data Identify data services 3 - Explore fundamental relational data concepts Understand relational data Understand normalization Explore SQL Describe database objects 4 - Explore relational database services in Azure Describe Azure SQL services and capabilities Describe Azure services for open-source databases 5 - Explore Azure Storage for non-relational data Explore Azure blob storage Explore Azure DataLake Storage Gen2 Explore Azure Files Explore Azure Tables 6 - Explore fundamentals of Azure Cosmos DB Describe Azure Cosmos DB Identify Azure Cosmos DB APIs 7 - Explore fundamentals of large-scale data warehousing Describe data warehousing architecture Explore data ingestion pipelines Explore analytical data stores 8 - Explore fundamentals of real-time analytics Understand batch and stream processing Explore common elements of stream processing architecture Explore Azure Stream Analytics Explore Apache Spark on Microsoft Azure 9 - Explore fundamentals of data visualization Describe Power BI tools and workflow Describe core concepts of data modeling Describe considerations for data visualization

Duration 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals 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 AI-900T00 - Microsoft Azure AI Fundamentals 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.

Why Choose Mastering Maya Basics to Intermediate Course? Click here for more info: Website Our courses cater to graphic designers, animators, and beginners, providing industry-standard animation skills. Dive into 3D animation, modeling, simulation, and rendering for film, TV, games, and ads. Duration: 20 hours Approach: 1-on-1 Sessions. Schedule: Design your own schedule by pre-booking a convenient hour of your choice, available Mon to Sat between 9 am and 7 pm. I. Introduction to Maya (1.5 hours) Understanding Maya and its Applications Navigating the Maya Interface and Basic Tools Creating and Managing Projects II. 3D Modeling (3 hours) Basics of Polygon Modeling Creating Simple and Complex 3D Shapes Organic Shape Creation using NURBS Advanced Techniques: Extrusions, Bevels, and Editable Objects III. Texturing and Materials (1.5 hours) Introduction to Texturing and Material Creation UV Unwrapping and Texture Mapping Importing and Applying Textures and Images IV. Lighting and Rendering (2 hours) Fundamental Lighting Techniques Camera Setup and Composition Rendering Images and Animations Output Options and File Formats V. Animation (4 hours) Keyframe Animation and Animation Curves Rigging and Animating Characters Motion Paths and Animation Layers Editing Animation Clips VI. Rigging (2 hours) Introduction to Rigging and Skeletons Binding Skin and Weight Maps Creating Rigging Systems for Characters VII. Special Effects (1.5 hours) Particle Systems and Dynamics Creating Fluids, Fire, and Other Effects Special Effects Editing: Explosions, Smoke, and more VIII. Advanced Modeling Techniques (1.5 hours) Complex Objects using Booleans and Deformers Modifying Curves and Surfaces Organic Shape Creation with Sculpting Tools IX. Conclusion and Next Steps (0.5 hours) Course Review Further Learning Tips and Resources Q&A and Feedback Please note: The course content and duration are flexible, tailored to match learners' needs and skill levels. Throughout the course, lifetime email support ensures you receive guidance with any challenges you face. Embark on your Autodesk Maya journey, exploring 3D modeling and animation with confidence. Additional Topics Covered: Modeling: Surfaces, Control Vertex, Polygons, Extrusion, Vertices, Edges, Bridge Tool, Combining, Smooth, Mirror Geometry, Merging Vertices, Subdivision Modeling. Deformations: Twist, Lattice, Flare, Bend. Shapes: Lines, Pen Tools. Animations: Basic Keyframes, Vertex Animation, Clusters, Path Animations, Skeletons, Bones, IK Handle Tool, Skinning. Dynamics: Fire, Lighting, Soft and Rigid Bodies, Particles, Collisions, Gravity. Fur and Paint Effects: Fur Basics, Fur Color Corrections, Paint Effects, Paint Modifier, Brush Animations. Texturing: Diffuse and Bump Maps, Reflections, Transparency, Shaders, Toon Shaders, Glow Textures. Lighting: Basic and Advanced Lights, Shadows, Special Light Effects. Camera: Free and Aim Cameras, Camera Effects, Path Animations. Fluid Effects and Ncloth: 2D and 3D Containers, Collision Effects, Gravity, Wind Effects. Rendering: Images and Animations, Render Techniques, Resolution Settings, Batch Rendering. Download Maya Maya Proficiency: Master Maya's interface, tools, and functions, advancing from basic to intermediate levels. 3D Modeling Expertise: Create diverse 3D models using polygonal and NURBS techniques, from simple shapes to intricate designs. Texturing and Rendering Skills: Apply textures, create materials, and utilize advanced rendering techniques for high-quality visuals. Animation Techniques: Understand keyframe animation, rigging, and character animation, producing engaging animations and special effects. Special Effects and Dynamics: Explore particle systems, fluid dynamics, and advanced visual effects, enhancing realism in animations. Advanced Modeling and Sculpting: Master complex modeling techniques, including Booleans, deformers, and organic shape creation through sculpting tools. Professional Portfolio: Develop a diverse portfolio showcasing 3D modeling and animation skills, ready for presentation to employers or clients. Problem-Solving Skills: Learn creative approaches to solve complex 3D challenges effectively. Collaborative Abilities: Understand team dynamics and collaboration within the 3D production pipeline. Recommended Books: "Introducing Autodesk Maya 202X" by Dariush Derakhshani and Randi L. Derakhshani: Comprehensive beginner's guide to Maya's essential tools and techniques. "Mastering Autodesk Maya 20XX" by Todd Palamar: In-depth intermediate guide covering advanced features, modeling, animation, and rendering. "Maya Character Creation: Modeling and Animation Controls" by Chris Maraffi: Focuses on character creation, covering modeling, rigging, and animation. "Maya Secrets of the Pros" by Todd Palamar: Expert tips and techniques from professional Maya artists, detailing advanced workflows and best practices. "Stop Staring: Facial Modeling and Animation Done Right" by Jason Osipa: Specialized book on facial modeling and animation, perfect for character expression enthusiasts. "The Art of 3D Computer Animation and Effects" by Isaac Kerlow: Offers foundational knowledge in 3D computer animation principles, applicable to various software, including Maya. Mastering Maya Basics to Intermediate Course Benefits: Comprehensive Skill Development: Master essential tools and techniques, from basics to intermediate, with hands-on projects mirroring real industry scenarios. Industry-Grade Proficiency: Acquire expertise in Autodesk Maya, enhancing credibility in animation, visual effects, and gaming industries. Creative Exploration: Unlock creative potential through advanced shading, lighting, dynamics, and simulations, enabling imaginative project realization. Portfolio Enhancement: Build a strong portfolio showcasing skills in 3D modeling, animation, and rendering for career advancement. Individualized Support: Receive personalized guidance and feedback, ensuring tailored learning experiences and skill refinement. Potential Jobs After Course: 3D Animator: Create lifelike character animations for films, games, and advertisements. 3D Modeler: Design detailed 3D characters, environments, and objects for various applications. Visual Effects Artist: Produce stunning visual effects for movies, TV shows, and commercials. Texture/Lighting Artist: Develop intricate textures and set the mood with expert lighting. Rigging Specialist: Rig characters and objects for realistic movement in animations. Rendering Specialist: Optimize rendering capabilities for high-quality images and animations. Game Developer: Contribute to interactive game development using Maya's features. Freelance Artist/Animator: Work independently on diverse projects, collaborating with studios and agencies. Skill Advancement: Progressive Mastery: Develop from basics to intermediate levels in Autodesk Maya, honing essential tools for stunning 3D visuals and animations. Hands-On Learning: Interactive Practice: Engage in practical projects, refining your skills in 3D modeling, advanced materials, character animation, and high-quality renders. Industry-Ready Proficiency: In-Demand Skills: Acquire proficiency in Autodesk Maya, a key software in animation and gaming, enhancing your employability. Creative Exploration: Unlock Creativity: Experiment with advanced shading, lighting, and dynamic animations, unleashing your creative potential in Maya. Flexible Support: Tailored Learning: Access recorded lessons for review, deepening your understanding, with lifetime email support for continuous guidance.

The Revit MEP course (£525), offers you individual learning (One to One) to improve your skills in Revit, and this course extends to 15 hours.

This course will enable you to bring value to the business by putting data science concepts into practice. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, but it can also inform - by guiding decisions and influencing day-to-day operations.

Start your career as a Data Scientist and earn upto £90,000/ Year Are you ready to unlock the power of Python and dive into the exciting world of data science? Look no further because we have the ultimate solution for you: Introducing our Data Science with Python Course with Career Support and Job Ready Program! Our mission is simple - to be your trusted partner every step of the way, from training to employment. In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring Data Scientists, so we can help you get your foot in the door. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our Data Scientist with Python Training Program today and start your journey to becoming a successful Data Scientist! 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Here are the courses we will provide once you enrol in the program: Course 01: Ultimate Python Training for Beginners Course 02: Python Intermediate Training Course 03: Python Advanced Training Course 04: SQL for Data Science, Data Analytics and Data Visualization Course 05: Basic Data Analysis Course 06: Develop Big Data Pipelines with R & Sparklyr & Tableau Course 07: Develop Big Data Pipelines with R, Sparklyr & Power BI Course 08: Customer Analytics Training Course 09: Google Analytics for Everyone Course 10: Google Data Studio: Data Analytics Course 11: Big Data Analytics with PySpark Tableau Desktop and MongoDB Course 12: Big Data Analytics with PySpark Power BI and MongoDB Course 13: Excel Data Analysis Course 14: Introduction to Data Analytics with Tableau Course 15: Machine Learning with Python Course Course 16: Python Programming Bible | Networking, GUI, Email, XML, CGI How Can We Offer Job Guarantees? HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The Data Scientist with Python Program is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the Data Scientist Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 16 premium courses related to Data Scientist. These courses will teach you the knowledge and skills required to become a successful Data Scientist. Our customer service team will help you and keep in contact with you every step of the way. 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With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in Data Science, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in Data Science begins with us. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring data scientists looking to enter the exciting field of data science. Professionals from other disciplines who want to transition into the data science domain. Software engineers or programmers interested in expanding their skill set to include data science. Analysts or researchers who want to enhance their data analysis and modeling capabilities. Students or graduates seeking to kick-start their careers in data science with a strong foundation. Requirements No experience required. Just enrol & start learning. Career path Data Analyst: £25,000 - £55,000 per year Data Scientist: £40,000 - £85,000 per year Machine Learning Engineer: £50,000 - £100,000 per year Data Engineer: £45,000 - £80,000 per year Business Intelligence Analyst: £35,000 - £65,000 per year Data Science Manager: £70,000 - £120,000 per year. Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included

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