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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.

What is the managed learning programme? This is a package course that has been developed by Logic Certification Limited (LCL) and is recognised by the gas industry’s Standard Setting Body (SSB.) It is a route for experienced trades to learn, develop and build a portfolio within the gas industry. Once this MLP is completed, candidates can then move on to the new entrant ACS assessment, allowing them to be on the Gas Safe Registration. Course Duration: 8 weeks (plus the time taken to complete portfolio) Pre-Requisites Candidates must know how to install hot and cold-water pipework and fittings competently and have 2 years experience in a related trade and/or a recognised qualification. What is gained from this gas course? Upon completion of the MLP, candidates will receive a competence certificate for the range of technique elements, they will also receive an industry recognised MLP training certificate for Logic Certification. Once the MLP is successfully completed, candidates can take the ACS assessment – we can add the ACS assessment to this course for a discounted fee.

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! If you have any questions, you can contact us. We will be happy to provide you with all the information you need. Why Choose Us? So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our Data Scientist with Python: Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some Data Scientist experience, we will guide you towards honing your skills and developing a strong foundation in Data Science. Tailored CV Building: Crafting an impressive CV is crucial in today's competitive job market. Our team of experts will work closely with you to create a professional CV that showcases your skills and highlights your potential as a Data Scientist. We'll ensure that your CV stands out among the rest, increasing your chances of landing that dream job. One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Data Science field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise. Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking Data Scientists. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress. Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. If, for any reason, you're not happy with our services, we'll refund your investment, no questions asked. Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Whether you need advice on career advancement, assistance with new projects, or simply a friendly ear to share your achievements, we'll be your trusted partner for long-term success. 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. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3 - Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the Data Scientist industry. 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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If you want to gain a step-by-step understanding of how to deploy any MEAN stack application on Azure Cloud with CICD Pipeline using Azure DevOps and other cloud services, then this course is for you. This is one of the most practical hands-on-based full-stack application deployment courses where you will learn everything about public cloud services from scratch.

If you want to learn how to deploy any MERN Stack application on Azure Cloud with a CICD pipeline using Azure DevOps and other cloud services, then this course is for you. This course covers all the concepts that one needs to start creating continuous integration and continuous deployment pipelines end to end using Azure cloud and Azure DevOps. This is one of the most practical hands-on-based full-stack application deployment courses.

Innovation Project Management: Virtual In-House Training Companies need growth for survival. Companies cannot grow simply through cost reduction and reengineering efforts. This program describes the relationship that needs to be established between innovation, business strategy, and project management to turn a creative idea into a reality. We will explore the importance of identifying the components of an innovative culture, existing differences, challenges, and the new set of skills needed in innovation project management. Companies need growth for survival. Companies cannot grow simply through cost reduction and reengineering efforts. Innovation is needed and someone must manage these innovation projects. Over the past two decades, there has been a great deal of literature published on innovation and innovation management. Converting a creative idea into reality requires projects and some form of project management. Unfortunately, innovation projects, which are viewed as strategic projects, may not be able to be managed using the traditional project management philosophy we teach in our project management courses. There are different skill sets needed, different tools, and different life-cycle phases. Innovation varies from industry to industry and even companies within the same industry cannot come to an agreement on how innovation project management should work. This program describes the relationship that needs to be established between innovation, business strategy, and project management to turn a creative idea into a reality. We will explore the importance of identifying the components of an innovative culture, existing differences, challenges, and the new set of skills needed in innovation project management. What you Will Learn Explain the links needed to bridge innovation, project management, and business strategy Describe the different types of innovation and the form of project management each require Identify the differences between traditional and innovation project management, especially regarding governance, human resources management challenges, components of an innovative culture and competencies needed by innovation project managers Establish business value and the importance of new metrics for measuring and reporting business value Relate innovation to business models and the skills needed to contribute in the business model development Recognize the roadblocks affecting innovation project management and their cause to determine what actions can be taken Determine the success and failure criteria of an innovation project Foundation Concepts Understanding innovation Role of innovation in a company Differences between traditional (operational) and strategic projects Innovation management Differences between innovation and R&D Differing views of innovation Why innovation often struggles Linking Innovation Project Management to Business Strategy The business side of innovation project management The need for innovation targeting Getting close to the customers and their needs The need for line-of-sight to the strategic objectives The innovation enterprise environmental factors Tools for linking Internal Versus External (Co-creation) Innovation Open versus closed innovation Open innovation versus crowdsourcing Benefits of internal innovation Benefits of co-creation (external) innovation Selecting co-creation partners The focus of co-creation The issues with intellectual property Understanding co-creation values Understanding the importance of value-in-use Classification of Innovations and Innovation Projects Types of projects Types of innovations Competency-enhancing versus competency-destroying innovations Types of innovation novelty Public Sector of Innovation Comparing public and private sector project management Types of public service innovations Reasons for some public sector innovation failures An Introduction to Innovation Project Management Why traditional project management may not work The need for a knowledge management system Differences between traditional and innovation project management Issues with the 'one-size-fits-all' methodology Using end-to-end innovation project management Technology readiness levels (TRLs) Integrating Kanban principles into innovation project management Innovation and the Human Resources Management Challenge Obtaining resources Need for a talent pipeline Need for effective resource management practices Prioritizing resource utilization Using organizational slack Corporate Innovation Governance Types of innovation governance Business Impact Analysis (BIA) Innovation Project Portfolio Management Office (IPPMO) Using nondisclosure agreements, secrecy agreements, confidentiality agreements, and patents Adverse effects of governance decisions Innovation Cultures Characteristics of a culture for innovation Types of cultures Selecting the right people Linking innovation to rewards Impact of the organizational reward system Innovation Competencies Types of innovation leadership The need for active listening Design thinking Dealing with ambiguity, uncertainty, risks, crises, and human factors Value-Based Innovation Project Management Metrics Importance of innovation project management metrics Understanding value-driven project management Differences between benefits and value - and when to measure Traditional versus the investment life cycle Benefits harvesting Benefits and value sustainment Resistance to change Tangible and intangible innovation project management metrics Business Model Innovation Business model characteristics Impact of disruptive innovation Innovation Roadblocks Roadblocks and challenges facing project managers Ways to overcome the roadblocks Defining Innovation Success and Failure Categories for innovation success and failure Need for suitability and exit criteria Reasons for innovation project failure Predictions on the Future of Innovation Project Management The Six Pillars of changing times Some uses for the new value and benefits metrics