172 Managed Learning Programme (MLP) courses

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In this competitive job market, you need to have some specific skills and knowledge to start your career and establish your position. This Machine Learning Project - Auto Image Captioning for Social Media will help you understand the current demands, trends and skills in the sector. The course will provide you with the essential skills you need to boost your career growth in no time. The Machine Learning Project - Auto Image Captioning for Social Media will give you clear insight and understanding about your roles and responsibilities, job perspective and future opportunities in this field. You will be familiarised with various actionable techniques, career mindset, regulations and how to work efficiently. This course is designed to provide an introduction to Machine Learning Project - Auto Image Captioning for Social Media and offers an excellent way to gain the vital skills and confidence to work toward a successful career. It also provides access to proven educational knowledge about the subject and will support those wanting to attain personal goals in this area. Learning Objectives Learn the fundamental skills you require to be an expert Explore different techniques used by professionals Find out the relevant job skills & knowledge to excel in this profession Get a clear understanding of the job market and current demand Update your skills and fill any knowledge gap to compete in the relevant industry CPD accreditation for proof of acquired skills and knowledge Who is this Course for? Whether you are a beginner or an existing practitioner, our CPD accredited Machine Learning Project - Auto Image Captioning for Social Media is perfect for you to gain extensive knowledge about different aspects of the relevant industry to hone your skill further. It is also great for working professionals who have acquired practical experience but require theoretical knowledge with a credential to support their skill, as we offer CPD accredited certification to boost up your resume and promotion prospects. Entry Requirement Anyone interested in learning more about this subject should take this Machine Learning Project - Auto Image Captioning for Social Media. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. The course is open to students from any academic background, as there is no prerequisites to enrol on this course. The course materials are accessible from an internet enabled device at anytime of the day. CPD Certificate from Course Gate At the successful completion of the course, you can obtain your CPD certificate from us. You can order the PDF certificate for £9 and the hard copy for £15. Also, you can order both PDF and hardcopy certificates for £22. Career path The Machine Learning Project - Auto Image Captioning for Social Media will help you to enhance your knowledge and skill in this sector. After accomplishing this course, you will enrich and improve yourself and brighten up your career in the relevant job market. Course Curriculum Section 01: Introduction Introduction to Course 00:05:00 Section 02: Building the Auto Image Captioning Import the Libraries 00:09:00 Accessing the Caption Dataset for Training 00:05:00 Accessing the Image DataSet for Training 00:02:00 Preprocessing the Text Data 00:11:00 Pre-Process and Load Captions Data 00:11:00 Loading the Captions for Training and Test Data 00:04:00 Preprocessing of Image Data 00:11:00 Loading Features for Train and Test Dataset 00:09:00 Text Tokenization and Sequence Text 00:11:00 Data Generators 00:11:00 Define the Model 00:03:00 Evaluation of Model 00:09:00 Test the Model 00:08:00 Section 03: Deployment of Machine Learning App Create Streamlit App 00:10:00 Streamlit Prediction 00:06:00 Test Streamlit App 00:03:00 Deploy Streamlit on AWS EC2 Instance 00:09:00 Certificate and Transcript Order Your Certificates or Transcripts 00:00:00

24 Hours Left! Don't Let Year-End Deals Slip Away - Enrol Now! Are you fascinated by the mysteries of Marine Biology that lie beneath the ocean's surface? Do you dream of exploring vibrant coral reefs, studying majestic marine creatures, and understanding the delicate balance of aquatic ecosystems? If so, then our Marine Biology Advanced Diploma is the perfect opportunity for you to turn your passion for the ocean into a fulfilling career. This Diploma in Marine Biology at QLS Level 5 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 150 CPD points). Learning Outcome of Marine Biology Course: Understand Marine ecosystems and their dynamics. Identify and describe Marine organisms, from microbes to vertebrates. Recognise the significance of the Marine Biology & Marine environment as a habitat. Comprehend key ecological concepts, such as food chains and webs in Marine Biology. Acknowledge the negative impact of human activities on marine life. Acquire knowledge about marine conservation efforts and strategies. Why Choose Our Marine Biology Course: Opportunity to earn a certificate endorsed by the Quality Licence Scheme & another accredited by CPDQS which is completely free. Get instant access to this Marine Biology course. Learn Marine Biology from anywhere in the world Marine Biology is affordable and simple to understand Marine Biology is entirely online, interactive lesson with voiceover audio Lifetime access to the Marine Biology course materials Marine Biology comes with 24/7 tutor support Marine Biology Advance Diploma Start your learning journey straight away with this Marine Biology course and take a step toward a brighter future! *** Course Curriculum of Marine Biology*** Here is the curriculum breakdown of the Marine Biology course: Module 01: Introduction to Marine Biology Module 02: The Ocean Module 03: The Ocean as a Habitat Module 04: Characteristics of the Marine Environment Module 05: Marine Life Module 06: Marine Microbes Module 07: Marine Invertebrates Module 08: Marine Vertebrates Module 09:Marine Populations and Communities Module 10: Marine Ecology Module 11: Food Chains and Food Webs Module 12: Damaging Impact of Human Activities on Marine Life Module 13: Marine Conservation Assessment Process of Marine Biology You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. After passing the Diploma in Marine Biology at QLS Level 5 course exam, you will be able to request a certificate at an additional cost that has been endorsed by the Quality Licence Scheme. CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is this Marine Biology Course Right for You? Anyone interested in learning more about this subject should take this Marine Biology course. This course will help you grasp the basic concepts as well as develop a thorough understanding of the subject. Requirements Marine Biology Anyone from any background can enrol in this Marine Biology Diploma. There are no requirements to enrol in this Marine Biology Diploma Career path Marine Biology After completing this Marine Biology course, you are to start your career or begin the next phase of your career in this field. Certificates Certificate of completion Digital certificate - £10 Diploma in Marine Biology at QLS Level 5 Hard copy certificate - £119 Show off Your New Skills with a Certificate of Completion After successfully completing the Diploma in Marine Biology at QLS Level 5, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 119 GBP inside the UK 129 GBP (including postal fees) for International Delivery Certificate Accredited by CPDQS 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)

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Duration 1 Days 6 CPD hours Additional course details: Nexus Humans MicroKnowledge Training 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 MicroKnowledge Training 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 This course is intended for managers and supervisors engaged in working with the Millennial generation workforce. Overview Upon successful completion of this course, participants will be able to define onboarding, discuss the characteristics of Millennials, and develop action plans for working with them. In this course, participants will learn to build an onboarding process that recognizes the challenges and strengths of the Millennial workforce. Getting Started Workshop Objectives Action Plan Purpose of Onboarding Start Up Costs Employee Anxiety Employee Turnover Realistic Expectations Practical Illustration Introduction Why Onboarding? Importance of Onboarding Making Employees Feel Welcome First Day Checklist Practical Illustration Millennials and Onboarding Who are Millennials? How Do Millennials Differ from Other Workers? Investiture Socialization ? Let Them Be Themselves! Informal Rather than Formal Onboarding Processes Practical Illustration Onboarding Checklist Pre-Arrival Arrival First Day First Week First Month Practical Illustration Engaging the Millennial Employee Create an Informal Program Engage Employees One-on-one The Role of Human Resources The Role of Managers Practical Illustration Following Up with the Millennial Employee Initial Check-In ? One-on-one Following up ? Regular, Informal Follow Ups Setting Schedules ? Millennials and Work-Life Mentoring and the Millennial Practical Illustration Setting Expectations with the Millennial Employee Define Requirements ? Provide Specific Instructions Identify Opportunities for Improvement and Growth Set Verbal Expectations Put It in Writing Practical Illustration Mentoring the Millennial Be Hands-On and Involved Serial Mentoring Be a Mentor, Not an Authority Figure Focus Millennia?s Exploratory Drive on Work Practical Illustration Assigning Work to the Millennial Employee Provide Clear Structure and Guidelines Provide Specific Benchmarks Set Boundaries and Provide Reality Checks Practical Illustration Providing Feedback Millennials Thrive on Feedback! Characteristics of Quality Feedback Informal Feedback Formal Feedback Practical Illustration Wrapping Up Words From the Wise Additional course details: Nexus Humans Millennial Onboarding 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 Millennial Onboarding 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 Software Engineers Overview The objective of this course is to learn the key language concepts to machine learning, Spark MLlib, and Spark ML. This course will teach you the key language concepts to machine learning, Spark MLlib, and Spark ML. The course includes coverage of collaborative filtering, clustering, classification, algorithms, and data volume. This course will teach you the key language concepts to machine learning, Spark MLlib, and Spark ML. The course includes coverage of collaborative filtering, clustering, classification, algorithms, and data volume.

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.

Duration 2 Days 12 CPD hours This course is intended for This course benefits individuals responsible for configuring and monitoring devices running the Junos OS. Overview Describe the history and rationale for MPLS, as well as its basic terminology. Explain the MPLS label operations (push, pop, swap) and the concept of label-switched path (LSP). Describe the configuration and verification of MPLS forwarding. Describe the functionalities and operation of RSVP and LDP. Configure and verify RSVP-signaled and LDP-signaled LSPs. Select and configure the appropriate label distribution protocol for a given set of requirements. Describe the default Junos OS MPLS traffic engineering behavior. Explain the Interior Gateway Protocol (IGP) extensions used to build the Traffic Engineering Database (TED). Describe the Constrained Shortest Path First (CSPF) algorithm, its uses, and its path selection process. Describe administrative groups and how they can be used to influence path selection. Describe the default traffic protection behavior of RSVP-signaled LSPs. Explain the use of primary and secondary LSPs. Describe the operation and configuration of fast reroute. Describe the operation and configuration of link and node protection. Describe the operation and configuration of LDP loop-free alternate. Describe the LSP optimization options. Explain LSP priority and preemption. Describe the behavior of fate sharing. Describe how SRLG changes the CSPF algorithm when computing the path of a secondary LSP. Explain how extended admin groups can be used to influence path selection. Explain the purpose of several miscellaneous MPLS features. This two-day course is designed to provide students with a solid foundation on Multiprotocol Label Switching (MPLS). Course Outline Course Introduction MPLS Fundamentals MPLS Foundation Terminology MPLS Configuration MPLS Packet Forwarding Label Distribution Protocols Label Distribution Protocols RSVP LDP Routing Table Integration Mapping Next-Hops to LSPs Route Resolution Example Route Resolution Summary IGP Passive Versus Next-Hop Self for BGP Destinations Constrained Shortest Path First RSVP Behavior Without CSPF CSPF Algorithm CSPF Tie Breaking Administrative Groups Inter-area Traffic Engineered LSPs Traffic Protection and LSP Optimization Default Traffic Protection Behavior Primary and Secondary LSPs Fast Reroute RSVP Link Protection LDP LFA and Link Protection LSP Optimization Fate Sharing Junos OS Fate Sharing SRLG Extended Admin Groups Miscellaneous MPLS Features Forwarding Adjacencies Policy Control over LSP Selection LSP Metrics Automatic Bandwidth Container LSPs TTL Handling Explicit Null Configuration MPLS Pings

Duration 2 Days 12 CPD hours This course is intended for This course benefits individuals responsible for configuring and monitoring devices running the Junos OS. Course Level : Junos Layer 2 VPNs (JL2V) is an advanced-level course. Overview Define the term virtual private network. Describe the business drivers for MPLS VPNs. Describe the differences between Layer 2 VPNs and Layer 3 VPNs. List advantages for the use of MPLS Layer 3 VPNs and Layer 2 VPNs. Describe the roles of a CE device, PE router, and P router in a BGP Layer 2 VPN. Explain the flow of control traffic and data traffic for a BGP Layer 2 VPN. Configure a BGP Layer 2 VPN and describe the benefits and requirements of over-provisioning. Monitor and troubleshoot a BGP Layer 2 VPN. Explain the BGP Layer 2 VPN scaling mechanisms and route reflection. Describe the Junos OS BGP Layer 2 VPN CoS support. Describe the flow of control and data traffic for an LDP Layer 2 circuit. Configure an LDP Layer 2 circuit. Monitor and troubleshoot an LDP Layer 2 circuit. Describe the operation of FEC 129 BGP autodiscovery for Layer 2 VPNs. Configure a FEC 129 BGP autodiscovery Layer 2 VPN. Monitor and troubleshoot a FEC 129 BGP autodiscovery for Layer 2 VPNs. Describe the difference between Layer 2 MPLS VPNs and VPLS. Explain the purpose of the PE device, the CE device, and the P device. Explain the provisioning of CE and PE routers. Describe the signaling process of VPLS. Describe the learning and forwarding process of VPLS. Describe the potential loops in a VPLS environment. Configure BGP, LDP, and FEC 129 BGP autodiscovery VPLS. Troubleshoot VPLS. Describe the purpose and features of Ethernet VPN. Configure Ethernet VPN. Monitor and troubleshoot Ethernet VPN. Describe the Junos OS support for hierarchical VPN models. Describe the Junos OS support for Carrier-of-Carriers VPN Option C. Configure the interprovider VPN Option C. Describe the Junos OS support for multisegment pseudowire for FEC 129. Describe and configure circuit cross-connect (CCC). This two-day course is designed to provide students with MPLS-based Layer 2 virtual private network (VPN) knowledge and configuration examples. Course IntroductionMPLS VPNs MPLS VPNs Provider-Provisioned VPNs BGP Layer 2 VPNs Overview of Layer 2 Provider-Provisioned VPNs BGP Layer 2 VPN Operational Model: Control Plane BGP Layer 2 VPN Operational Model: Data Plane Preliminary BGP Layer 2 VPN Configuration BGP Layer 2 Configuration Monitoring and Troubleshooting BGP Layer 2 VPNs Lab: BGP Layer 2 VPNs Layer 2 VPN Scaling and CoS Review of VPN Scaling Mechanisms Layer 2 VPNs and CoS LDP Layer 2 Circuits LDP Layer 2 Circuit Operation LDP Layer 2 Circuit Configuration LDP Layer 2 Circuit Monitoring and Troubleshooting FEC 129 BGP Autodiscovery Layer 2 Circuit Operation FEC 129 BGP Autodiscovery Layer 2 Circuit Configuration FEC 129 BGP Autodiscovery Monitoring and Troubleshooting Virtual Private LAN Services Layer 2 MPLS VPNs Versus VPLS BGP VPLS Control Plane BGP VPLS Data Plane Learning and Forwarding Process Loops VPLS Configuration VPLS Configuration VPLS Troubleshooting Ethernet VPN (EVPN) EVPN Overview EVPN Control Plane EVPN Operation EVPN Configuration EVPN Troubleshooting