35 Courses and Certifications

CloudSwyft Global Systems Inc Courses & Certifications 2024

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Advanced Artificial Intelligence on Microsoft Azure Deep Learning, Reinforcement Learning and Applied AI

FutureLearn’s Advanced Artificial Intelligence on Microsoft Azure Deep Learning, Reinforcement Learning and Applied AI micro-credential programme offers an exam voucher to appear for the Microsoft Azure AI Engineer Associate (AI-100) certification. FutureLearns provides this course in collaboration with Microsoft and employs lab and online classes to facilitate learning. Azure and CloudSwyft power the software used for the lab classes.

The Advanced Artificial Intelligence on Microsoft Azure Deep Learning, Reinforcement Learning and Applied AI is an intermediate course open for undergraduate students. The training with a certificate and professional training in building and implementing state-of-the-art technology with deep learning. The study time allotted for the course is 21 weeks. Students need to pay a programme fee to access the material and certificate of completion.  

Students undergo rigorous projects by using the cloud-computing platform given by CloudSwyft and Microsoft. On completing the Advanced Artificial Intelligence on Microsoft Azure Deep Learning, Reinforcement Learning and Applied AI course, candidates receive a certificate from the organiser- CloudSwyft. The subject-centric approach of the study highlights the professional take, making it ideal for career advancements.

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21 Weeks
53,749
Skills Covered:
Knowledge of Artificial Intelligence Data science knowledge Knowledge of Python Knowledge of deep learning Machine learning Knowledge of NLP Modelling
Certificate

Data Science Fundamentals on Microsoft Azure

The Data Science Fundamentals on Microsoft Azure online course introduces the basics of data science and how to use Microsoft Azure to create AI solutions. The Data Science Fundamentals on Microsoft Azure certification by FutureLearn is designed for beginners who want to learn the foundations of data science and how to apply them in real-world scenarios using Microsoft Azure.

The course consists of four courses that cover different topics and skills related to data science and Microsoft Azure. You will learn about data analysis, data science research design, experimental data analysis and modelling, and Azure for AI. You will also learn how to use various tools and services on Microsoft Azure, such as Azure Machine Learning, Azure SQL Database, Azure Synapse Analytics, and Azure Cognitive Services. Prior knowledge or experience in data science or Microsoft Azure is not mandatory, but one should have a basic knowledge of maths and a willingness to learn through self-paced study. The course is also suitable for professionals who want to enhance their skills or switch careers in the field of data science and AI.

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18 Weeks
Beginner
900
Skills Covered:
Data science knowledge Knowledge of cloud computing
Certificate

Artificial intelligence Design and Engineering with Microsoft Azure

AI Design and Engineering with Microsoft Azure online course teaches the basics of artificial intelligence and how to use Microsoft Azure to create AI solutions. The AI Design and Engineering with Microsoft Azure certification by FutureLearn is suitable for anyone who wants to learn about AI, whether they are beginners or professionals.

The AI Design and Engineering with Microsoft Azure online course covers five main topics: cloud computing concepts, Python programming, conversational AI with Azure Bot Service, machine learning with Azure Machine Learning, and computer vision solutions. Each topic has a separate course that consists of videos, quizzes, exercises, and projects. By completing the course, learners will gain the skills and knowledge to design and engineer AI solutions using Microsoft Azure. They will also be prepared for two certification exams: Microsoft Azure AI Fundamentals (AI-900) and Microsoft Azure AI Engineer Associate (AI-100).

The AI Design and Engineering with Microsoft Azure certification course duration is 17 weeks, with 5-6 hours of study per week. The course level is introductory, so no prior experience in AI or cloud computing is required. The course is a great opportunity for anyone who wants to learn to design and engineer AI solutions using Microsoft Azure.

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17 Weeks
Beginner
900
Skills Covered:
Machine learning Knowledge of Python Knowledge of Artificial Intelligence
Certificate

Artificial Intelligence on Microsoft Azure: Machine Learning and Python Basics

The Artificial Intelligence on Microsoft Azure: Machine Learning and Python Basics programme by FutureLearn is in partnership with Microsoft. This micro-credential programme comes with an exam voucher to appear for the Microsoft Azure AI Fundamentals (AI 900) test and Microsoft Azure AI Engineer Associate (AI-100) certification after completing the course.

With a hands-on experiential module of learning, classes are held online. The module includes live classes that are recorded, and hence, you can view them later. This foundational course in AI and machine learning leverages professional gains to those willing to pursue or shift careers into Data Science. Filled with project-based assessments, boost your employability and stay in sync with industrial changes.

Candidates will work closely with this cloud-computing platform of Microsoft and learn to design and plot AI with Python principles. They can complete the course to receive a certificate from CloudSwyft- the creator of this training programme. The programme offers a comprehensive yet concentrated approach to the subject matter, making it worthwhile.

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15 Weeks
55,659
Skills Covered:
Knowledge of Python Knowledge of Algorithms Mathematical skill Statistical skills Knowledge of Artificial Intelligence
Certificate

Advanced and Applied AI on Microsoft Azure

Advanced and Applied AI on Microsoft Azure online course teaches the use of machine learning and AI to solve real-world problems. Advanced and Applied AI on Microsoft Azure certification by FutureLearn, aims to enhance the understanding of machine learning and AI using Microsoft Azure and Python.

The course covers four topics: Introduction to Machine Learning with Python and Azure Notebooks, Building Machine Learning Models on Azure, Applying Machine Learning and AI Techniques to Solve Business Problems, and Developing an AI Solution with Azure Cognitive Services. Each topic consists of a course that lasts for about four weeks, with 5-6 hours of study per week. Upon completion of the Advanced and Applied AI on Microsoft Azure certification course, a digital certificate is awarded. The course level is intermediate, which requires some prior knowledge of Python and basic statistics.

The course aims to enhance the understanding of machine learning and AI using Microsoft Azure and Python. It also prepares for related exams including Microsoft Azure AI Engineer Associate (AI-100) and Microsoft Azure AI Fundamentals (AI-900)

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15 Weeks
Intermediate
900
Certificate

Applied Data Analysis

The Applied Data Analysis online course is designed to equip learners with the fundamental skills of an effective data analyst. The course covers a wide range of topics to provide learners with a complete overview of data analysis. In the Applied Data Analysis certification by FutureLearn participants will learn how to import data from various sources, create data mashups, and prepare data for analysis.

Moving forward, learners will delve into the world of Power BI for advanced data analysis and visualisation. They will gain insights into connecting to multiple data sources, enhancing data models, exploring data, creating stunning visualisations, and sharing reports and dashboards across the web and mobile devices.

A significant part of the Applied Data Analysis certification course focuses on unpacking statistics for data analysis in Excel. Learners will understand the core principles of statistics, basic probability, random variables, confidence intervals, and hypothesis testing, which are essential skills for any data analyst.

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14 Weeks
Intermediate
900
Skills Covered:
Knowledge of Excel Data Analysis Knowledge of Data Visualization Decision making skills
Certificate

Advanced AI on Microsoft Azure: Ethics and Laws, Research Methods and Machine Learning

Advanced AI on Microsoft Azure: Ethics and Laws, Research Methods and Machine Learning microcredential is an extensive professional certificate covering a whole skill track to assist you in elevating your Artificial Intelligence career to new heights. 

You will explore advanced data research techniques using Python programming language. Also, this course will guide you through ethics and legal frameworks of AI and machine learning concepts. You will learn the design and implementation of AI solutions on the Azure cloud platform by Microsoft. 

With the help of learnings gained by studying the concepts of Advanced AI on Microsoft Azure: Ethics and Laws, Research Methods and Machine Learning course series, you will explore the development of predictive models for AI utilising advanced Azure machine learning. 

The Advanced AI on Microsoft Azure: Ethics and Laws, Research Methods and Machine Learning microcredential will equip you with the necessary knowledge about how to implement data research methods for lawful and ethical work in Artificial Intelligence and analytics.

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12 Weeks
53,749
Skills Covered:
Data science knowledge Knowledge of Artificial Intelligence Machine learning Knowledge of Python
Certificate

Deep Learning on Azure with Python: Reinforcement Learning

The Deep Learning on Azure with Python: Reinforcement Learning programme is aimed at introducing you to reinforcement learning (RL). You will use Python in Microsoft Azure to explore its relevant formal notation and various RL techniques. During this course, you will understand how RL uses Artificial Intelligence (AI) to solve complicated problems that involve numerous decisions.

During the Deep Learning on Azure with Python: Reinforcement Learning certification course, you will also discover how RL is implemented in neural networks to create more refined algorithms. Furthermore, you will study common relational algorithms like temporal difference learning and dynamic programming algorithms. The curriculum will also cover Bandits, Policy Gradient, Approximate Solution Methods, and Actor-Critic RL that Works.

The Deep Learning on Azure with Python: Reinforcement Learning training will make you skilled to implement the RL methods in Microsoft’s Azure Cognitive Services. This six-week-long online course is curated by CloudSwyft Global Systems. You also have the option to receive a course completion certificate at the end of this programme.

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6 Weeks
900
Skills Covered:
Knowledge of Artificial Intelligence Knowledge of deep learning Data science knowledge Knowledge of Algorithms Machine learning
Certificate

Microsoft Future Ready: Principles of Machine Learning with Python Programming

The online programme on Microsoft Future Ready: Principles of Machine Learning with Python Programming by FutureLearn is a part of the ethic law and the process of implementing an AI solution on the Microsoft Azure ExpertTrack course. The course will be held for a duration of five weeks on the online platform.  Upon completing the syllabus the students will learn about the fundamentals of Machine learning and further learn the mechanisms of applying it in the real world domain. The students will be working on two tools namely- Azure and Python. The appearing students will also be working on real-world examples to develop their skills and practice.

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5 Weeks
900
Skills Covered:
Machine learning
Certificate

Deep Learning on Azure with Python: Introduction to Machine Learning

The Deep Learning on Azure with Python certification course is a five-week-long online programme designed to help you develop the critical skills required of a Machine Learning Engineer. You will understand the intricate workings of Deep Learning during this programme. You will also know about the Data Science skills needed to build Machine Learning (ML) models.

Throughout the Deep Learning on Azure with Python online programme offered by FutureLearn, you will explore how ML enables you to build complex systems. Also, you will know about its broad spectrum of applications, including medical diagnosis, self-driving cars, etc.

For building ML models during FutureLearn’s Deep Learning on Azure with Python online course, you will use Microsoft Cognitive Services on the MS Azure cloud platform. Python programming shall be used for this purpose. You will get hands-on experience and a thorough introduction to the field of Machine Learning with practical examples. Moreover, by obtaining the course certificate, you can prove to your future employers that you are job-ready and skilled in this field. 

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5 Weeks
900
Skills Covered:
Knowledge of deep learning Knowledge of Artificial Intelligence Data science knowledge Machine learning Knowledge of Python
Certificate

Microsoft Future Ready: Using Python Programming to Explore the Principles of Machine Learning

A part of FutureLearn's Advanced and Applied AI on Microsoft Azure ExpertTrack; the Microsoft Future Ready certification course aims to help you prepare for the various Microsoft Microcredentials. This is a data science course that runs for five weeks. 

The Microsoft Future Ready certification syllabus has been divided into weeks, steps, and activities you can pursue at your own pace. During this course, you will gain industry-specific knowledge of Python programming and machine learning through theoretical as well as practical experience. 

You will become adept at developing, validating, and deploying different types of machine learning models in the Microsoft Future Ready course. This course will also help you understand complex data relationships using Python and Azure Notebooks to derive insights effectively. 

Besides, once you complete all the steps in the Microsoft Future Ready online course, you'll be eligible for a digital certificate to verify your machine learning knowledge and skills. 

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5 Weeks
900
Skills Covered:
Machine learning
Certificate

AI and Machine Learning Algorithms Using Python

A course in data science, the AI and Machine Learning Algorithms Using Python programme will provide you with a strong foundation in the theories of machine learning. You will learn through practical scenarios and experience the deployment of machine learning models. 

The AI and Machine Learning Algorithms Using Python syllabus will cover the core principles of AI technology like standard regression techniques and ML categories (unsupervised and supervised learning). You will also become adept at understanding how machine algorithms behave and learn.   

Additionally, you will receive practical experience by producing and deploying a machine learning model. This course will teach you how to use Azure Notebooks and Python to extract insights from ML models after they've been deployed. All this will be covered in a span of five weeks. However, you can study the AI and Machine Learning Algorithms Using Python certification programme at a pace convenient to you. Finally, you will receive a digital certificate on successful completion. 

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5 Weeks
900
Skills Covered:
Machine learning
Certificate

Applied Artificial Intelligence: Computer Vision and Image Analysis

In the Applied Artificial Intelligence programme by FutureLearn, you will study all about the Image Analysis techniques and why computer vision is critical to AI projects. This online course will run for four weeks, requiring at least five hours of weekly study. 

From Edge Detection, K-means clustering to Watershed & Distance Transformation, the Applied Artificial Intelligence certification syllabus will cover fundamental classical Image Analysis techniques comprehensively. This exercise will help you increase your knowledge of Image Analysis as used in AI. 

Moreover, the Applied Artificial Intelligence online programme follows a self-paced approach, ensuring you can complete the course steps comfortably. Also, this course is replete with a variety of learning aids, from a 'Progress' page to keep track of your assessment scores to bite-sized videos for easy comprehension. 

You also receive a digital certificate on completing the 'steps' in the Applied Artificial Intelligence course, accredited by Microsoft. Also, the certificate link can be added to your CV or LinkedIn profile.  

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4 Weeks
900
Skills Covered:
Knowledge of Artificial Intelligence
Certificate

Dynamics 365: Using Power Platform Applications

The Dynamics 365: Using Power Platform Applications certification course is based on the Microsoft power platform. The course is also available for free for a limited period. The course helps the participant gain knowledge regarding enhancing the business processes. 

Students who join this course will also learn about building a basic model-driven application, evaluate the components of the platform, etc. Overall the course talks about aspects that can help the participants in their business area. The course does not require any admission fee or limits the participants to attend the classes on time. The programme is a self-paced learning programme that lets the participant choose their own study schedules with no deadlines. 

The Dynamics 365: Using Power Platform Applications certification syllabus is available for a duration of one month. The course material is also available in the course. At the time of completion, students get to attain a certificate for the programme.

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4 Weeks
Skills Covered:
Data science knowledge Knowledge of Data Visualization
Certificate

Microsoft Future Ready: How To Run Containers In A DevOps Production Environment

Within this particular Microsoft Future Ready: How To Run Containers In A DevOps Production Environment online course, the candidates will concentrate on studying how containers will function on the local individual system but unlock an efficient and consistent way to produce applications if they operate it in development.

This is a complete online course under which candidate will learn the entire procedure of the production environment and will learn the significance in the real applicability, they will attain Microsoft Future Ready: How To Run Containers In A DevOps Production Environment certification by the end of the programme, that will give them immense benefits in their upcoming career in this respective field. The Microsoft Future Ready: How To Run Containers In A DevOps Production Environment certification syllabus is divided into mini-modules that will be accompanied by the training receptively.

The course has a specialization in the IT and computer science field. The course will complete within a four-week duration that is primarily set for the course and candidates have to complete the course within that time sphere. There is a certain eligibility criterion that candidates need to clear to get admission in this particular programme.

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4 Weeks
Skills Covered:
Software development skills
Certificate

Microsoft Future Ready: Continuous Integration Implementation

Microsoft Future Ready: Continuous Integration Implementation Certification by FutureLearn is a part of Introduction to DevOps with Microsoft Azure ExpertTrack, which adds the weightage of specialist training to the course. Throughout the course, participants will receive conceptual clarity in topics like continuous delivery, continuous integration, and continuous deployment. They will get a clear understanding of how they all together contribute to productivity and development workflow.

Working on the DevOps development environment will consequently strengthen their knowledge of the working of the above processes in a development environment. This course is accredited and co-created by Microsoft, thus contributing to its academic excellence.  Microsoft Future Ready: Continuous Integration Implementation certification syllabus has been structured in a way to provide learners with an experience of social learning in a global classroom wherein they will share their knowledge and takeaways from this course with an international network of learners.

As candidates work through this course they will be able to track their progress effectively and make use of effective pedagogy to derive the best out of this course. Learners can learn at their own pace and earn a professional certification that will be a great increment to their portfolio.

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4 Weeks
Skills Covered:
Software development skills
Certificate

Microsoft Future Ready: Fundamentals of DevOps and Azure Pipeline

This Microsoft Future Ready: Fundamentals of DevOps and Azure Pipeline certification course is part of the DevOps with Microsoft Azure expert track, and candidates can study the basic concepts and ideas of DevOps, as well as how to apply them. The applicant will develop an overview of the basic DevOps principles through this four-week course, which will help them plan for when they delve further into practical activities. Candidates will use a hands-on approach to improve their understanding of the profession until they have grasped the basics.

They will be able to practice integrating a DevOps pipeline using Microsoft Azure and Visual Studio Team Resources (VSTS) during the Microsoft Future Ready: Fundamentals of DevOps and Azure Pipeline training. Candidates can avail high-quality Microsoft Future Ready: Fundamentals of DevOps and Azure Pipeline certification that will help them to pursue their career more efficiently in the same respective field. The course is accredited and created by Microsoft itself, it’s a complete quality-based training that candidates can attain once getting enrolled on the course. Candidates can avail seven-day free trial to test whether the course is beneficial for them or they can complete the course, afterward they can enroll for it.

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4 Weeks
Skills Covered:
Knowledge of cloud computing
Certificate

Deep Learning on Azure with Python: Introduction to Deep Learning

The Deep Learning on Azure with Python: Introduction to Deep Learning online course is about deep learning in the discipline of Python and Machine learning. The programme is hundred percent online and is available on the website of Future Learn. Participants will be aware of the several types of neural networks, deep learning framework, automating functions. 

The Deep Learning on Azure with Python: Introduction to Deep Learning certification course aims to provide theoretical as well as a practical learning of the course for a better understanding of the concepts. The course can be pursued in the self-paced mode and allows the user to enjoy the liberty of choosing their own study schedules according to their preferences. 

Students are expected to complete the Deep Learning on Azure with Python: Introduction to Deep Learning certification syllabus in one month. If the student spends a minimum of five hours a week, he or she will be able to understand the concepts in the stipulated time. If the student becomes successful in completing the course entirely, he or she will be eligible for a professional certificate of the programme.

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4 Weeks
900
Skills Covered:
Knowledge of Python Machine learning Knowledge of Artificial Intelligence Knowledge of Algorithms
Certificate

Data Query with Transact-SQL with Python

The online course on Data Query with Transact-SQL with Python by Future Learn has been designed by industry professionals. The course will be held entirely on the online platform and will cover the various aspects of Transact-SQL over four weeks. The Data Query with Transact-SQL with Python certification syllabus and module is a part of the Data Science on Microsoft Azure Using Python Programming ExpertTrack. During the course, students will work on real-world modules and applications. The Data Query with Transact-SQL with Python certification benefits the students by providing them with a blended learning model. In this self-paced course, students will also get to access the demonstrations, practical labs, and assignments. After completing the online course, students will get the practical knowledge of Microsoft Azure strengthened. The students in the class will also be covering the chapters of- Error Handling and Transactions, Using Subqueries and APPLY, Using Set Operators, Using Table Expressions, Using Functions and Aggregating Data, and others.

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4 Weeks
900
Skills Covered:
SQL knowledge
Certificate

Essential Mathematics for Data Science and Machine Learning: Using R

The course has been structurally and fundamentally designed to provide the students with a detailed analysis of the chapters that involve the notations used in machine learning and Artificial Intelligence.  The online Essential Mathematics for Data Science and Machine Learning: Using R course will focus on the domain of mathematical concepts pertaining to machine learning. Over the time period of four weeks, the entire Essential Mathematics for Data Science and Machine Learning: Using R certification syllabus will be covered in detail. The students will be provided with assessments so that they can check their progress. Upon completing the programme, the students have their concepts cleared on - Statisticsprobability, vectors, linear algebra, and others.

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4 Weeks
900
Skills Covered:
Mathematical skill
Certificate

Mathematics for Data Science: Essential Mathematics for Machine Learning and AI

The Mathematics for Data Science: Essential Mathematics for Machine Learning and AI certification course is a four-week training that candidates can avail themselves of after enrolling on the programme. The three major branches of mathematics used in computer science and artificial intelligence will be included in this course: linear algebra, calculus, and probability.

From calculations, functions, and graphs to differentiation and optimization, vectors, and matrices, the candidate can study the basic topics in each of these three fields that will be carried out during Mathematics for Data Science: Essential Mathematics for Machine Learning and AI training. The candidate will get to learn the fundamentals of mathematics from the beginner’s level and it doesn’t matter if they have studied mathematics at their school level, the course will begin from the introductory level and will go to the advanced level.

The Mathematics for Data Science: Essential Mathematics for Machine Learning and AI certification will be provided and given to the students in the last as the course gets complete but for that candidates need to complete all the criteria that are set for the course. The certification given will be accredited by Microsoft only to attain high importance in the outer world of AI.

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4 Weeks
900
Skills Covered:
Mathematical skill
Certificate

Microsoft Future Ready: Essential Mathematics for Machine Learning and AI

Microsoft Future Ready: Essential Mathematics for Machine Learning and AI Certification by FutureLearn serves as an excellent online training programme for aspiring AI professionals and machine learning developers. The development of artificial intelligence systems demands a strong command over mathematics and related concepts to excel in the field academically and professionally.

As a primer course that learners can pursue free for a week, it will provide them with the primary lessons that they need. Microsoft Future Ready: Essential Mathematics for Machine Learning and AI certification syllabus will cover the three main branches of mathematics that find their application in artificial intelligence and data science- calculus, probability and linear algebra.

They will get guided learning on all the essential topics of these three areas; ranging from functions, graphs and equations to optimisation, differentiation, matrices and vectors. The learning experience will be highly memorable for learners who can indulge in peer-to-peer interaction, lifelong access and dual learning options. Enthusiastic learners can even go to the course activity page and answer doubts and check which topics are under debate.

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4 Weeks
900
Skills Covered:
Mathematical skill
Certificate

Microsoft Future Ready: Data Query with Transact-SQL (T-SQL)

The Microsoft Future Ready: Data Query with Transact-SQL (T-SQL) certification course is an online programme that allows the users to take up the programme in a self-paced mode. Students do not have to worry about the deadlines for attendance or timings of the course. The course will discuss the aspects of Transact SQL, databases, etc.

The Microsoft Future Ready: Data Query with Transact-SQL (T-SQL) online course lets the participant gain information on SELECT statements and the usage of Transact SQL in the programme. The course includes several distinct modules that are discussed separately and include a key concept related to the subject matter.

Each topic is given enough time to learn from and students can complete the certificate in the time period of one month. Students will get to assess their learnings of the programme through the assessments available in the study material of the programme. Participants get a professional certificate if they complete the lessons and assessments of the programme successfully.

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4 Weeks
900
Skills Covered:
Programming skills Database Management SQL knowledge
Certificate

Dynamics 365: Customer Engagement for Sales

Dynamics 365 Sales empowers salespeople to develop strong client relationships, act on insights, and close deals more quickly. Using Dynamics 365 Sales is used to track accounts and contacts, nurture sales from lead to order, and generate collateral sales and also capable of creating marketing lists and campaigns and monitoring service cases related to particular accounts or opportunities. Dynamics 365: Customer Engagement for Sales certification course is developed by CloudSwyft Global Systems accredited by Microsoft which is made available by FutureLearn.

Dynamics 365: Customer Engagement for Sales online training comprises three weeks of learning resources with a weekly study of five hours, which focuses on providing participants with a detailed understanding of the significance of customer relationship management and how it may foster client loyalty and increase customer retention.  Dynamics 365: Customer Engagement for Sales online syllabus covers topics such as playbooks, embedded intelligence, sales, analytics, insights, configuring sales, integrated sales tools, and more. 

...Read More
3 Weeks
Skills Covered:
Sales skills

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