4013 Courses and Certifications

Online IT Software Courses & Certifications

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Certificate

Managing Security in Google Cloud Platform

Google Cloud offers the intermediate-level Managing Security in Google Cloud Platform certification course. The course is for candidates interested in the study of security controls and techniques on the Google Cloud Platform. The course is a part of multiple programmes and is taught by top instructors in Coursera. Completing this course will help the candidates in learning two programmes with tangible career benefits: Google Cloud Security Professional Certificate and Security in Google Cloud Platform Specialisation. 

The Managing Security in Google Cloud Platform online programme will help the participants understand and learn about the components of a secure GCP solution. It includes the GDP Resource Manager, Google Virtual Private Cloud firewalls, Cloud IAM, Cloud CDN, Google Cloud load balancing, Stackdriver, security keys, and customer-supplied encryption keys. The candidates will successfully learn mitigations for infrastructure along with phishing attacks, Distributed Denial-of-service attacks, and threats involving content classification and use. 

Coursera’s Managing Security in Google Cloud Platform course has five modules, each with module quizzes. It has multiple pre-recorded lectures, demonstrations, and hands-on labs. The course takes approximately Seven hours to complete. 

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5 Weeks
Intermediate
1,699
Skills Covered:
Knowledge of cloud computing
Certificate

IT Infrastructure and Emerging Trends

The IT Infrastructure and Emerging Trends is offered by the University of Minnesota on the online education platform Coursera. This course is a study about the basics of IT trends that equips the executives with the knowledge of the digital technologies to excel in the business world. It is scheduled for five weeks which consists of eight hours worth of course materials in total and the course is instructed by Associate Professor Soumya Sen s from Carlson School of Management, Information and Decision Sciences. 

The IT Infrastructure and Emerging Trends provides an overview of the emerging trends in the information technology sector such as the mobile, cloud, security and blockchains. This introductory level course on information technology helps the candidates understand the nuances in the technologies and new principles associated with IT and information systems that drive the business organisations to improve their strategies and counter the technical risks and problems.

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5 Weeks
Beginner
1,699
Skills Covered:
Knowledge of cloud computing Knowledge of Cryptography Knowledge of IT industry Business sense Knowledge of Blockchain Managerial skill
Certificate

Digital Thread: Implementation

5 Weeks
Beginner
4,117
Introduction to Haptics

Offered by

Certificate

Introduction to Haptics

Haptic devices are mechanical devices that let the users feel, touch, and control objects in remote or virtual environments. The Introduction to Haptics certification course aims to teach you about haptic technology in detail. You will develop a sense of awareness about the abilities and weaknesses of the human touch, along with learning how to build these mechatronic devices.

Through the learnings of the Introduction to Haptics online programme, you will acquire pragmatic cross-disciplinary engineering skills connected to mechanical engineering, bioengineering, robotics, computer science, and electrical engineering. This course developed by Stanford Online will help you comprehend the linkage between equations that explain physical interplay and how they feel.

The Introduction to Haptics training also offers online quizzes to test your understanding of the concepts. You also have the option to participate in laboratory assignments by using/building a ‘Hapkit.’ This practical approach will give you hands-on experience in testing haptic projects, making circuits, and putting mechanical systems together. 

Edx offers 2 varied tracks which can be used to opt into the course and then they shall be given access either for a limited period of time or the access offered may be unlimited. In the case where the students want unlimited access, they will have to choose the verified track and where they want limited access for free they will have to select the audit track.

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5 Weeks
Beginner
Skills Covered:
Robotic skills Knowledge of engineering
Certificate

Introduction to Blockchain Technologies

The Introduction to Blockchain Technologies programme by Coursera will familiarise you with the essential skills and principles of Blockchain technology. Coursera offers the certification course in association with the world’s leading business school – INSEAD. 

The Introduction to Blockchain Technologies course primarily covers the fundamentals of Blockchain technology and strengthens your understanding, as well as the knowledge, of why the technology has become so revolutionary. Furthermore, the course commences with understanding the limitations of the use of the internet in business and other economic activity. 

The Introduction to Blockchain Technologies online course further enhances the essential concepts of Blockchain such as mining, public-key cryptography, proof-of-work, hashing, and double-spend problems. The online course also covers the common challenges faced during the development of Blockchain and the seven fundamental design principles of the technology. 

Besides, a certification in Blockchain also provides a unique opportunity to meet the key players who work in the Blockchain environment. Therefore, the Introduction to Blockchain Technologies course will not only equip you with skills to thoroughly understand the concept of Blockchain but also, to teach others about the technology with ease. 

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5 Weeks
Beginner
13,514
Skills Covered:
Knowledge of Blockchain
Certificate

Introduction to Blockchain for Financial Services

The online course, Introduction to Blockchain for Financial Services by Coursera, is an introductory primer for blockchain technology. It is the first course of the four-part Blockchain Revolution in Financial Services Specialisation programme, offered by INSEAD, which is the world’s leading business school. This course aims to explain the various Internet limitations and how blockchain can act as a revolutionary medium to change the way we network and transact. 

The Introduction to Blockchain for Financial Services online course will introduce learners to key concepts like the Internet’s drawbacks when used for business, how Blockchain can overcome these, Blockchain’s design principles, and its ecosystem. Further, students will learn about how Blockchain uses code to establish trust.

The Introduction to Blockchain for Financial Services programme is offered by Coursera and presents students with the opportunity to gain knowledge, firsthand from industry experts. The syllabus consists of five modules, one for each week. Students will get access to pre-recorded video lectures, numerous practice assignments, and readings, that will help them learn at their own pace. Upon satisfactory completion, they will also earn a shareable e-certificate to showcase their learned skills. 

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5 Weeks
Beginner
13,514
Skills Covered:
Knowledge of Blockchain
Blockchain Foundations and Use Cases

Offered by

Certificate

Blockchain: Foundations and Use Cases

This training course Blockchain: Foundations and Use Cases offered by ConsenSys Academy is the ultimate prologue of blockchain, a startup apparatus, for all types of the audience; be them developers, or non-developers. Apart from technology, this course is also going to throw light on the philosophies and doctrines behind decentralization, and the reasons behind the buzz created by it.

Throughout the initial three modules, the learners will have an introduction to blockchain, as well as the technology used behind it. The level of learning will be raised in the fourth module, as the learners will move past bitcoin, and dig deeper and learn about the blockchain of next generation, Ethereum. This will act as an introduction to modern blockchains and their capabilities, to the candidates.

The use cases appearing in the last module are real-time manifestations, which are taken from the businesses in the startup portfolio of ConsenSys’. We feel that we are perfectly positioned and suited to introduce you, to provide you with relevant as well as helpful backstage views at the companies and people employed in this domain to aid you in having a proper and superior understanding of the commerce side of blockchains.

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5 Weeks
Beginner
Free
Skills Covered:
Knowledge of Blockchain

Offered by

Certificate

Developing AI Applications on Azure

The Developing AI Applications on Azure certification by Coursera will equip users to create and work on an Azure Machine Learning Workspace, all to create their models and test run them on the cloud. 

The learners delve into algorithms, types of machine learning. They’ll learn the practical applications of Python for machine learning solutions, as well as certain scientific ecosystem packages which will help you implement machine learning. Along with standardized approaches to data analytic, they’ll learn Microsoft's Team Data Science Approach. 

Another perk of the Developing AI Applications on Azure certification course is that the learners will familiarize themselves with pre-trained and managed machine learning which is offered as REST API's in their suite of cognitive services. Other concepts include facial recognition API, sentiment analysis with the natural language service, implementation of solutions via the computer vision API. 

Created by Learnquest and available on Coursera, the Developing AI Applications on Azure certification course will take the learners through Artificial Intelligence, Machine learning, Data Analytics, Python programming, etc. Hands-on exercises will polish the AI skills of candidates and also equip them to deploy their machine learning models.

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5 Weeks
Expert
Free
Skills Covered:
Knowledge of Python Data science knowledge Knowledge of cloud computing
Building AI Applications with Watson APIs

Offered by

Certificate

Building AI Applications with Watson APIs

The Building AI Applications with Watson APIs programme certification by Coursera will equip the learner with the skills to create applications that can leverage multiple Watson AI services (Discovery, Assistant, Speech to Text, and Text to Speech). They’ll become proficient in incorporating Watson services as well as in building interactive data retrieval systems with Discovery + Assistant.

The Building AI Applications with Watson APIs certification course which is developed by IBM and offered in the Coursera platform, gives the candidates exposure towards learning varied skills namely, Chatbot, Watson AI, Machine Learning, Python Programming and Artificial Intelligence. The programme is imparted through different ways namely videos, assignments, quizzes, recorded content and exercises. 

The Building AI Applications with Watson APIs certification by Coursera enables candidates to learn the best practices prevailing in the industry for combining Watson services via Watson Assistant and Watson Discovery. 

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5 Weeks
Intermediate
3,202
Skills Covered:
Computer skills

Offered by

Certificate

Artificial Intelligence Certification Course

Edureka's Artificial Intelligence Certification Course guides a candidate step by step to nlp and text analytics using python's programming language. Anyone working with text and data and little knowledge of python programming language can take up this course. However, they provide a complimentary course to brush up skills on python programming.

Nlp is a form of artificial intelligence which has a great significance on the way humans and computers interact. This course has a lot of practical situations where candidates can apply what they have learnt. Topics such as text processing, semantics analysis, machine learning and other such topics have been discussed.

Their syllabus is designed in such a manner that they take a candidate through all the important concepts which are required while applying the learning of nlp. It discusses real life problems, and after this course one can build their own machine learning model for text classification.

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5.5 Weeks
19,995
Skills Covered:
Knowledge of Python
Certificate

Data Ethics, AI and Responsible Innovation

This story-driven course of Data Ethics, AI, and Responsible Innovation by edX will be taught to the candidates by the experts leading in the field of data science, science and technology studies, innovation, and responsible research with the help of various case studies. The candidates will be taught to look at the original controversies in the world and challenges related to ethical issues possessed by large data. The candidates will be able to understand the complexities and realities by making an ethical decision with a competing interest.

The candidates will interact with predictive policing, and human autonomy and will get to know about the emerging new approaches in the industry to develop their understanding related to all of the concepts (Artificial Intelligence). The candidates will get experienced instructors like Ewa Ludger, Burkhard Schafer, and Morgan Currie from the University of Edinburgh.

The duration of the Data Ethics, AI, and Responsible Innovation certification by Edx is 5 weeks and 3-4 hours of weekly effort needed by the candidate. The video transcript of the Data Ethics, AI, and Responsible Innovation certification course will be in English and the level of teaching will be intermediate. One can find two tracks - audit and verified track which if enrolled into will offer course access. The audit track offers free limited access to the course only for a specific period. On the other hand, the candidates will get verified track access for a lifetime by only paying some amount of money.

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5 Weeks
Intermediate
Skills Covered:
Data science knowledge
Artificial Intelligence Fundamentals for Non-Data Scientists

Offered by

Certificate

AI Fundamentals for Non-Data Scientists

AI Fundamentals for Non-Data Scientists is an online certification course that helps non-data scientists to get familiar with the fundamental concepts of artificial intelligence. The course can be taken by anyone interested in exploring artificial intelligence and can be easily finished within about 9 hours. AI Fundamentals for Non-Data Scientists Certification Syllabus provide the learners with a sheer glance into the basics of machine learning and artificial intelligence. 

The AI Fundamentals for Non-Data Scientists Certification Course, administered by Coursera, will also provide the learners with a shareable certification at the end of the online course. During the online programme, the learners will also have the opportunity to watch and understand the exclusive interview with industry leaders of reputed companies. AI Fundamentals for Non-Data Scientists Certification by Coursera, offered by the University of Pennsylvania, is the first course in the four programmes of AI For Business Specialization. 

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5 Weeks
1,699
Skills Covered:
Knowledge of Artificial Intelligence Financial Management
Artificial Intelligence in Practice Preparing for Artificial Intelligence

Offered by

Certificate

AI in Practice: Preparing for AI

5 Weeks
Intermediate
Free
Artificial Intelligence in Practice Applying Artificial Intelligence

Offered by

Certificate

Cloud Computing Concepts, Part 1

Cloud Computing Concept is one of the major courses in the Cloud Computing Specialization. It is a one stop destination for someone who needs to learn about the whole Cloud Computing System. Offered by Illinois, this programme is ideally for those candidates who possess knowledge and experience of C++ language programming. This Cloud Computing Concepts, Part 1 training course is highly organised into weekly lectures to ease the syllabus and help learners to learn easily through practical assignments and different reading classes. Learners also learn various skills such as Distributed algorithms, C++ Advanced, Cloud Computing and Distributed Computing. 

With proper description of the topics, the Cloud Computing Concepts, Part 1 certification course also provides basic knowledge of Cloud Computing Concepts. It’s very convenient for learners to start their career in Cloud Computing from scratch. This course also gives an overview and home assignments in every week’s classes for learners to understand better. The programme gives an e-certificate to the candidates on the completion of the programme which can be further shared via different platforms namely, LinkedIn and others. 

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5 Weeks
Beginner
3,369
Skills Covered:
C++ Knowledge of Algorithms Knowledge of cloud computing
IBM Cloud Essentials

Offered by

IBM via Edx
Certificate

IBM Cloud Essentials

IBM Cloud Essentials certification course covers the basic tenets of IBM cloud. The students in the session will be learning about the many offerings and the services that are available on IBM cloud, making it more secure and accessible to the public along with the enterprises and developers. 

IBM Cloud Essentials online course with the introduction of IBM as a platform goes on to cover topics that include- configuring identity, data center locations, and access management. The students will be further discovering the various infrastructure-as-a-service (IaaS) functions that are available on the platform. The programme will also teach the students about the deployment method including- Kubernetes, Containers, and OpenShift. After completing the IBM Cloud Essentials training certification course students will become familiar with services that include- Watson blockchain, databases, blockchain, artificial intelligence, and others. will make the students efficient cloud practitioners and will help them to develop skills as architects. 

edX has two separate kinds of tracks which may be opted for by the candidates to complete the course. Both the tracks are self-paced but during the verified track, the candidates may see and learn the course for a lifetime by paying some fee. To access the audit track, nothing is charged but the materials will only be accessible for a certain fixed period.

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5 Weeks
Beginner
Skills Covered:
Knowledge of cloud computing

Offered by

Certificate

Elastic Google cloud infrastructure: scaling and automation

The Elastic Google cloud infrastructure: Scaling and automation course by Coursera has been designed for computer enthusiasts who wish to know more about the comprehensive infrastructure of Google Cloud, along with its many platform services. The course is meant for those who are familiar with the fundamentals of Cloud and wish to learn further. 

The Coursera Elastic Google cloud infrastructure course explores and uses solution elements, that also include load balancing, securely interconnecting networks, infrastructure automation, auto-scaling and managed services. It dives deep into these processes to give a holistic experience about Google cloud and its various elements. 

Furthermore, the Coursera Elastic Google cloud infrastructure: Scaling and automation programme is an online, self-paced learning course allowing students to set convenient deadlines and learn at their speed. You will be learning through a combination of video lectures, demos, and hands-on lab experience to become skilled in the services and performance of Google Cloud.

...Read More
5 Weeks
Intermediate
1,699
Skills Covered:
Knowledge of cloud computing

Offered by

Certificate

API Design and Fundamentals of Google Cloud's Apigee API Platform

Application Programming Interface (API) can ensure a faster code. Thus, it is necessary to have consistently designed APIs. This course named, “API Design and Fundamentals of Google Cloud’s Apigee API Platform” is the first one from the three-course series, and is thus an important foundation. 

The API Design and Fundamentals of Google Cloud’s Apigee API Platform course of Coursera introduces you to API Design and the fundamentals of the Apigee platform. The second course is aimed at API security. The third and the last one focuses on the additional API developmental topics. 

Here you will be taught how to design APIs and the best ways you can utilize OpenAPI specifications to document them. You will learn about the aspects of the API lifecycle, and understand how the Apigee API platform assists you in managing all the facets of the life cycle. You will also learn how the APIs can be designed by using API provides and how APIs are encased as products that can be further used by app developers.

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5 Weeks
Beginner
1,699
Skills Covered:
Knowledge of cloud computing

Offered by

Certificate

Exploring Data Transformation with Google Cloud

5 Weeks
Beginner
3,277
How to Win a Data Science Competition Learn from Top Kagglers

Offered by

Certificate

How to Win a Data Science Competition: Learn from Top Kagglers

The How to Win a Data Science Competition: Learn from Top Kagglers online course is a part of Coursera’s Advanced Machine Learning Specialisation. It is a course in the Data Analysis domain and undertaking this course will help you push your limits, and boost your career in data science

The Coursera How to Win a Data Science Competition Course is not a basic machine learning programme. It trains you to get a head-up on your competitors and get high-rank solutions. It gives you a better understanding of practical applications of machine learning methods. 

How to Win a Data Science Competition: Learn from Top Kagglers certification course has a plethora of expert professors and research data scientists who will teach you for the duration of this course. It is offered by the National Research University Higher School of Economics which is one of the top research universities in Russia. You will earn a shareable certificate upon completion, and you can share your skills in data science. 

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5 Weeks
Expert
3,686
Skills Covered:
Predictive Modeling knowledge
Applied Data Science Capstone

Offered by

Certificate

Applied Data Science Capstone

The Applied Data Science Capstone course is a great course to understand the working life of a data scientist through hands-on and practical training. You will be exposed to a host of processes and applications such as learning about location data and data providers like Foursquare and making RESTful API calls to retrieve data from Foursquare API. 

If you do not have access to readily available data, the Applied Data Science Capstone online course will teach you how to scrape web data and parse HTML code. You will be able to refine your exploring and data analysing skills using Python and its panda libraries. Finally, to communicate your results and findings, you will use the Folium library and access maps of geospatial data.  

Applied Data Science Capstone certification can be audited for free. The course is offered by IBM and will be taught by Alex Aklson. The course also provides certification and financial support if you cannot pay the programme fee. 

...Read More
5 Weeks
Intermediate
3,384
Skills Covered:
Data science knowledge Knowledge of Python

Offered by

Swiss Federal Institute of Technology Lausanne , Databricks via Coursera
Certificate

Applied Data Science for Data Analysts

Applied Data Science for Data Analysts is an online Databricks-offered programme designed for intermediate-level learners. The online certification is the final course in the three-course Data Science with Databricks for Data Analysts Specialization. Thus, to be eligible for taking the online programme, the learners must have completed the first two courses in the specialization. Applied Data Science for Data Analysts Certification Course, provided jointly by Coursera and Databricks, will help the learners to enrich their data science, and applied data science with python and machine learning skills and help the student to become masters of applied data science. 

The learners passionate about learning about apple data science can enrol and complete the Applied Data Science for Data Analysts Training within approximately 16 hours. As the Applied Data Science for Data Analysts Certification by Coursera is completely offered in the online mode, the candidates can opt for the programme at their convenience and pace from anywhere. 

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5 Weeks
Intermediate
4,091
Skills Covered:
Machine learning Data science knowledge
Cybersecurity Compliance Framework and System Administration

Offered by

Certificate

Cybersecurity Compliance Framework & System Administration

In this data-driven world, cybercrimes are not unknown to anybody. Cyber offenders seamlessly carry out crimes beyond jurisdictions and on an online interface that is likely to trap anybody. Thus, cybersecurity mandates prove to be a golden weapon at the hands of companies and organisations with huge and sensitive databases. Cybersecurity professionals need to be a step further than offenders and henceforth require holistic knowledge of concepts. 

Cybersecurity Compliance Framework & System Administration Certification by Coursera fulfills that requirement and gives course participants the background to understand industry standards and key cybersecurity compliances. The knowledge provided throughout will prove to be beneficial for learners irrespective of the role they wish to partake in an organisation.

Candidates will get a strong grasp of the basic commands for a user and server administration related to security. Endpoint security and patch management have also been sufficiently dealt with. Finally, learners will know more about the in-depth skills around encryption and cryptography to understand their effect on the software. The intended audience of this Cybersecurity Compliance Framework & System Administration training course comprises those wishing to acquire a basic understanding of Compliance, Security Frameworks, endpoint management, cryptography, or encryption.

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5 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of Cyber Security
Introduction to Cybersecurity Tools and Cyber Attacks

Offered by

Certificate

Introduction to Cybersecurity Tools & Cyber Attacks

The Introduction to Cybersecurity Tools & Cyber Attacks certification course is an online programme that revolves around the topics of cybersecurity. Some of the major topics of the course include terminologies used in cybersecurity, various tools and techniques used in real life, etc. The programme can be availed at zero cost in the audit mode. The course material can be accessed for free along with all the lessons available in the course. 

The Introduction to Cybersecurity Tools & Cyber Attacks online course is a beginners' level programme and does not require any specific academic requirements to get started with the course. The self-paced mode allows the user to understand the concepts thoroughly by giving them the power to choose their study timings with no deadlines to learn from the course as per their requirements. The Introduction to Cybersecurity Tools & Cyber Attacks certification syllabus will take up to 11 hours of the students' time to complete the course. The programme is a hundred percent online training and also provides shareable certification at the end of the course. 

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5 Weeks
Beginner
3,384
Skills Covered:
Knowledge of Cyber Security
Cybersecurity and Privacy in The Internet of Things

Offered by

Certificate

Cybersecurity and Privacy in the

5 Weeks
Beginner
Free
Network Security Advanced Topics

Offered by

NYU via Edx
Certificate

Network Security - Advanced Topics

5 Weeks
Intermediate
Free
Information Security Advanced topics

Offered by

NYU via Edx
Certificate

Information Security - Advanced topics

5 Weeks
Intermediate
Free
Information Security Introduction to Information Security

Offered by

NYU via Edx
Certificate

Information Security Introduction to Information Security

5 Weeks
Intermediate
Free
Sample Based Learning Methods

Offered by

University of Alberta, Edmonton , Alberta Machine Intelligence Institute via Coursera
Certificate

Sample-based Learning Methods

The University of Alberta and Alberta Machine Intelligence Institute offer the Sample-based Learning Methods training programme in conjunction with Coursera. An intermediate-level course, the programme is spread across four weeks, with intensive modules on reinforcement learning. The course will also help you understand how learning from experience can help you attain optimal behaviour. 

The Sample-based Learning Methods certification course will help you understand concepts like Temporal Difference learning, Monte Carlo strategy, exploration, dynamic programming, and more. Moreover, the certification course will provide you with a chance to apply TD algorithms, Expected Sarsa, Q-learning, and more.

Instructors will conclude the Sample-based Learning Methods online course by looking at how algorithms can combine model-based planning and temporal difference updates to fast-track learning. Additionally, the certification course offers the flexibility to learn at your own pace in your own time and set your own deadlines. 

You will also receive a combined shareable certificate from the University of Alberta and Coursera, upon completion of the Sample-based Learning Methods course.

...Read More
5 Weeks
Intermediate
13,514
Skills Covered:
Machine learning Knowledge of Artificial Intelligence

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