149 Courses and Certifications

List of Online Courses and Certifications

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Skills

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Relational Database Basics

Offered by

IBM via Edx
Certificate

Relational Database Basics

4 Weeks
Beginner
Free
Introduction to Statistics for Data Science using Python

Offered by

IBM via Edx
Data Science Methodology

Offered by

Certificate

Data Science Methodology

The duration of the Data Science Methodology certification course is 6 hours (approximately). The certification programme supports the students to gain a comprehensive knowledge of data science methodology and all other aspects related to it. This course is designed for beginners, allowing students to progress at their own speed and with ease.

The students will gain in-depth knowledge of applying the six stages in the Cross-Industry Process for Data Mining (CRISP-DM) methodology to analyse a case study. The Data Science Methodology certification by Coursera provides Data Science, Data Analysis, CRISP-DM, Methodology, Data Mining skills to the students. They will be able to apply the learned fundamentals in real-world scenarios.

Also Read: Online Data Science With Artificial Intelligence Courses & Certifications

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4 Weeks
Beginner
1,699
Introduction to Cybersecurity Essentials

Offered by

Certificate

Introduction to Cybersecurity Essentials

4 Weeks
Beginner
Threat Intelligence Lifecycle Fundamentals

Offered by

IBM via Edx
Certificate

Threat Intelligence Lifecycle Fundamentals

4 Weeks
Beginner
Free
Site Reliability Engineering Capstone

Offered by

IBM via Edx
Certificate

Site Reliability Engineering Capstone

4 Weeks
Intermediate
Free
Cyber Threat Intelligence

Offered by

Certificate

Cyber Threat Intelligence

With the revolutionization of Digital technologies, they have become the backbone of every industry in today's world. But along with the revolution they have brought risks of cyberattacks. Threat intelligence knowledge helps one to track the threat and plan the defence against them. The Cyber threat intelligence training course provides knowledge and understanding as to who is attacking, their strength and abilities as to how much damage they can create to the system.

To keep a track of their network and data they opt for a solution which is a cyber threat intelligence which can address all the issues that they are prone to. This Cyber threat intelligence online course is specially designed for beginners who are willing to gain knowledge using this platform and aim for a bright future by upgrading their portfolio and skills. The learners will be able to stand in the competition that is prevailing in the industry and will be able to stand out of the crowd.

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3 Weeks
Intermediate
4,115
Skills Covered:
Knowledge of Cyber Security
Data Privacy for Information Architecture

Offered by

Certificate

IBM Data Privacy for Information Architecture

External laws and regulations use Data privacy to control how digital information is used, shared, collected and disposed of. In the IBM Data Privacy for Information Architecture course, you will understand what data privacy is and how it works. The course covers multiple topics in data privacy, such as understanding the objectives of privatisation and typical data protection and how to select an approach in data protection for an organisation. You will also be exposed to various multi-data privatisation practices and mechanisms and growing your own data protection toolkit. 

IBM Data Privacy for Information Architecture online course is a three-week course. However, you can select your schedule for viewing the video lectures and the reading material. There will also be periodic practice exercises to evaluate your progress. Upon successfully completing the course, you will receive certification. 

IBM Data Privacy for Information Architecture certification is free to audit. You can also apply for a scholarship or financial support if you aren't able to pay the fee.  

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3 Weeks
Free
Skills Covered:
Knowledge of Cyber Security
Developing Cloud Applications with Node.js and React

Offered by

IBM via Edx
Certificate

Developing Cloud Applications with Node.js and React

The Developing Cloud Applications with Node.js and React online course is an intermediate-level curriculum that belongs to the Computer Science domain. IBM offers this programme in the English language, along with video transcripts. Moreover, there is no fixed schedule, and you can train quickly. The course structure is simple, which you can complete with a minimal effort of four to six hours per week. 

The Developing Cloud Applications with Node.js and React certification course is also associated with two other professional certificate programmes, namely, ‘Cloud Application Development Foundations’ and ‘Full Stack Cloud Developer’. The training ensures that you attain complete conceptual clarity in Node.js, Express, the React JavaScript library, invoking Web Services, and Cloud APIs’ integration. 

The Developing Cloud Applications with Node.js and React online programme also lets you practice GitHub concepts and DevOps to see that the application is continuously delivered. Mr. Upkar Lidder teaches this course, he is a senior software engineer at IBM. Therefore, you can be sure of learning from an instructor who possesses a working knowledge of the field. Learners will have the option to choose any track from the two mentioned ones: audit and verified tracks. These tracks are self-paced and offer limited and unlimited course material access for the verified and audit tracks respectively.

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3 Weeks
Intermediate
Skills Covered:
Web application development skills
Python Basics for Data Science

Offered by

IBM via Edx
Certificate

Python Basics for Data Science

Python programming and data science are highly valuable and in-demand skills. Top companies use Data Science and analysis to interpret data and make critical business decisions. Python Basics for Data Science by edX will delve into data science using Python. As this is a beginner-level course, you will learn about Python language from scratch and do not have to be a programmer.

The Python Basics for Data Science certification is a free programme that falls under the Data Analysis and Statistics category and will run for five weeks. It will enable you to learn at your own schedule and pace through video content. By the end of the training course, you will be adept at using Python language to create data science projects and be ready to collaborate with Data scientists. 

Enrol in the edX Python Basics for Data Science programme and gain basic knowledge of machine learning, programming, and data visualisation. You can also earn a sharable verified course certificate after completing the course if you took the course in the verified track by paying the fee. In the free track, you can audit the programme for a limited duration. 

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3 Weeks
Intermediate
Skills Covered:
Data science knowledge Knowledge of Python
Introduction to Cloud Computing-1

Offered by

IBM via Edx
Certificate

Introduction to Cloud Computing

Cloud computing denotes the availability of computer resources and the delivery of various services through the internet. Introduction to Cloud Computing by edX has been designed as a six-week online learning programme for beginners. You can learn about cloud computing concepts and their essential characteristics through videos, reading material and more. 

The curriculum also provides graded assignments and quizzes to help you stay motivated and track progress. The course syllabus includes the history of cloud computing and the emerging trends that include Hybrid Multicloud, Cloud Native, Microservices, Application Modernisation, etc. If you are new to the field, Introduction to Cloud Computing online course is a great way to get familiar with or build a prosperous career as a Cloud professional.

Moreover, the Introduction to Cloud Computing certification has been curated in collaboration with IBM, and you will receive digital badges along with a verified certificate on completion if you choose the verified track. Hence, you can learn through interactive methods and get accredited for your newly gained knowledge and skills. Rav Ahuja, who is the Global Program Director at IBM, will be your programme instructor. In the free mode, you can access the course only for a limited period of time. 

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3 Weeks
Beginner
Skills Covered:
Knowledge of cloud computing
Machine Learning Rapid Prototyping with IBM Watson Studio

Offered by

Certificate

Machine Learning Rapid Prototyping with IBM Watson Studio

The Machine Learning Rapid Prototyping with IBM Watson Studio certification course will be allowing the students to work in the emerging technologies of AI. The syllabus is included in the online course Machine Learning Rapid Prototyping with IBM Watson Studio by Coursera. The online programme is  100% online programme and the course is having a duration of eight hours. The Machine Learning Rapid Prototyping with IBM Watson Studio certification syllabus includes the chapters of- Classification Prep Demo, Regression Prep Demo, Multi-armed Bandit Approach, Demo Classification: Making Changes to the Models, Automated Data Preparation, DAUB Algorithm, The model selection problem and others.

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3 Weeks
Intermediate
Skills Covered:
Machine learning
Specialized Models Time Series and Survival Analysis

Offered by

Certificate

Specialized Models: Time Series and Survival Analysis

By taking up the Specialized Models: Time Series and Survival Analysis online course the students will be working on the ways to identify the modelling challenges that are common within the domain of time series data. The course will further be helping to understand the process of how trends are gauged and accessed in a time series of data. In the Specialized Models: Time Series and Survival Analysis certification syllabus the students will be covering chapters on- Identifying Nonstationarity, Common Transformations, Smoothing Moving Averages, Time Series Smoothing, Deep Learning Notebook, Survival Analysis and Censoring and others. The online course on Specialized Models: Time Series and Survival Analysis by Coursera will be elaborating on the domains of “time-series data” and will be working on its applications.

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3 Weeks
Intermediate
Free
Skills Covered:
Knowledge of deep learning

Offered by

Certificate

Linux System Administration with IBM Power Systems

Linux System Administration with IBM Power Systems Certification by Coursera introduces learners to the fundamental concepts surrounding the administrative tasks that a system administrator can undertake with Linux on IBM Power servers. Within a span of four weeks, they will also learn about various concepts related to virtualisation that include logical partitioning, command-line operations and the installation of Linux. They shall also delve into some interesting concepts surrounding device and administration management tasks.

Linux System Administration with IBM Power Systems Certification Programme will help learners earn a shareable certificate to exhibit their skills to recruiters. They can learn at their own pace with their schedule. The curriculum has been made engaging with additional readings and quizzes with each week's lectures. Candidates also have the option to receive peer feedback on peer-reviewed graded assignments and provide them with feedback to initiate mutual learning.

The course is offered under the ambit of Cloud Computing under another broad ambit of Information Technology. Thus, candidates belonging to these fields can pursue this course and polish their skills considerably. The course is being delivered by experts from IBM that makes learning industry-oriented and significant for academic and professional purposes.

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3 Weeks
Intermediate
3,384
Skills Covered:
Knowledge of Linux
AI Capstone Project with Deep Learning

Offered by

Certificate

AI Capstone Project with Deep Learning

The AI Capstone Project with Deep Learning certification course provides an advanced level of training to all its participants. The programme is within the reach of the students at no cost as it can be accessed for free in the audit mode. The course is made accessible to every aspirant through the platform Coursera. Students who enrol for this hundred per cent online training will be able to gain a deep understanding of AI. 

The course revolves around the topics of preprocessing data, building a model, validity of a model, etc. The programme is a part of a course named IBM AI Engineering that is also a Coursera programme and is in association with IBM. The curriculum of the AI Capstone Project with Deep Learning online course is managed by two industry experts that will help the students understand the concepts. 

The course material of the subject also provides hands-on experience through projects. Along with the projects, it includes quizzes, assignments, practises exercises, etc. The course does not have any restrictions with respect to admission eligibility criteria, deadlines, or attendance. The content of the AI Capstone Project with the Deep Learning certification syllabus is divided into 3 weeks and can be completely finished in around 5 hours. If the student is able to complete the course in the fixed time he or she will be able to achieve a certificate at the end of the programme.

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3 Weeks
Expert
3,384
Skills Covered:
Machine learning Knowledge of Artificial Intelligence Knowledge of Python Knowledge of Algorithms
Artificial Intelligence Workflow Artificial Intelligence in Production

Offered by

Certificate

AI Workflow: AI in Production

Part six in the series of programs on the same domain the online course on AI Workflow: AI in Production by Coursera can be persuaded by students who have an earlier and strong understanding of - NumPy, IBM Watson studio, Python, Pandas, Linear Algebra, and Descriptive and inferential statistical concepts. 

The online course focuses on the models of productions that are aimed at streaming media companies. The course will be introducing the students to the core concepts of IBM Watson Learning. The online program over the period of 17 hours covers the topics of - data analysis, visual recognition, machine learning, and hypothesis testing,  bias detection, NLP and others. The AI Workflow: AI in Production certification syllabus will be covered by professionals.

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3 Weeks
Expert
13,572
Skills Covered:
Machine learning Knowledge of NLP Modelling
Full Stack Application Development Capstone Project

Offered by

Certificate

Full Stack Application Development Capstone Project

A full-stack developer indulges in working on the front end and back end of software applications. Full-stack developers are expected to be well acquainted with technologies used for the implementation of components and layers in software. Cloud-native application development is one of the major approaches to run, build and improve apps through technologies and techniques for cloud computing. In order to ace this role, aspiring developers must know the nuances of these techniques and technologies.

Full Stack Application Development Capstone Project by Coursera fulfils this requirement as a flexible, job-relevant and affordable online learning programme for individuals. IBM experts will deliver on-demand lectures that can be accessed on both desktop and mobile applications on the candidate's own schedule. Coursera also provides career support resources like resume development and interviews.

No prior programming experience or Cloud background is required to start this program. Full Stack Application Development Capstone Project certification syllabus comprises a high-quality curriculum that will help learners develop skill sets in numerous technologies including HTML, cloud foundations, CSS, JavaScript, Node.js, GitHub, react, DevOps, cloud-native practices, CI/CD, docker, containers, Kubernetes, Istio, Openshift, python programming, SQL, databases, NoSQL, bootstrap, Django ORM, application security, serverless computing and microservices.

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3 Weeks
Expert
3,384
Skills Covered:
Web application development skills
Python Project for Data Engineering

Offered by

Certificate

Python Project for Data Engineering

The Python Project for Data Engineering certification course, developed by IBM Skills Network and taught by Ramesh Sannareddy, a subject matter expert in data engineering, and Joseph Santarcangelo, a Ph.D., data scientist at IBM, is made available by Coursera, which is intended for participants who want to evaluate their expertise by using web scraping and extracting data with APIs, all with the help of numerous hands-on experiments.

Python Project for Data Engineering online classes provides 9 hours of prerecorded learning materials with an emphasis on assisting participants in obtaining the knowledge necessary to apply fundamental Python abilities by utilizing various data collection and data processing strategies. The Python Project for Data Engineering online course covers subjects such as Watson Studio, Jupyter notebooks, and API functions as well as demonstrates how to extract data from various file formats, change it into particular datatypes, and then load it into a particular source for analysis.

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3 Weeks
Intermediate
1,699
Skills Covered:
Knowledge of Python
Apache Spark for Data Engineering and Machine Learning

Offered by

IBM via Edx
Introduction to z OS Commands and Panels on IBM Z

Offered by

IBM via Edx
Certificate

Introduction to z/OS Commands and Panels on IBM Z

3 Weeks
Beginner
Free
Introduction to IBM z OS Mainframe

Offered by

IBM via Edx
Certificate

Introduction to IBM z/OS Mainframe

3 Weeks
Beginner
Free
Cloud Application Developer Capstone

Offered by

IBM via Edx
Certificate

Cloud Application Developer Capstone

3 Weeks
Expert
Free
Devops Basics for Everyone

Offered by

IBM via Edx
Certificate

Devops Basics for Everyone

3 Weeks
Beginner
Free
Data Engineering and Machine Learning using Spark

Offered by

Certificate

Data Engineering and Machine Learning using Spark

3 Weeks
Beginner
Free
Smarter Chatbots with Node RED and Watson AI

Offered by

IBM via Edx
Certificate

Smarter Chatbots with Node- RED and Watson AI

3 Weeks
Intermediate
Free
Introduction to System Programming on IBM Z

Offered by

IBM via Edx
Certificate

Introduction to System Programming on IBM Z

3 Weeks
Intermediate
Free
AI Applications With Watson

Offered by

IBM via Edx
Certificate

AI Applications with Watson

3 Weeks
Intermediate
Free
Data Analysis with Python

Offered by

Certificate

Data Analysis with Python

Offered by IBM, the Data Analysis with Python Programme certification course is a certification programme which is conducted by one of the leading and pioneering skill-based training academy namely, Coursera. By undertaking this programme, the candidate will specialise and learn the art of analysing the data with the help of Python. During the course, the candidates will be able to master and gain knowledge on different skills namely, Data Analysis, Model Selection, Data Visualization, Python Programming and Predictive Modelling. 

The candidates will seek a detailed understanding about skills used in data analysis namely, Scipy, Numpy and Pandas libraries. This programme being a 100% online programme will give ease and convenience for professionals to pursue it. A shareable certificate will also be given in the end post successfully completing the programme. This certificate can be easily viewed, printed and shared on LinkedIn as well. Moreover, this programme Data Analysis with Python training  will act as a foundation or basis for professionals to pursue different programmes post completion of this one. 

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2 Weeks
Intermediate
Free
Skills Covered:
Knowledge of Python Data science knowledge Predictive Modeling knowledge Knowledge of Data Visualization
Machine Learning with Python

Offered by

Certificate

Machine Learning with Python

The Machine Learning with Python certification course offered by IBM is a comprehensive program designed to introduce learners to the basics of machine learning using the Python programming language. Machine Learning with Python programme offered by IBM is the 13 hours (approx.) duration certification course having 6 moudules in total where students can learn on their own pace.

The Machine Learning with Python  certification course, offered by IBM via Coursera, is the intermediate level programme where students will learn classification techniques using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and Logistic Regression. You’ll also learn about the importance and different types of clustering such as k-means, hierarchical clustering, and DBSCAN.  Machine Learning with Python certification course offered by IBM helps the students to learn new concepts from industry experts and develop job-relevant skills with hands-on projects along with shareable career certificate from IBM.

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2 Weeks
Intermediate
Free
Skills Covered:
Machine learning Knowledge of Python Knowledge of Scikit-Learn
Deep Neural Networks with PyTorch

Offered by

Certificate

Deep Neural Networks with PyTorch

The Deep Neural Networks with PyTorch certification course will teach candidates, how to use Pytorch to create deep learning models. It is a part of the IBM AI Engineering Professional Certificate. There are a total of 6 courses in that specialisation. The Deep Neural Networks with PyTorch training course is the fourth one of them. Artificial intelligence or AI is revolutionising whole industries by transforming the way businesses exploit knowledge to make decisions across sectors. Organisations need skilled AI engineers who use cutting-edge approaches such as machine learning algorithms and deep learning neural networks to provide their companies with data-driven actionable intelligence in order to remain competitive. This Technical Certificate of 6 courses is designed to equip candidates with the tools which are needed to excel as an Artificial Intelligence or Machine Learning engineer in their career. 

Using programming languages such as Python, candidates will master the basic principles of machine learning and deep learning, which includes supervised and unsupervised learning. Candidates will also obtain a digital badge from IBM acknowledging their proficiency in AI engineering in addition to receiving a Technical Certificate from Coursera.

...Read More
2 Weeks
Intermediate
1,914
Skills Covered:
Knowledge of deep learning

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