Page 40 - List of all Courses & Certifications - Eligibility, Fees, Duration, Career Options

Offered by

TU Delft via Edx

Certificate

Artificial Intelligence in Practice Applying Artificial Intelligence

5 Weeks

Intermediate

₹ Free

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Offered by

University of Illinois, Urbana Champaign via Coursera

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.

5 Weeks

Beginner

₹ 3,369

Compare

Skills Covered:

C++ Knowledge of Algorithms Knowledge of cloud computing

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.

5 Weeks

Beginner

Compare

Skills Covered:

Knowledge of cloud computing

Offered by

Google via Coursera

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.

5 Weeks

Intermediate

₹ 1,699

Compare

Skills Covered:

Knowledge of cloud computing

Offered by

Google via Coursera

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.

5 Weeks

Beginner

₹ 1,699

Compare

Skills Covered:

Knowledge of cloud computing

Offered by

Google via Coursera

Certificate

Exploring Data Transformation with Google Cloud

5 Weeks

Beginner

₹ 3,277

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Offered by

HSE University via Coursera

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.

5 Weeks

Expert

₹ 3,686

Compare

Skills Covered:

Predictive Modeling knowledge

Offered by

IBM via Coursera

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.

5 Weeks

Intermediate

₹ 3,384

Compare

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.

5 Weeks

Intermediate

₹ 4,091

Compare

Skills Covered:

Machine learning Data science knowledge

Offered by

Columbia University, New York via Edx

Certificate

Statistical Thinking for Data Science and Analytics

5 Weeks

Beginner

₹ Free

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Offered by

IBM via Coursera

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.

5 Weeks

Intermediate

₹ 3,384

Compare

Skills Covered:

Knowledge of Cyber Security

Offered by

IBM via Coursera

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.

5 Weeks

Beginner

₹ 3,384

Compare

Skills Covered:

Knowledge of Cyber Security

Offered by

Curtin University, Perth via Edx

Certificate

Cybersecurity and Privacy in the

5 Weeks

Beginner

₹ Free

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Offered by

NYU via Edx

Certificate

Network Security - Advanced Topics

5 Weeks

Intermediate

₹ Free

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Offered by

NYU via Edx

Certificate

Information Security - Advanced topics

5 Weeks

Intermediate

₹ Free

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Offered by

NYU via Edx

Certificate

Information Security Introduction to Information Security

5 Weeks

Intermediate

₹ Free

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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.

5 Weeks

Intermediate

₹ 13,514

Compare

Skills Covered:

Machine learning Knowledge of Artificial Intelligence

Offered by

IBM via Coursera

Certificate

Introduction to Deep Learning & Neural Networks with Keras

In the present times where the advances in technology have shifted to IoT (Internet of Things), the concept of Deep Learning can be foreseen as one of the crucial ones, to be understood and well researched. Deep learning is faster and easier to develop and deploy as well. The Introduction to Deep Learning & Neural Networks with Keras certification course, the participants will get a deep insight into the Deep learning models. Furthermore, they will also be able to create models of Deep learning by making use of the Keras library.

The entrant will be introduced to exhilarating applications of Deep Learning. They will be learning about various deep learning algorithms and neural networks which are inspired by the functioning of neurons and the brain with respect to data processing. They will also get an insight into the working of the neural networks to feed the data throughout the network.

The Introduction to Deep Learning & Neural Networks with Keras training will provide knowledge about optimisation of variables as per the defined function, gradient descent algorithm, backpropagation, and updating the weights and biases of neural networks. Furthermore, the entrant will be taught about the activation functions and vanishing gradient problems.

5 Weeks

Intermediate

₹ 3,369

Compare

Skills Covered:

Machine learning Knowledge of Artificial Intelligence Knowledge of deep learning

Offered by

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

Certificate

Prediction and Control with Function Approximation

Reinforcement learning is a machine learning method that helps to understand how the software agents should take actions according to the situations and requirements. Helps solve all the problems that have large or high dimensional and potential limitless spaces available. It helps one to investigate how policy prediction and evaluation methods like TD and Monte Carlo can be used to help function approximation settings.

Prediction and Control with Function Approximation certification course by Coursera include features construction techniques for representational learning through a neutral network, RL and backdrop. This course is designed for the candidates who have completed the first and the second part of the reinforcement learning and specialization training as it is a continuation of the same.

By doing the Prediction and Control with Function Approximation training course they will be a field ready and gain knowledge that will help them master their skills and help upgrade their portfolio which will, in the end, help them towards their successful career.

5 Weeks

Intermediate

₹ 13,514

Compare

Skills Covered:

Machine learning Knowledge of Artificial Intelligence

Offered by

Amazon Web Services via Coursera

Certificate

Getting Started with AWS Machine Learning

Amazon Web Services (AWS), the most comprehensive and vastly adopted cloud platform across the globe, is a fast, easy and cost-efficient platform to build ML applications. The AWS Machine Learning offers tools and services which cater for the developers and organisations to build ML models more efficiently. Globally, AWS Machine Learning is used by developers to build ML models that can test product designs, assess property damages, improve healthcare operations, analyse customer behaviour, fraud detection and much more.

Getting Started with AWS Machine Learning certification course is an online offered by AWS through the Coursera platform. This certificate programme will assist the participants to gain familiarity and working knowledge of AWS Machine Learning. The course content spreads over 5 weeks and includes module videos covering almost every significant aspect of machine learning. Participants will receive a shareable certificate upon completion of this online certificate programme.

5 Weeks

Intermediate

₹ Free

Compare

Skills Covered:

Machine learning Knowledge of Artificial Intelligence

Using Machine Learning in Trading and Finance

Offered by

New York Institute of Finance, New York , Google Cloud via Coursera

Certificate

Using Machine Learning in Trading and Finance

The Using Machine Learning in Trading and Finance online course is providing a platform for the students to learn and study about the basics that are involved in developing advanced strategies that are used in modern machine learning techniques.

In the online programme on Using Machine Learning in Trading and Finance by Coursera, the applicants will be studying the key components that are common to all the trading strategies irrespective of the platforms and dimensions.

In the Using Machine Learning in Trading and Finance certification syllabus, the enrolled students will be covering the comprehensive chapters of- Regularization: L1, L2, and early stopping, Regularization: dropout, Lab Intro: Keras functional API, Regularization: the basics, Neural networks with Keras functional API, Collect the data, Backtest on unseen data, Selecting a machine learning algorithm, Lab Intro: momentum trading, Creating features, Define the problem, Split the data and others.

5 Weeks

Intermediate

₹ 3,384

Compare

Skills Covered:

Machine learning

Offered by

IBM via Edx

Certificate

PyTorch Basics for Machine Learning

The PyTorch Basics for Machine Learning certification programme is offered by IBM to arm you with the skills for implementing classic machine learning algorithms. You will get to know how PyTorch is used to optimise and create deep learning models.

During the PyTorch Basics for Machine Learning training, you will learn important models such as linear and logistic regression models. This introductory-level programme will teach you how to train your models and their related concepts like gradient descent, cost and loss.

With the learnings of edX’s PyTorch Basics for Machine Learning course, you will learn to save your training and model in apps like checkpoints, early stopping and cross-validation for hyperparameter selection. Also, basics around the linear object, like their interaction with data with a distinctive number of samples and different dimensions, will be cleared.

The PyTorch Basics for Machine Learning course also includes a final project in the end to assess your skills and performance. You can even get a paid instructor-signed certification after completing the course. The learners also can audit the self-paced programme without paying the fee for a limited duration.

5 Weeks

Beginner

Compare

Skills Covered:

Machine learning Knowledge of deep learning Knowledge of Numpy

Offered by

IBM via Edx

Certificate

Analyzing Data with Excel

The Analyzing Data with Excel certification course is a self-paced 5 weeks online programme that is designed and offered by IBM on the platform of edX. By just focusing on 3-5 hours every week at their own speed, the learners can finish learning. Though the course is initially free, a nominal fee is required in case students wish to upgrade, get unlimited material access, and receive certificates along with verified badges. This is an introductory course that gives applied knowledge, and hands-on practice of lab exercises.

Analyzing Data with Excel training will give knowledge in the in-demand topics required for business. The students will be able to build basic knowledge of different kinds of Excel spreadsheets for performing the fundamental data analysis. This online introductory programme with zero admission prerequisites actually in its syllabus covers the working features of Microsoft Excel that will assist students in analysing their data.

The candidates can select from among the 2 tracks, the audit track and the other, the verified track. If one wants limited but free access their pick can be the audit track and if someone needs unlimited course material access they can upgrade to the paid verified track.

5 Weeks

Beginner

Compare

Skills Covered:

Knowledge of Excel

Offered by

Google via Coursera

Certificate

Architecting with Google’s Kubernetes Engine: Workloads

Google Kubernetes Engine is one of the fastest developing platforms for containerized workloads and services and as such happens to be an amazing skill to have for an aspirant of the Cyber World.

Architecting with Google’s Kubernetes Engine: Workloads is the perfect course as it not only teaches candidates how to create and manage deployments but also because what better source to learn this from other than Google Cloud itself. This course concentrates on building infrastructures with Google Kubernetes Engine and give it persistent workload storage.

The course introduces containerised applications of the GKE to the candidates as well as many other services offered by Google Cloud to give the candidates the best of any programme. Although the course is online, it does offer hands-on lab experience to all the candidates to formulate their own solutions to deployment elements, security management, resource monitoring, access management, resource management and much more.

5 Weeks

Intermediate

₹ 1,699

Compare

Skills Covered:

Computer skills

Offered by

IBM via Edx

Certificate

Introduction to Containers, Kubernetes and OpenShift

After virtualisation, cloud-native and containers are one of the most significant finds of the ITC industry. Several organisations are transitioning to this platform to gain competitive advantage. So, pursuing the Introduction to Containers, Kubernetes and OpenShift certification course will help you leverage this opportunity for personal gains. It is an intermediate-level programme for five weeks.

The introduction to containers kubernetes and openshift docker introduction has a self-directed training model. It will allow you to learn at your speed and enhance your employability quotient. After completing this course, you will develop and deploy cloud-native applications effectively. You will understand the difference between containers and virtual machines through the computer science course curriculum.

Furthermore, the Introduction to Containers, Kubernetes and OpenShift training will enable you to take on advanced roles in your organisation. It is also a beneficial programme for an individual who wants to become a cloud practitioner. The course dives into the concepts of how and why containers are important in cloud computing.

5 Weeks

Intermediate

Compare

Skills Covered:

Knowledge of cloud computing

Offered by

Edureka

Certificate

Microsoft Azure DevOps Certification Training Course (AZ-400)

The Microsoft Azure DevOps Certification Training Course (AZ-400) course from Edureka is developed by industry experts to align with industry requirements. Besides, if you are looking to crack the Microsoft Azure AZ-400 exam, this is the course for you. The training is designed to help new learners master the basics and advanced concepts of the Azure DevOps-related services.

The Microsoft Azure DevOps Certification Training Course (AZ-400) programme packs of instructor-led live online learning real-life case studies, quizzes, presentations, installation guides, and class recordings. You will also open an Azure Free Tier account to execute practicals in the curriculum. It also features a comprehensive curriculum, which explores topics like security, source code management, compliance, delivery, continuous integration, and monitoring in Azure.

With the Microsoft Azure DevOps Certification Training Course (AZ-400) syllabus, you will also learn to devise and implement strategies for collaboration. As the course reaches its end, Edureka will award you with accreditation for attending the course. Furthermore, if you have any queries during or after the course, you will have lifetime access to the Edureka support team.

Also Read:
Microsoft Azure DevOps Certification Course Training for AZ-400
DevOps Engineer for Microsoft Azure

5.5 Weeks

₹ 19,999

Compare

Skills Covered:

Software development skills

Offered by

University of Strathclyde, Glasgow via Futurelearn

Certificate

Hurricane Tracking with Satellite Data

A 5-weeks online programme, the Hurricane Tracking with Satellite Data course is developed to impart students with comprehensive knowledge about how they can analyse satellite data related to hurricanes and predict hurricanes’ paths to minimise the damage caused by them.

Satellite-enabled data allows us to monitor, track and observe hurricanes from a secure distance. You will be gaining insights on how these datasets can be explored to derive descriptive stats. With the help of Hurricane Tracking with Satellite Data online programme, you will understand the important ideas of data science imperative to analyse, process, and finally interpret the large sets of data.

Utilizing the tracking data made possible by satellites, you will see how predicting the paths of hurricanes is crucial in administrating, evacuations, and relief efforts to save countless lives that are endangered by these natural disasters.

The Hurricane Tracking with Satellite Data course by FutureLearn uses practical case studies and tutorials for enabling you to extract vital information from the satellite datasets.

5 Weeks

Beginner

₹ 6,500

Compare

Skills Covered:

Data science knowledge Knowledge of Python Knowledge of Data Visualization

Offered by

IBM via Coursera

Certificate

Introduction to Data Analytics

This Introduction to Data Analytics certification course provides a gentle introduction to data analysis principles, the role of a data analyst, and the techniques used to execute everyday tasks. The enrolled candidate will acquire knowledge of the data environment as well as the foundations of data processing, such as data collection and data mining. This Introduction to Data Analytics training in the course would teach students how to tell the difference between a data engineer, data scientist and data analyst.

They will understand what a data analyst's duties are and what data analysis entails. In order to attain Introduction to Data Analytics certification at the end, the candidate will be able to compile an overview of the data environment, including databases and data warehouses. Following that, students can learn about the key vendors in the data environment and investigate the different technologies available on-premise and in the cloud.

Continue on this thrilling trip to learn about Hadoop, Hive, and Spark, as well as other big data platforms. The candidate will begin by studying the basics of data collection and how to classify data sources. They'll then learn how to use visualizations and dashboard software to clean, interpret, and distribute the results. All of this culminates in the final assignment, which will assess their understanding of the course content, discuss what it means to be a Data Analyst, and have a real-world application.

5 Weeks

Beginner

₹ 3,384

Compare

Skills Covered:

Data science knowledge Knowledge of Excel

Offered by

Google via Coursera

Certificate

Prepare Data for Exploration

The online course on Prepare Data for Exploration by Coursera is the third part of the series programme under the Google Data Analytics certificate. The course will equip the students with the skills needed to apply to introductory-level data analyst jobs. The experts will guide the students throughout the Prepare Data for Exploration online course. Over 24 hours, students will gain a detailed understanding of the following topics - Considerations in Data collection, Data formats in practice, The structure of data, Introduction to Data Ethics, the importance of data ethics, Introduction to data privacy, steps for ethical data use and others. The students will gain practical data analytics skills and learn how to use tools like SQL and spreadsheet to extract, organize and protect data. Hence the online session will help the students emerge as successful data analysts.

5 Weeks

Beginner

₹ 3,384

Compare

Skills Covered:

SQL knowledge

Offered by

Harvard University, Cambridge via Edx

Certificate

Fundamentals of TinyML

The Fundamentals of TinyML Training Course is an open course provided on the HarvardX platform coordinated by edX and Harvard University. The course will introduce students to the fundamentals of embedded systems and machine learning along with the core aspects of TinyML language.

The Fundamentals of TinyML Certification Syllabus will benefit students who are interested in data analysis and statistics. The course is an introductory level course that requires students to have knowledge about basic scripting techniques in Python. The course is supported by online study materials and instructed by Vijay Janapa Reddi and Laurence Moroney.

The Fundamentals of TinyML Course is taught over 5 weeks in a self-paced manner. The course focuses on the main aspects of deep learning, machine learning, and embedded devices and systems, like smartphones and other devices. Upon the successful completion of the online exams and assignments, students will receive a certificate if they choose the verified mode with the course fee. In the free mode, they can audit it for a limited period.

5 Weeks

Beginner

Compare

Skills Covered:

Machine learning Knowledge of deep learning Data science knowledge Knowledge of Artificial Intelligence

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