DEV Community: Swadin

How to learn AI and ML?

Swadin — Tue, 10 Oct 2023 13:27:52 +0000

AI and Machine Learning demand has been increasing at a rapid pace. Experts say that AI will be used in most of the things in the next 10 years. This shows the potential of the growth in jobs in the coming years. Learning AI and Machine Learning will help boost your career.
To start learning AI, you must follow a defined structure and approach.

Here are the steps to get started:

Understanding Basics:

First, you need to familiarize with the basics. Mathematics and statistics are the basics that every programmer must have. Learn programming languages that are used in building AI and ML(Python is highly recommended). Also learn concepts of algebra, calculus and probability theory.

Learn Python Programming:

Python is mostly used in building AI and ML applications and programs. Start learning its basics and the important libraries that are useful in building AI and ML models. Some libraries are numpy, pandas, and matplotlib.

Fundamentals of Machine Learning:

Here are some of the fundamental concepts in machine learning that you must learn:

Supervised Learning
Unsupervised Learning
Reinforcement Learning
Natural Language Processing
Different types of algorithms and more.

Data Processing:

Data is very crucial. You must know working with data and how to clean, process and transform data to use it in machine learning algorithms.

Explore Machine Learning Libraries:

Scikit-Learn is a popular library used in machine learning. Start building models and train them using real world datasets.

Deep Learning:

Learn the deep learning concepts like convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transfer learning. Deep learning has its frameworks TensorFlow and PyTorch to build deep learning models.

Start building Projects:

With these concepts cleared, you can start implementing the knowledge to build projects and gain practical experience. Start with building small projects and then increasing the complexity gradually.

Start joining online AI communities:

Interact with fellow programmers of AI and engage with them. If you face any difficulties in coding, you can take help of the community members.

Take online Courses:

I always recommend taking a course to deepen your understanding and learning. Take proper use of sites like Tutorialspoint for the courses.
Here is a AI ML Certification recommendation to start learning from basics to advanced levels:

Follow the AI world:

Always be updated with the changes in AI and ML. This field is evolving at a rapid pace, so start following AI and ML blogs, read research papers and keep yourself updated.

Remember, AI and ML is a field that has a enormous potential to do wonders in the future. To be relevant in this field, you must be open to learning. Constantly improve your skills and adapt yourself to the changing technology and evolving landscape of this field.

Best Cloud Computing Online Courses and Certification Training

Swadin — Tue, 19 Sep 2023 13:15:42 +0000

Cloud computing is a booming industry. Highly skilled employees are in high demand. If you want to work in cloud computing, there are several resources to help you gain the necessary skills. This article will review the finest Cloud Computing certificate courses and the best Cloud Computing training for the same to get you started on your path to a successful Cloud Computing profession.

Introduction
Career Growth in the Cloud Computing Industry
Top Cloud Certifications List
Best Cloud Computing Certification Training
Trending Cloud Computing Courses
Conclusion

Introduction

Cloud computing or Internet-based computing is the on-demand availability of computing resources. It facilitates storing data and programs on remote servers. This data may include files, images, documents, or any other storable document that can be accessed later. These servers are hosted on the internet instead of a system’s hard drive or local server.

Career Growth in the Cloud Industry

Cloud Computing is a technology where the resource is provided as a service through the Internet to the user. Organizations utilize these services as and when required and only pay for what they use rather than purchasing and maintaining servers and other IT infrastructure. The industry is growing rapidly and has some of the most in-demand job roles today. These job roles include:

Cloud Architect
Cloud architects design, build, and manage cloud computing solutions. According to Glassdoor, the average salary of Cloud Architects is $2,18,775 per year in the United States.
Cloud Engineer/ Developer
Cloud engineers implement and maintain cloud computing solutions. They develop and deploy applications on cloud computing platforms. According to Indeed, their average salary is $122943 per year in the United States.
Cloud Security Engineer
Cloud security engineers secure cloud computing solutions. According to Glassdoor, the average salary for a Cloud Security Engineer is $1,21,141 per year in the United States.
Data Engineer
A data engineer designs, builds, and maintains the systems that collect, store, process, and analyze data in the cloud. According to Glassdoor, the average salary of a Data Engineer is $1,15,470 per year and that of a Lead Data Engineer is $1,73,083 per year.

Top Cloud Certifications List

There are many different cloud computing latest certifications available, but some of the Top Cloud computing certifications include:

Google Certified Professional (GCP) Cloud Architect
This certification is the most advanced cloud architect certification offered by Google. It is designed for experienced cloud architects with a deep understanding of Google Cloud technologies.
Google Certified Professional Data Engineer
This certification covers a wide range of topics, including data engineering principles, data lakes, data warehouses, machine learning, and artificial intelligence. You will be certified for important skills including designing, developing, and managing data solutions on the Google Cloud Platform.
Amazon Web Services (AWS) Solutions Architect - Associate
This certification is the most popular cloud architect certification offered by AWS and is designed for professionals with experience in cloud computing. It validates your ability to design and deploy scalable and cost-effective solutions on AWS.
AWS Certified SysOps Administrator
This certification certifies your ability to operate and manage AWS infrastructure. It covers a wide range of topics, including computing, networking, storage, security, and monitoring.
Microsoft Certified: Azure Fundamentals
This certification is a good starting point for anyone who wants to learn about cloud computing or who wants to become certified in Microsoft Azure. It validates your understanding of the fundamental concepts of cloud computing and Microsoft Azure.
Microsoft Certified: Azure Solutions Architect Expert
This certification is the most advanced cloud architect certification offered by Microsoft and is designed for experienced cloud architects with a deep understanding of Microsoft Azure technologies. It validates your ability to design, deploy, and manage solutions on Microsoft Azure.

Best Cloud Computing Certification Training

It is essential to prepare well for the above Certifications. Enlisted below are effective training programs for the same. These Certification trainings will help you master Cloud Computing from scratch. The following training programs are a set of comprehensive video courses that will help you master Cloud Computing through project-based learning in real time.

Advanced Certification In Cloud Computing And DevOps

This Tutorials Point Advanced Certification in Cloud Computing and DevOps is intended to assist learners in mastering the key principles of Cloud Computing and DevOps and applying them in real-time.

The course is created by putting together the best courses to assist talent in fulfilling their need. You will have worked on real-world applications using new technologies after this course. The curriculum will teach you the most advanced Cloud and DevOps tools.

Tools and Technologies Covered

Git
Linux
AWS
Amazon S3
Amazon EC2
Ansible
Jenkins
Kubernetes
Docker
DevOps
Azure
Google Cloud

What You Will Learn

Master DevOps to become a successful Cloud DevOps Engineer
Build and implement CI/CD pipelines
Apply site reliability engineering practices
Implement application solutions in the cloud
Ensure that the code releases are handled smoothly
Analyze data for improvements and optimization
Develop a sustainable infrastructure for required applications
Ensure high scalability of the infrastructure
Learn to test, release, and maintain applications
Bring end-to-end development and operations together

Program Type: Paid
Duration: 134 hours
Certification: Yes

Cloud Computing Certification

Cloud Computing Certification is a top-rated online boot camp that walks you through everything from diverse cloud service models. Today, numerous IT disciplines are expanding at a breakneck pace and represent the world's future.

This Certification will offer you in-depth knowledge of cloud computing and particular cloud solutions such as AWS or Azure, as well as the most popular cloud computing solutions and providers.

Tools and Technologies Covered

Azure
AWS
Cloud Fundamentals
Apache Cloud Stack
Amazon EC2
Google Cloud Platform
IBM Cloud Platform
Salesforce Cloud Platform
IAM

Goals & Learning Outcomes

Master Cloud computing security.
Develop Cloud-Aware software with PaaS.
Learn Cloud Migration and Azure.
Prepare for the AWS CCP exam.
Implement AWS Lambda infrastructure.
Set IAM Roles and Policies for Lambda.
Configure Python, NodeJS, Java Lambda Functions.
Package and deploy Lambda Functions.

Program Type: Paid
Duration: 27 hours
Certification: Yes

Trending Cloud Computing Courses

If you want to cover a particular concept of Cloud Computing, you can opt for an individual course to polish your skill set. These courses are intended for anyone who wants to learn about cloud computing.

This includes IT professionals, software developers, business leaders, and anyone else who is interested in this field. There are many different cloud computing courses available.

Some of the best cloud computing courses online include:

Cloud Computing Fundamentals

This course from TutorialsPoint provides an introduction to cloud computing. This course provides an introduction to the world of cloud computing.

You will learn about the different types of cloud computing services and the big players in the cloud computing field.

You will also learn how to build your cloud environment at home and the challenges and best practices for moving to cloud computing.

Concepts Covered

Cloud Computing Fundamentals
Cloud Computing Deployment Models
Cloud Computing Security Issues & Strategies
Cloud Computing Service Models, Challenges & Best Practices
Commercial V/S OpenSource Cloud Solutions
Build Your Private Cloud at Home

Goals & Learning Outcomes

Fundamentals of cloud computing
Types of cloud computing services
Major cloud computing providers
Challenges of cloud computing
Secure cloud computing environment
Build your cloud environment

Course Type: Paid
Duration: 2.5 hours
Certification: Yes

Cloud Computing With Microsoft Azure

This course from Microsoft Learn teaches you how to build and manage cloud computing solutions on Azure. This course provides you with the knowledge and skills you need to develop and deploy your applications over Microsoft Azure.

You will learn about the different services and tools available on Azure, and you will gain hands-on experience by building and deploying your applications. The course is designed for beginners, so no prior knowledge of cloud computing or Azure is required.

Concepts Covered

Database, Analytics, Networking, other CLI options & Container
Project Container Instance & Project Container Registry
Cloud Migration, DevOps, Security & Machine Learning
Networking Projects, Project Stream Analytics & Project HDInsight
Project AKS (Azure Kubernetes Services), PROJECT CosmosDB & PROJECT SQL Database
Host a Website on the Cloud and develop a Chatbot

Goals & Learning Outcomes

Develop and deploy applications on Microsoft Azure.
Use a variety of Azure services and tools.
Have a good understanding of the Azure cloud platform.
Storage, containerization, networking, and databases.
Machine learning, chatbots, analytics, DevOps, security, and migration.

Course Type: Paid
Duration: 17.5 hours
Certification: Yes

Cloud Computing With Salesforce Heroku

This course from Salesforce teaches you how to build and deploy applications on Heroku, a cloud platform for developers. The course is designed for beginners, so no prior knowledge of Heroku or cloud computing is required.

Concepts Covered

The architecture of Heroku
Heroku Command Line
Heroku Deployment (Using Git)
Heroku Collaboration & Labs
Troubleshooting and Support
Hosting Static Website

Goals & Learning Outcomes

Develop and deploy your applications over Heroku.
Deploy WordPress, Laravel, Node.js, Python, etc
Host a website on Heroku.

Course Type: Paid
Duration: 4.5 hours
Certification: Yes

Cloud Computing With IBM Bluemix

This course from IBM teaches you how to build and deploy applications on Bluemix, a cloud platform for developers. You will learn about the different services and tools available on Bluemix, and you will gain hands-on experience by building and deploying your applications. The course is designed for beginners, so no prior knowledge of cloud computing or Bluemix is required.

Course Content

Understanding BLUEMIX Category- Infrastructure & Platform
Containers & Boilerplates
DevOps, Data & Analytics
Creating a ChatBot with Watson Conversation
Deploying a Website/Webapp on Bluemix
Creating an Object Storage

Goals & Learning Outcomes

Develop and deploy applications over IBM Cloud - Bluemix.
Mobile, web, IoT, AI, and other application development.
Object storage, Watson Chatbot, DevOps toolchain.
Push notification, IoT starter, Nodejs Cloudant DB web starter, Python Flask, Ruby Sinatra, etc.

Course Type: Paid
Duration: 2.5 hours
Certification: Yes

Conclusion

Since the cloud computing market is expanding exponentially, there are several opportunities for qualified candidates. You can set yourself up for a prosperous career in cloud computing by choosing a course from the above-mentioned recommendations.

Also, if you wish to explore more latest courses to upskill yourselves, do visit tutorialspoint.com

Important Java concepts you must know!

Swadin — Wed, 13 Sep 2023 13:00:37 +0000

Java is one of the most popular programming languages in the world. It's versatile, platform-independent, and ecosystem of libraries and frameworks make it the preferred one. These some of these essential Java concepts that every Java programmer must know:

Java Virtual Machine (JVM):
Java code is compiled into bytecode, which runs on the Java Virtual Machine (JVM). Understanding how JVM works is crucial because it's responsible for executing your Java programs.
Object-Oriented Programming (OOP):
Java is an object-oriented programming language, which means everything in Java is an object. Learn principles like classes, objects, inheritance, polymorphism, encapsulation, and abstraction.
Data Types:
Data types such as integers, floating-point numbers, characters, and booleans.
Control Statements:
Understand various control statements like if-else, switch-case, loops (for, while, do-while), and more.
Exception Handling:
Java uses exception handling to deal with runtime errors and exceptions. Learning how to handle exceptions using try-catch blocks.
Collections Framework:
Understand collection classes, such as Array List, LinkedList, HashMap, HashSet, and more.
Multithreading:
Understand how to create, manage, and synchronize threads for building responsive and scalable applications.
File I/O:
Use File I/O APIs and concepts to work with files, streams, and readers/writers effectively.
Annotations:
Annotations are used for metadata and can be powerful tools for configuring and customizing your Java code. Popular frameworks like Spring heavily rely on annotations for configuration.
Design Patterns:
Understanding design patterns like Singleton, Factory, Observer, and MVC can help you write maintainable and scalable code by following best practices.

Conclusion:

Mastering these important Java concepts is essential for becoming a proficient Java developer. Even if you are beginner, you can start learning Java effectively. You can practice Java and its concepts by writing and executing codes online using Java compiler tool.

References:

Java Tutorial
Online Certification Programs
Online Courses with Certificates
Java Springboot Certification

AI ML Certifications worth it?

Swadin — Mon, 11 Sep 2023 11:35:25 +0000

Introduction

Artificial Intelligence (AI) and Machine Learning (ML) have become the driving forces behind technological innovation in today's world. AI and ML are reshaping industries across the world. But the big question remains: Are AI and ML certifications worth it?

Growing Demand for Skills in AI and ML

AI and ML technologies grew rapidly over the past decade, leading to an increased demand for professionals in these fields. Data scientists, machine learning engineers, and AI specialists are in demand.

Pros of AI and ML Certifications

Skill Validation: AI ML certifications provide a structured way to validate your skills and knowledge in these fields.

Career Advancement: Companies value professionals with certifications and are willing to pay premium for their expertise.

Learning and Networking: Pursuing a certification not only involves formal training programs, it also gives the chance to network with instructors and students who share common interests.

Competitive Advantage: In this competitive job market, certifications can set you apart from other candidates. This gives individuals an edge over others.

Industry Recognition: Many AI and ML certifications are recognized globally, and can enhance your credibility and reputation in the field.

Cons of AI and ML Certifications

Cost: Obtaining certifications can be expensive. Spend on quality content. It's important to consider whether the potential return on investment justifies the expenses.

Time Commitment: You have to commit your time to learning apart from your busy schedule.

Rapid Technological Changes: The AI and ML fields are constantly evolving. Certifications may not always keep up with the latest trends and technologies, so take courses with lifetime access which get updated with time.

Conclusion

AI ML Certifications certainly boost your career prospects, validate your skills, and open doors to exciting opportunities. I suggest taking certifications from trusted websites like Tutorialspoint. They provide AI ML Certification from industry experts. This certification has everything to take you from basic to advanced level. Get lifetime access to the course which gets updated regularly. Start learning and get certified.

DEV Community: Swadin

How to learn AI and ML?

Understanding Basics:

Learn Python Programming:

Fundamentals of Machine Learning:

Data Processing:

Explore Machine Learning Libraries:

Deep Learning:

Start building Projects:

Start joining online AI communities:

Take online Courses:

Follow the AI world:

Best Cloud Computing Online Courses and Certification Training

Table of Contents

Introduction

Career Growth in the Cloud Industry

Top Cloud Certifications List

Best Cloud Computing Certification Training

Advanced Certification In Cloud Computing And DevOps

Cloud Computing Certification

Trending Cloud Computing Courses

Cloud Computing Fundamentals

Cloud Computing With Microsoft Azure

Cloud Computing With Salesforce Heroku

Cloud Computing With IBM Bluemix

Conclusion

Important Java concepts you must know!

Conclusion:

References:

AI ML Certifications worth it?

Introduction

Growing Demand for Skills in AI and ML

Pros of AI and ML Certifications

Cons of AI and ML Certifications

Conclusion