Featured Post

Claude Code for Beginners: Step-by-Step AI Coding Tutorial

-
Image
 Artificial Intelligence is changing how developers write software. From generating code to fixing bugs and explaining complex logic, AI tools are becoming everyday companions for programmers. One such powerful tool is Claude Code , powered by Anthropic’s Claude AI model. If you’re a beginner or  an experienced developer looking to improve productivity, this guide will help you understand  what Claude Code is, how it works, and how to use it step-by-step . Let’s get started. What is Claude Code? Claude Code is an AI-powered coding assistant built on top of Anthropic’s Claude models. It helps developers by: Writing code from natural language prompts Explaining existing code Debugging errors Refactoring code for better readability Generating tests and documentation In simple words, you describe what you want in plain English, and Claude Code helps turn that into working code. It supports multiple programming languages, such as: Python JavaScri...
Post a Comment

Top course contents to learn in Cloud computing

-
Cloud course contents
Top 20 modules or contents must to learn wherever you take course on cloud computing. The list fully analyzed from various sources and finalized.

Module 1

Fundamental Cloud Computing: Concepts, terminology, technologies, benefits,  challenges, SLAs and business cost metrics associated with cloud computing are covered, along with SaaS, IaaS, PaaS delivery models, common cloud deployment models, and cloud characteristics.

 Module 2: Cloud Technology Concepts
Cloud Technology Concepts: This course covers a range of topics related to cloud computing mechanisms, cloud security threats and controls, and essential cloud technologies. Also addressed are testing, cloud storage, industry standards, and emerging technologies and trends.

 Module 3: Cloud Technology Lab
Cloud Technology Lab: A hands-on lab during which participants apply practices, mechanisms, and technologies to design cloud-based service architectures in order to solve a set of complex problems.

Module 4: Fundamental Cloud Architecture

Fundamental Cloud Architecture: This course delves into the technology architecture of cloud platforms and cloud-based solutions and services by exploring a series of new cloud computing mechanisms and their utilization via a set of cloud computing design patterns.

Module 5: Advanced Cloud Architecture

Advanced Cloud Architecture: Advanced technology architecture topics are addressed in this course with a focus on complex cloud-based solution design, including the incorporation of hybrid cloud deployment models, compound design patterns, and solution architectures that span cloud and on-premise environments.

Module 6: Cloud Architecture Lab

Cloud Architecture Lab: A hands-on lab during which participants apply the patterns, models, concepts, techniques, and mechanisms covered in previous courses, in order to complete a series of architectural and design exercises.

Module 7: Fundamental Cloud Security

Fundamental Cloud Security: This course dives into the implementation technologies behind the cloud security mechanisms first introduced in Module 2, and further explores how these mechanisms and associated security technologies can be configured and combined to establish a cloud security architecture.

Module 8: Advanced Cloud Security

 Advanced Cloud Security: Complex security topics are addressed by this course, which introduces a set of security design patterns that address the application of cloud security mechanisms and technologies in order to establish sophisticated, custom security controls for preventative and reactionary responses to common threats and attacks.

Module 9: Cloud Security Lab

Cloud Security Lab: A hands-on lab during which participants apply the patterns, concepts, techniques, and mechanisms covered in previous courses, in order to complete a series of exercises that present real-world security problems.

Module 10: Fundamental Cloud Governance

Fundamental Cloud Governance: This course covers the essential building blocks required to establish a governance system for cloud environments. Topics include the definition of cloud governance precepts, roles, practices, and processes, along with coverage of common governance challenges and pitfalls specific to cloud computing.

Module 11: Advanced Cloud Governance

Advanced Cloud Governance: Advanced cloud governance topics are addressed by this course, which focuses on establishing complex regulatory controls and precepts for a range of cloud-based IT resources and solutions, and further delves into technologies suitable for automating internal and remote cloud governance tasks.

Module 12: Cloud Governance Lab

Cloud Governance Lab: A hands-on lab during which participants apply the patterns, models, concepts, techniques, and mechanisms covered in previous courses, in order to complete a series of architectural and design exercises.

Module 13: Fundamental Cloud Storage

Fundamental Cloud Storage: This course expands upon the cloud storage topics introduced in Module 2 by further exploring cloud storage devices, structures, and technologies from a more technical and implementation-specific perspective. A set of cloud storage mechanisms and devices are established, along with in-depth coverage of NoSQL and cloud storage services.

Module 14: Advanced Cloud Storage

Advanced Cloud Storage: A number of advanced topics are introduced in this course, including persistent storage, redundant storage, cloud-attached storage, cloud-remote storage, cloud storage gateways, cloud storage brokers, Direct Attached Storage (DAS), Network Attached Storage (NAS), Storage Area Network (SAN), various cloud storage-related design patterns, and the overall information lifecycle management as it applies specifically to cloud-hosted data.
Module 15: Cloud Storage Lab

Cloud Storage Lab : A hands-on lab during which participants apply the patterns, concepts, practices, devices, and mechanisms covered in previous courses, in order to complete a series of exercises that pertain to solving cloud storage problems and creating cloud storage architectures.

Module 16: Fundamental Cloud Virtualization

Fundamental Cloud Virtualization: Core topic areas pertaining to the fundamental virtualization mechanisms and types used within contemporary cloud computing platforms are explored, along with various key performance indicators and related metrics.

Module 17: Advanced Cloud Virtualization

Advanced Cloud Virtualization: A range of specialized and advanced design patterns that build upon Module 16 to explore virtualization-related reliability, performance and integration, as well as combinations of mechanisms are covered, whereby the problem scenario, application, and solution are presented for each individual design pattern.

 Module 18: Cloud Virtualization Lab

Cloud Virtualization Lab: A hands-on lab during which participants apply the models, concepts, and techniques covered in previous courses, in order to complete a series of complex exercises that enable participants to demonstrate proficiency in applying design patterns to solve common problems in cloud-based environments.

 Module 19: Fundamental Cloud Capacity

 Module 20: Advanced Cloud Capacity

Module 21: Cloud Capacity Lab

References

Comments

Post a Comment

Thanks for your message. We will get back you.

Popular posts from this blog

SQL Query: 3 Methods for Calculating Cumulative SUM

-
Image
SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than...
Read more

Step-by-Step Guide to Reading Different Files in Python

-
Image
 In the world of data science, automation, and general programming, working with files is unavoidable. Whether you’re dealing with CSV reports, JSON APIs, Excel sheets, or text logs, Python provides rich and easy-to-use libraries for reading different file formats. In this guide, we’ll explore how to read different files in Python , with code examples and best practices. 1. Reading Text Files ( .txt ) Text files are the simplest form of files. Python’s built-in open() function handles them effortlessly. Example: # Open and read a text file with open ( "sample.txt" , "r" ) as file: content = file.read() print (content) Explanation: "r" mode means read . with open() automatically closes the file when done. Best Practice: Always use with to handle files to avoid memory leaks. 2. Reading CSV Files ( .csv ) CSV files are widely used for storing tabular data. Python has a built-in csv module and a powerful pandas library. Using cs...
Read more

5 SQL Queries That Popularly Used in Data Analysis

-
Image
 Here are five popular SQL queries frequently used in data analysis. 1. SELECT with Aggregations Summarize data by calculating aggregates like counts, sums, averages, etc. SELECT department, COUNT(*) as employee_count, AVG(salary) as average_salary FROM employees GROUP BY department; 2. JOIN Operations  Combine data from multiple tables based on a related column. SELECT e.employee_id, e.name, d.department_name FROM employees e JOIN departments d ON e.department_id = d.department_id; 3. WHERE Clause for Filtering Filter records based on specified conditions. SELECT * FROM sales WHERE sale_date BETWEEN '2024-01-01' AND '2024-12-31'   AND amount > 1000; 4. ORDER BY Clause for Sorting Sort results in ascending or descending order based on one or more columns. SELECT product_name, price FROM products ORDER BY price DESC; 5. GROUP BY with HAVING Clause Group records and apply conditions to the aggregated results. SELECT department, SUM(salary) as total_salaries FROM employ...
Read more