SOFTWARE-ENGG.AE3
Software Engineering for Beginners
Everything you need to know for developing high-quality software programs is covered here.
- Practice in 27 Laboratorios prácticos — nothing to install
- 22 Lecciones interactivas y 167 topics mapped to the official exam objectives
- 173 Preguntas del examen de práctica
Beginner A tu propio ritmo · 1 año de acceso
27 LiveLabs prácticos
Practice real IT tasks in guided environments.
- Entornos reales
- Calificación automática
- Sin instalación
22Lecciones interactivas
167Topics
27Laboratorio en vivo
173Preguntas del examen de práctica
522Tarjetas didácticas
522Glosario de términos
01 / Habilidades que obtendrás
What you will be able to do
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No se requiere tarjeta de crédito
The Software Engineering training for beginners is the perfect course to start a career in this exciting field of software development and programming. You’ll gain the knowledge and skills needed to design user-friendly software solutions from scratch. The comprehensive course content covers the core principles of software engineering, including requirements gathering, design, development, testing, deployment, and maintenance. You’ll be exploring Software Development Lifecycle (SDLC), and programming with a focus on algorithms, data structures, and popular programming languages. By the end of this online Software Engineering course for beginners, you’ll be able to design and develop user-friendly software interfaces.
- Complete understanding of SDLC from requirements gathering to deployment and maintenance
- Create both high-level and low-level designs, including object-oriented design (OOD) and database design
- Ensure software quality with various testing techniques like unit testing, integration testing, system testing, acceptance testing
- Strategize and process software deployment in various environments
- Updating software to address bugs, security vulnerabilities, and new features
- Expertise in a programming language (Python, Java, C++) and paradigms (procedural, object-oriented, functional)
- Knowledge of fundamental data structures and algorithms
- Utilize version control systems to manage code changes and collaborate with other developers
- Knowledge of software architectural patterns for designing, scalability and maintenance
- Familiarity with UX principles for designing user-friendly software interfaces
Target Career Roles
- Científicos de datos
02 / Lecciones y laboratorios
See exactly what you will learn and practice
Plan de estudios
22 Lecciones interactivas · 167 topics01 Introduction 3 topics +
- What Is Software Engineering?
- Why Is Software Engineering Important?
- Who Should Read This Course?
02 Software Engineering from 20,000 Feet 11 topics · 1 Laboratorio en vivo +
- Requirements Gathering
- High-Level Design
- Low-Level Design
- Development
- Testing
- Deployment
- Maintenance
- Wrap-Up
- Everything All At Once
- Summary
- What You Learned In This Lesson
1 Laboratorio en vivo in this lesson — see the labs panel →
03 Before the Beginning 8 topics · 2 Laboratorio en vivo +
- Document Management
- Historical Documents
- Code
- Code Documentation
- Application Documentation
- Summary
- What You Learned In This Lesson
2 Laboratorio en vivo in this lesson — see the labs panel →
04 The Team 9 topics · 1 Laboratorio en vivo +
- Team Features
- Team Roles
- Team Culture
- Interviews
- Physical Environment
- Collaboration Software
- Outsourcing
- Summary
- What You Learned In This Lesson
1 Laboratorio en vivo in this lesson — see the labs panel →
05 Project Management 4 topics · 2 Laboratorio en vivo +
- Executive Support
- Project Management
- Summary
- What You Learned In This Lesson
2 Laboratorio en vivo in this lesson — see the labs panel →
06 Requirements Gathering 10 topics · 2 Laboratorio en vivo +
- Requirements Defined
- Requirement Categories
- Gathering Requirements
- Refining Requirements
- Recording Requirements
- Validation And Verification
- Changing Requirements
- Digital Transformation
- Summary
- What You Learned In This Lesson
2 Laboratorio en vivo in this lesson — see the labs panel →
07 High-Level Design 5 topics · 1 Laboratorio en vivo +
- The Big Picture
- What To Specify
- Uml
- Summary
- What You Learned In This Lesson
1 Laboratorio en vivo in this lesson — see the labs panel →
08 Low-Level Design 6 topics · 3 Laboratorio en vivo +
- Design Approaches
- Oo Design
- Database Design
- When To Optimize
- Summary
- What You Learned In This Lesson
3 Laboratorio en vivo in this lesson — see the labs panel →
09 Security Design 14 topics +
- Security Goals
- Security Types
- Cybersecurity
- Shift-Left Security
- Malware Menagerie
- Phishing And Spoofing
- Social Engineering Attacks
- Crapware
- Password Attacks
- User Access
- Countermeasures
- Cyber Insurance
- Summary
- What You Learned In This Lesson
10 User Experience Design 5 topics · 3 Laboratorio en vivo +
- Design Mindset
- Design Guidelines
- Form Design
- Summary
- What You Learned In This Lesson
3 Laboratorio en vivo in this lesson — see the labs panel →
11 Programming 6 topics · 2 Laboratorio en vivo +
- Tools
- Algorithms
- Top-Down Design
- Programming Tips And Tricks
- Summary
- What You Learned In This Lesson
2 Laboratorio en vivo in this lesson — see the labs panel →
12 Algorithms 5 topics · 2 Laboratorio en vivo +
- Algorithm Study
- Algorithmic Approaches
- Algorithm Characteristics
- Summary
- What You Learned In This Lesson
2 Laboratorio en vivo in this lesson — see the labs panel →
13 Programming Languages 6 topics · 2 Laboratorio en vivo +
- The Myth Of Picking A Language
- Language Generations
- Language Families
- The Best Language
- Summary
- What You Learned In This Lesson
2 Laboratorio en vivo in this lesson — see the labs panel →
14 Testing 9 topics · 1 Laboratorio en vivo +
- Testing Goals
- Reasons Bugs Never Die
- Levels Of Testing
- Testing Techniques
- Testing Habits
- How To Fix A Bug
- Estimating Number Of Bugs
- Summary
- What You Learned In This Lesson
1 Laboratorio en vivo in this lesson — see the labs panel →
15 Deployment 7 topics +
- Scope
- The Plan
- Cutover
- Deployment Tasks
- Deployment Mistakes
- Summary
- What You Learned In This Lesson
16 Metrics 5 topics · 1 Laboratorio en vivo +
- Wrap Party
- Defect Analysis
- Software Metrics
- Summary
- What You Learned In This Lesson
1 Laboratorio en vivo in this lesson — see the labs panel →
17 Maintenance 5 topics · 1 Laboratorio en vivo +
- Maintenance Costs
- Task Categories
- Task Execution
- Summary
- What You Learned In This Lesson
1 Laboratorio en vivo in this lesson — see the labs panel →
18 Predictive Models 11 topics · 1 Laboratorio en vivo +
- Model Approaches
- Prerequisites
- Predictive And Adaptive
- Waterfall
- Waterfall With Feedback
- Sashimi
- Incremental Waterfall
- V-Model
- Software Development Life Cycle
- Summary
- What You Learned In This Lesson
1 Laboratorio en vivo in this lesson — see the labs panel →
19 Iterative Models 9 topics · 1 Laboratorio en vivo +
- Iterative Vs. Predictive
- Iterative Vs. Incremental
- Prototypes
- Spiral
- Unified Process
- Cleanroom
- Cowboy Coding
- Summary
- What You Learned In This Lesson
1 Laboratorio en vivo in this lesson — see the labs panel →
20 RAD 15 topics · 1 Laboratorio en vivo +
- RAD Principles
- James Martin Rad
- Agile
- XP
- Scrum
- Lean
- Crystal
- Feature-Driven Development
- Disciplined Agile Delivery
- Primary Roles
- Secondary Roles
- Dynamic Systems Development Method
- Kanban
- Summary
- What You Learned In This Lesson
1 Laboratorio en vivo in this lesson — see the labs panel →
21 Software Ethics 5 topics +
- Ethical Behavior
- Responsibility
- Thought Experiments
- Summary
- What You Learned In This Lesson
22 Future Trends 9 topics +
- Security
- UX/UI
- Code Packaging
- Cloud Technology
- Software Development
- Algorithms
- Tech Toys
- Summary
- What You Learned In This Lesson
Laboratorios prácticos Our edge
27 Laboratorio en vivos- Understanding Software Development Project Phases
- Sending an Email Using Confidential Mode
- Documenting and Commenting on the HTML5 Code
- Analyzing Team-Building Features
- Creating a PERT Chart
- Creating a Gantt Chart
- Understanding the FURPS+ Categories
- Understanding Requirements Techniques and Methods
- Understanding the Class Diagram Visibility Symbols
- Normalizing Unnormalized Data to 1NF
- Normalizing Data from 1NF to 2NF
- Normalizing Data from 2NF to 3NF
- Customizing the Word's Ribbon Interface
- Understanding Printer Configuration
- Designing a Form
- Using the Sorting Algorithm
- Implementing Software Programming Using Factorial
- Understanding Recursion
- Implementing Caching Using ARP
- Using a Fourth-Generation Language to Retrieve Specific Data
- Using an Object-Oriented Language to Create a Class
- Understanding the Testing Techniques
- Creating an Ishikawa Diagram
- Understanding the Types of Maintenance Tasks
- Understanding the Waterfall Model
- Understanding the Spiral Model
- Understanding the RAD Model
Los laboratorios se ejecutan en tu navegador; no hay nada que instalar.
03 / Preguntas frecuentes
Preguntas antes de empezar
Who should do this Software Engineering training course? +
This is the ideal training program for all those wanting to make a career in the exciting field. It is recommended to beginners wanting to start learning software development; professionals from other fields wanting to shift into software engineering; or enthusiasts wanting to explore this domain.
Do I need any prior experience to take this Software Engineering course? +
No, you don’t need any prior knowledge or experience for taking this course.
Will I learn any advanced topics in this course? +
Along with the core concepts and fundamental knowledge of software engineering, this course also touches upon advanced topics like complex algorithms and data structures, distributed systems, machine learning and artificial intelligence, cybersecurity, and cloud computing.
What career options can I explore after completing this course? +
There are a variety of job opportunities you can explore that include front-end developer, back-end developer, full-stack developer, mobile app developer, software engineer, game developer, data scientist, cybersecurity engineer, cloud engineer, DevOps engineer and many more.
How can I access my certificate after course completion? +
You’ll have to score at least 90% in the readiness score of your final assessment exam to get your badge of certification.
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Wondering How To Become A Software Engineer
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- 1 año de acceso completo
- 27 LiveLab incluido
- Certificado de finalización
No se requiere tarjeta de crédito