Development > Programming Languages
4.5 h
£19.99 £12.99
Software Fundamentals: The Beginner's Guide to Programming
What you will learn:
- Foundational programming concepts applicable across various languages.
- The art of problem-solving and computational thinking for coding challenges.
- Critical thinking skills essential for success in software development.
- Effective utilization of AI tools like ChatGPT for enhanced learning.
- Understanding the different programming paradigms and their use cases.
- Developing algorithms and creating pseudocode and flowcharts.
- Mastering core programming concepts, including data types, variables, control structures, and functions.
- Implementing object-oriented programming principles for efficient and reusable code.
- Handling errors, debugging code effectively, and understanding exception handling.
- Gaining proficiency in file input/output, command-line arguments, and modular programming.
- Decoding the process of program translation, including compilers, interpreters, and assembly language.
- Choosing the right programming language and Integrated Development Environment (IDE) for your projects.
- Comprehending the intricate relationship between hardware and software in computer systems.
- Developing essential programming skills through practice, personal projects, and building a strong programming portfolio.
- Learning how to utilize online resources and communities for ongoing support and learning.
- Leveraging AI tools like ChatGPT, Claude, Gemini for independent learning and problem-solving.
- Recognizing the impact of emerging trends like AI on the future of software development.
Description
Embark on your coding journey with a solid foundation in programming fundamentals. This course is designed for absolute beginners, guiding you through essential concepts, problem-solving techniques, and critical thinking skills – all while leveraging the power of AI tools as learning assistants.
What You'll Learn:
Discover core programming fundamentals applicable across all programming languages.
Develop essential problem-solving techniques used by professional software engineers.
Cultivate critical thinking skills crucial for real-world programming challenges.
Harness the power of AI tools like ChatGPT to enhance your learning experience.
Why This Course Stands Out:
Learn language-agnostic concepts that apply to any programming language.
Focus on developing problem-solving and critical thinking abilities, not just memorizing syntax.
Benefit from AI-assisted learning with categorized prompts for deeper understanding.
Taught by an industry veteran with over 17 years of diverse programming experience.
Course Highlights:
No prior programming experience is required.
Learn to think like a programmer, not just code.
Gain a comprehensive understanding of software development beyond just coding.
Prepare yourself to confidently learn any programming language.
Each lecture includes AI tool prompts categorized as:
Basic Understanding
Practical Applications
AI Assistance
Going Deeper
Fun and Thought-Provoking
Career Focus
By the end of this course, you'll be equipped with:
A solid understanding of essential programming concepts.
The ability to confidently tackle coding challenges.
Skills to leverage AI tools effectively in your learning journey.
A strong foundation to confidently embark on learning any programming language.
Perfect for:
Absolute beginners in programming.
Career switchers considering software development.
Students looking to supplement their formal education.
Anyone interested in understanding the fundamentals of coding.
Go beyond just coding – learn to think like a programmer. Take the first step towards becoming a confident and well-rounded programmer by enrolling now!
Curriculum
Introduction to Software Engineering
This introductory section sets the stage for your coding journey. You'll gain a comprehensive understanding of the software development lifecycle, the crucial role software plays in modern society, and the business aspects of software development. Lectures cover topics like the course overview, the impact of software on society, the business of software, and an in-depth look at the software development lifecycle.
The Simple Computer
Delve into the heart of computing with this section. You'll learn how software interacts with hardware, explore data flow, and understand the concept of concurrency. The section includes lectures on the fundamental concepts of software and hardware interaction, the flow of data within a computer, the basics of multitasking and concurrency, and a practical exploration of the simple computer using AI tools like ChatGPT, Claude, Gemini, and Llama.
The Programming Language Ecosystem
Gain a deep understanding of programming languages and the tools that surround them. This section covers language specifications, implementations, facilities, backward compatibility, type systems, package managers, and the importance of avoiding code duplication. The lectures explore topics like understanding language specifications and implementations, exploring language facilities like grammar and virtual machines, the significance of backward compatibility in languages, the distinction between dynamic and static typing, the role of package managers, the DRY (Don't Repeat Yourself) principle, and how to choose the right development environment and tools.
Computational Thinking and Problem Solving
Master the art of computational thinking and problem-solving. Learn how to break down complex problems into smaller, manageable components, design algorithms, create flowcharts and pseudocode, and organize data effectively. The section includes lectures on problem decomposition, algorithms, flowcharting and pseudocode creation, data organization using arrays and lists, more advanced data structures like stacks, queues, and trees, problem-solving strategies, and exploring computational thinking using AI tools.
Programming Fundamentals
Dive into the core programming concepts that form the foundation of any coding language. This section covers variables, data types, operators, control structures (conditional statements and loops), functions, modular programming, and more. The lectures include topics like variables and data types, operators, conditional statements, loops, function introduction, advanced function concepts, modularity in programming, and exploring programming fundamentals using AI tools.
Object-Oriented Programming - Basics
Gain a solid understanding of object-oriented programming (OOP), a popular paradigm in modern software development. Learn about classes, objects, encapsulation, inheritance, polymorphism, and the SOLID design principles. The lectures include an introduction to OOP, classes and objects, encapsulation and abstraction, inheritance, polymorphism, OOP design principles, practical applications of OOP, and exploring OOP concepts with AI tools.
Software Architecture and Design
Explore the crucial aspects of software architecture and design. You'll learn about design patterns, principles, scalability, performance, accessibility, and inclusive design. The section covers topics like software architecture and design fundamentals, design patterns and principles, scalability and performance considerations, accessibility and inclusive design, and using AI tools to explore software architecture and design.
Development Environments and Tools
Discover the world of development environments and tools that software developers use. This section covers topics like choosing the right development environment, version control systems, package managers, and exploring development tools using AI. The lectures include understanding the trap of choosing the right development environment, version control systems, package managers, and LLM exploration of development tools.
Web and Mobile Development Overview
Gain an understanding of the exciting world of web and mobile development. Explore the differences between front-end and back-end development, learn about mobile app development concepts, and discover emerging trends. The section includes lectures on web and mobile development basics, front-end vs. back-end development, mobile app development concepts, emerging trends, and exploring web and mobile development with AI tools.
Database Fundamentals: Relational vs Non-Relational
Dive into the fundamental concepts of databases, learning about the differences between relational and non-relational databases. The section includes lectures on understanding database fundamentals, exploring relational and non-relational databases, and exploring database concepts with AI tools.
DevOps and Deployment
Understand the essential practices and tools for building, testing, deploying, and monitoring software. This section covers DevOps fundamentals, CI/CD, cloud computing, containerization with Docker, orchestration with Kubernetes, DevOps best practices, practical implementation, and exploring DevOps with AI tools. The lectures cover topics like DevOps and CI/CD introduction, cloud computing essentials, containerization and Docker, orchestration with Kubernetes, DevOps best practices, practical implementation, and exploring DevOps using AI tools.
Testing and Debugging
Master the art of testing and debugging your code. Learn about different types of testing, debugging basics, exception handling, best practices, and how to enhance your skills with AI. The lectures cover topics like testing and debugging introduction, different types of testing, debugging basics, exception handling, testing and debugging best practices, and using AI tools to enhance your testing and debugging skills.
Security in Software Development
Ensure the security of your software by understanding common threats, best practices, and how to integrate security into your development processes. This section covers topics like security in software development introduction, common security threats (part 1 and 2), security best practices (part 1 and 2), integrating security into development processes, emerging trends, and exploring security with AI tools.
Data Science and AI in Software Development
Learn how data science and artificial intelligence are transforming software development. This section covers basic data analysis concepts, an introduction to machine learning, and how to integrate AI into your software projects. The lectures cover topics like basic data analysis concepts, an introduction to machine learning, and AI integration in software.
Professional Skills in Software Development
Develop essential professional skills for a successful career in software engineering. Learn effective communication in tech teams, collaboration and project management, and understanding agile methodologies. The lectures cover topics like effective communication in tech teams, collaboration and project management in software development, and understanding agile methodologies.
Software Development Practices
Improve your coding practices for readability, maintainability, and collaboration. This section covers topics like code readability and maintainability, documentation, and open source development.
Career Development in Software Engineering
Gain insights into career development in software engineering. This section covers topics like understanding roles and designations in software engineering, building a compelling portfolio, and continuous learning strategies for software engineers. The lectures cover topics like understanding roles and designations in software engineering, building a compelling software engineering portfolio, and continuous learning strategies for software engineers.
Ethical Considerations in Software Development
Develop a strong ethical foundation for your software development practices. This section covers topics like responsible development practices, privacy and data protection, and bias in AI and algorithms.
Future Trends in Software Engineering
Explore the exciting future of software engineering with insights into emerging technologies, the rise of low-code/no-code platforms, and the evolving role of AI in software development. The lectures cover topics like emerging technologies in software engineering, the rise of low-code/no-code platforms, and the evolving role of AI in software development.
Conclusion
This concluding section wraps up the course with closing remarks and reinforces the key takeaways.