Computer Science, Algorithms, Data Structures, Programming, Distributed Systems, Self-Guided Learning, ChatGPT, OS
Note: Course Free for limited time and limited users(500 limit) so Enroll ASAP. If not free it means you are late. Scroll Down and click Enroll Now button to get enrolled
What You will Learn
- A clear roadmap to self learn computer science systematically to build a robust software career.
- Importance of knowing fundamentals like applied maths, algorithms, networking, file systems, operating systems and other computer science related topics.
- 100+ ChatGPT prompts to learn about complex topics systematically.
- Detailed references to follow up and build expertise as needed.
This course includes:
1.5 hours on-demand video
3 downloadable resources
Access on mobile and TV
Full lifetime access
Certificate of completion
Scroll Down and click Enroll Now Button to get enrolled into the Free Course
Description
Embark on a comprehensive journey into computer science, tailored for aspiring software engineers or those seeking to enhance their skills and propel their careers forward. This meticulously crafted course is your ultimate guide to understanding and mastering the computer science fundamentals critical for software engineering excellence.
What You Will Learn:
– Practical look into Computer Science Topics: Gain a thorough understanding of essential computer science topics, learning not just the ‘what’ but the ‘why’ behind each subject to apply them effectively in your software engineering career.
– Strategic Learning and Resource Selection: Discover how to strategically choose the right topics at the right time in your career, leveraging the best learning resources to master computer science fundamentals efficiently.
– Practical Implementation and Career Capitalization: Learn how to transform theoretical knowledge into practical skills, using your enhanced capabilities to excel in software engineering projects and advance your career.
– Interconnectedness of Computer Science Concepts: Uncover the synergy between various computer science disciplines and how to harness their combined power to solve complex problems and create innovative solutions.
– Career Stage-Specific Learning: Understand the pivotal computer science knowledge and skills pertinent to each stage of your software engineering career, ensuring continuous growth and adaptability to industry changes.
– Professional Development Planning: Assess your current proficiency, set realistic and ambitious learning goals, and develop a personalized roadmap for your professional development in software engineering.
– Curated Learning Resources including ChatGPT prompts: Access a curated list of the most effective learning materials, from online courses and academic lectures to hands-on tutorials, ensuring you learn from the best in the field.
– Real-World Application: Equip yourself with the ability to apply your computer science knowledge to real-world problems, enhancing your problem-solving skills and boosting your career prospects.
Topics Addressed:
– Algorithms and Data Structures
– Applied Mathematics
– Programming languages
– Operating Systems
– Networking
– Software Engineering
– Compiler Design
– File Systems
– Computer Architecture
– Design Patterns
– Database Design
– Distributed Systems
– Security
Why This Course?
Designed with both budding and experienced software engineers in mind, this course offers a unique blend of theoretical depth, practical insights, and personalized learning pathways. Whether you’re starting your career, aiming to switch to software engineering, or looking to climb the career ladder, this course will provide you with the knowledge, skills, and strategic outlook needed to succeed.
By the End of This Course:
You’ll possess a solid foundation in computer science, an understanding of how to effectively apply your knowledge in software engineering contexts, and a clear action plan for your continuous professional growth. Join us to unlock your potential and embark on a successful journey in the ever-evolving field of software engineering.
Enroll now and take the first step towards mastering computer science fundamentals and achieving your software engineering career goals.
Who this course is for:
Software professionals from non computer science background struggling to grow in career
Post Graduates seeking job in software industry after graduation in fields other than computer science.
Application developers trying to move to infrastructure product companies.
Developers curious to build skills beyond coding.
Professionals with ambition of leading teams or running startups.
Professional seeking direction to shape their career in technical or management roles.
Students and professionals willing to go extra mile to learn what the technical lanscape looks like from 30,000 feet
Professionals eager to understand software as a business.
Engineers trying to move from IT services companies to product companies.
Requirements
Planning a career in software industry
No programming experience needed.
Patience and curiosity to follow up about new topics.
Course Content
- 6 sections • 43 lectures • 1h 25m total length
- Getting on the same page
- Why learning algorithms and data structures is necessary for any software job?
- Practical Procedure to learn Data Structures and Algorithms
- Algorithms and Data Structures implementation considerations and impact
- Difference between interview preparation and upskilling
- Why bother learning mathematics when becoming a software engineer?
- Procedure to learn necessary mathematics practically without diving too deep
- Maths in Daily Engineering
- Applied Mathematics relevance check
- Why is learning programming languages necessary to succeed in software industry?
- Areas of focus while learning a programming language from a career perspective
- Applying the knoweledge about a programming language in daily engineering
- Programming languages from a career perspective.
- Purpose of learning Operating Systems to become production ready in career
- Learning operating systems concepts with a practical career mindset
- Operating systems knowledge check
- Purpose of learning computer networking as a career booster
- Collecting the knowledge about networking for building software and solving bugs
- Applying knowledge about networking while working on production systems
- Networking baiscs
- Purpose of understanding software engineering’s role in your career
- Learning the software engineering practices that no single curriculum teaches
- Software engineering as part of daily tasks and eventual career progress
- Software engineering knowledge check
- Importance of learning Compiler design even if sounds esoteric and complex
- Practical systematic approach to learn Compiler design without getting confused
- Using Compiler Design knowledge to creating domain specific software tools
- Compiler design check
- Necessity of learning computer architecture fundamentals in the age of AI
- Parctical approach to learning a broad spectrum topic like computer architecture
- Practically applying knowledge of Computer Architecture to production systems
- Computer Architecture Knowledge check
- Understanding the file systems from a career prespective
- Applying the knowledge of Filesystem to software desing and development
- File Systems
- Why learn about Design Patterns if they keep changing all the time?
- Learning and Applying the Design pattern and programming practices on the fly!
- Design Pattern and programming practices
- Purpose of learning Database design to compliment skills of using SQL etc.
- Procedure to learn necessary database design principles practically
- Applying Database Design knowledge in daily programming and system design
- Databases
- Purpose of learning fundamentals of distributed systems along with Cloud APIs
- How to keep learning distributed systems?
- Using the distributed systems knowledge in production systems and DevOps
- Distributed systems
- Understanding basic cryptography and gathering security information on the fly
- Applying the knowledge about security to build secure software solutions
- [Bonus lecture] Check the attached resources (includes 100+ ChatGPT prompts)
Note: Course Free for limited time and limited users(500 limit) so Enroll ASAP. If not free it means you are late.
