๐ BSc Computer Science โ DONE! โ
This isn't just a certificate. It's the result of years of persistence.
You started this journey as a student trying to figure out coursework, projects, programming, AI/ML, internships and your career direction. Now you can confidently say:
โI am a Computer Science graduate.โ ๐๐ป
And honestly, this is only the beginning. ๐
The next chapter is about turning everything you've learned into real-world experience, software, AI/ML projects, internships/jobs, and eventually your own products or business.
Congratulations, graduate. ๐ฅ๐
You earned this moment. Enjoy it. Celebrate with your family. Take ALL the photos. ๐โค๏ธ
MESHACK OUMA โ BSc COMPUTER SCIENCE ๐๐ป๐ฅ
WE MADE IT! ๐ฅณ๐
#BigData #Analytics #DataScience #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode
#ArtificialIntelligence #ComputerVision #DeepLearning #SoftwareEngineering #TechJobs #100DaysOfCode #DataScience #MLOps
Good Evening X-Family ๐โก
Someone else is ahead.
So what?
Their timeline is not your deadline.
Focus on becoming better
than the person you were yesterday.
Thatโs the real competition.
๐ช Like if you needed this
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๐ฅ Follow for daily motivation
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#GoodEvening #Motivation #SelfGrowth #XFamily #RealCompetition #StayFocused #MindsetShift
Tech Careers Ranked by Learning Curve
๐ข Web Development โ Easy
๐ข UI UX Design โ Easy
๐ข Data Analytics โ Easy
๐ข WordPress Development โ Easy
๐ข QA Testing โ Easy
๐ต App Development โ Medium
๐ต Backend Development โ Medium
๐ต Cloud Computing โ Medium
๐ต Cybersecurity โ Medium
๐ต Database Engineering โ Medium
๐ DevOps โ Hard
๐ Data Science โ Hard
๐ AI Engineering โ Hard
๐ Machine Learning โ Hard
๐ Data Engineering โ Hard
๐ด Deep Learning โ Very Hard
๐ด Computer Vision โ Very Hard
๐ด NLP โ Very Hard
๐ด Distributed Systems โ Very Hard
๐ด AI Research โ Very Hard
Which one are you learning ๐??
APIs (Application Programming Interfaces) are the digital contracts that allow different software systems to talk to each other without needing to know how the underlying code is built.
Depending on your architecture, latency requirements, and system design, APIs generally fall into four major styles:
Core API Lifecycle Concepts
Authentication & Authorization: Securing endpoints using mechanisms like OAuth 2.0, JWT (JSON Web Tokens), or API Keys.
Rate Limiting & Throttling: Protecting backends from overload or abuse via algorithms like Token Bucket or Leaky Bucket (often managed at the API Gateway layer).
Versioning: Managing breaking changes cleanly through URL paths (e.g., /v1/users), query parameters, or request headers.
Documentation & Contracts: Defining explicit API specifications using standards like OpenAPI (Swagger) or Proto files to auto-generate client SDKs and server stubs.
APIs (Application Programming Interfaces) are the digital contracts that allow different software systems to talk to each other without needing to know how the underlying code is built.
Depending on your architecture, latency requirements, and system design, APIs generally fall into four major styles:
Exporting Quantized Models to ONNX Runtime
When exporting quantized PyTorch architectures to ONNX for edge deployment (e.g., TensorRT, ONNX Runtime Edge, or ExecuTorch), export using opset_version=13 or higher to natively preserve QuantizeLinear / DequantizeLinear graph nodes.