Industry-Specific Career Paths

If you're pursuing a cloud certification path, here's a role-based roadmap (includes the latest GenAI certs toward the end) Here's how you can pick your learning path : 1. Solutions Architect Design scalable, secure, and cost-optimized architectures. ↳ AWS: Practitioner → Solutions Architect Associate → Professional ↳ Azure: Fundamentals → Solutions Architect Expert ↳ GCP: Associate Cloud Engineer → Cloud Architect 2. Cloud Data Engineer Build data pipelines, real-time processing, and analytics workflows. ↳ AWS: Practitioner → Solutions Architect → Data Analytics Specialty ↳ Azure: Fundamentals → Data Engineer Associate ↳ GCP: Associate Engineer → Data Engineer 3. Software Developer (Cloud) Develop, deploy, and debug cloud-native applications. ↳ AWS: Practitioner → Developer Associate ↳ Azure: Fundamentals → Developer Associate ↳ GCP: Associate Engineer → Cloud Developer 4. System Administrator Manage infrastructure, virtual machines, IAM, monitoring, and storage. ↳ AWS: Practitioner → SysOps Associate ↳ Azure: Fundamentals → Administrator Associate ↳ GCP: Associate Cloud Engineer 5. DevOps / SRE / Platform Engineer Focus on CI/CD, IaC, automation, and reliability engineering. ↳ AWS: Practitioner → Developer Associate → DevOps Pro ↳ Azure: Fundamentals → Developer Associate → DevOps Expert ↳ GCP: Associate Engineer → DevOps Engineer 6. Cloud Security Engineer Secure cloud workloads, enforce IAM, and manage threat detection. ↳ AWS: Practitioner → SysOps → Security Specialty ↳ Azure: Fundamentals → Administrator → Security Associate ↳ GCP: Associate Engineer → Security Engineer 7. Network Engineer Design and operate scalable and secure cloud networks. ↳ AWS: Practitioner → Solutions Architect → Advanced Networking Specialty ↳ Azure: Fundamentals → Network Engineer Associate ↳ GCP: Associate Engineer → Network Engineer 8. ML / Generative AI Engineer Build, deploy, and scale ML models and GenAI applications. ↳ AWS: Practitioner → Solutions Architect → Machine Learning Specialty → [NEW] Certified AI Practioner ↳ Azure: Fundamentals → AI Engineer Associate → [NEW] Azure AI Fundamentals ↳ GCP: Associate Engineer → ML Engineer → [NEW] Generative AI Leader Quick Prep Tips: - Use hands-on labs: KodeKloud, Qwiklabs, Azure Labs - Leverage free tiers: AWS, Azure, GCP - Follow GitHub repos & official exam guides - For GenAI: explore Vertex AI, Azure OpenAI, AWS Bedrock And my final 2 cents: ↳ Pick your path based on your job goal, not hype ↳ Labs + Experience > Certification badges ↳ GenAI paths require cloud + ML basics first • • • If this helped: 🔔 Follow me(Vishakha) for more structured cloud + AI learning guides ♻️ Share it so others can find their path too! Image source: kodekloud.com

Your Path to Becoming a Network Engineer! 🌐 Are you aiming to master the field of networking? This roadmap covers everything you need to get started and advance your career as a Network Engineer. Here's a breakdown of essential knowledge areas: 🔻 Networking Fundamentals – Understand the OSI and TCP/IP models, and get familiar with devices like routers, switches, and hubs. 🔻 Network Protocols – Learn core protocols such as TCP, UDP, and IP, plus application layer protocols (HTTP, DNS, DHCP). 🔻 Routing and Switching – Master routing protocols (OSPF, BGP), VLANs, and more for efficient network traffic management. 🔻 Network Design and Architecture – Dive into topologies, design principles, and network types (LAN, WAN, WLAN). 🔻 Network Security – Gain expertise in firewalls, VPNs, security protocols, and best practices for protecting networks. 🔻 Wireless Networking – Understand wireless standards, security (WPA2, WPA3), and coverage planning. 🔻 Cloud Networking – Learn about hybrid cloud setups and services from major providers like AWS and Azure. 🔻 Network Automation and Scripting – Get skilled in programming and automation tools (Python, Bash, PowerShell) to simplify network management. 🔻 Monitoring and Troubleshooting – Be proficient with tools for monitoring (NetFlow, SNMP) and troubleshooting network issues. 🔻 Virtualization & Container Networking – Explore SDN, NFV, and container networking with technologies like Docker and Kubernetes. 🔻 Certifications – Start with CompTIA Network+ and work your way up to advanced certifications like Cisco CCIE and VMware VCP-NV. This guide shows that the journey is challenging but achievable with the right steps and commitment.

There's no denying that fast fashion is one of the largest emitters of greenhouse gases. The fashion industry is extremely glamorized, but in reality, it is the exact opposite. India's 1.3 billion people are having their fashion views reshaped by a massive force of fashion influencers and Bollywood's powerful influence. Within the runway shows and magazine covers is an industry grappling with major issues. Like labor exploitation, environmental harm, excessive waste, and health hazards. If you plan to start a fashion business, you must understand how it works internally. So, let's discuss fashion's dark side in this post: 📍 Unethical labor practices: Many fashion workers, especially in developing countries, face exploitation - long hours, unsafe conditions, and meager pay. Child labor is also a harsh reality. According to the International Labour Organization (ILO), the global fashion industry employs around 60 million people, many of whom work in poor conditions and receive low wages. 📍 Environmental damage: The fashion industry is responsible for 10% of global carbon emissions, according to the UN Environment Programme (UNEP). 📍 Body image issues: The promotion of unrealistic beauty standards has created a toxic culture, leading to body shaming, eating disorders, and low self-esteem among consumers. 📍 Animal cruelty: Fur farming, cruel practices in leather and wool production, and animal testing for cosmetics are widespread in the name of fashion. 📍 Lack of diversity: Most brands favor a narrow definition of beauty that excludes different body types, ages, and ethnicities, drawing criticism for the industry's lack of representation. 📍 Overconsumption: Fast fashion encourages a throwaway culture, leading to excessive consumption and waste, driven by the constant desire for new trends. The fashion industry generates around 92 million tons of textile waste each year, according to the Ellen MacArthur Foundation. While fashion brings joy and self-expression, we can't ignore the industry's dark side. What are the steps are you taking to minimize the drawbacks of the fashion industry? I would love to hear your thoughts in the comments. #fashion #sustainability #environment #brands

Breaking the Class Ceiling After my last post on fashion’s misogyny problem, one comment from stopped me mid-scroll: “The industry is still dominated by women who come from wealth… These girls can afford to do internships for free. Therefore have no incentive to speak up and make a change from within. Some class diversity is the missing piece.” As someone who grew up in a working-class family, it resonated with my lived experience, the PRs that loved the sound of their own voives and the C-suite executives that amplified my imposter syndrome. My reply was simple: True class diversity is the missing piece — and it’s often the most overlooked and/or misunderstood one. Because while some corners of fashion are dominated by privileged (largely white) women, the men sitting across the table are often even more privileged (and even more white). The truth is, privilege isn’t just about gender or ethnicity. It's a gatekeeping of all "others". It’s about class — who can afford to stay, to intern for free, to take risks without ruin. As a recent CNN Style feature (link in the comments) pointed out; “McQueen wouldn’t have made it today. He needed a benefactor in Isabella Blow. There aren’t that many people like Izzy kicking around now.” It's a quote that stirred the comment section, but I wholeheartedly agree. It's not impossible for a child of a taxi drivers to make it 2025 but it's extremely unlikely. Why? With tuition fees up 41%, London rents over £20,000 a year, and catwalk slots costing £30,000, the pathway for working-class creativity has all but collapsed. British Fashion Council CEO Laura Weir is trying to change that — waiving show fees, taking designers back into schools, and decentralising access to opportunity. “It is profoundly difficult to be working-class in Britain,” she told CNN. “The barriers are numerous.” And she’s right. But the barriers are deeper rooted than those faced by emerging designers. Also, those barriers don’t end with design. They cut across PR, publishing, marketing, styling — all the “invisible” creative labour that makes fashion function. And into the wider creative industries too! Fashion’s next frontier isn’t just gender or race diversity. It’s class too. Because when only the privileged can afford to create, we lose what made fashion radical in the first place: risk, urgency, and the raw brilliance born from having nothing to lose. Give working-class kids access to the arts — and history shows what happens. You get McQueen. You get Westwood. You get revolution.

As a back-end engineer, do you want to specialize beyond CRUD APIs? Focus on these. 1. Security a. Authentication & Authorization b. Cryptography c. Encryption Algorithms d. OWSAP Top 10 e. SEIM, IDS, IPS, etc. f. misc: OAuth 2.0, JWT, etc. 2. Performance a. Caching strategies b. Rate-limiting & Throatling c. Load balancing d. Choas Engineering e. Fault Tolerance 3. Database Engineering a. Query optimization b. Indexing c. Database trade-offs d. Database transactions and isolation levels e. Sharding and partitioning 4. API Design a. OpenAPI 3.0 standards b. Restful & GraphQL API principles c. Status codes, versioning, and pagination strategies 5. Architecture & Paradigms a. Monolith b. Modular monolith c. Microservices d. Serverless vs Native e. Concurrency & parallelism f. Multithreading g. Optimistic and pessimistic locking 6. Distributed systems a. Microservices patterns b. Event-driven approach c. Serverless vs native approach d. gRPC & Protobuf 7. DevOps a. CI/CD b. Containerization c. Understanding of SLAs d. Incident Management 8. Observability a. Logging, monitoring, and tracing b. Profiling & optimization c. Alerting Learning these will help you make outstanding backend systems that are secured, meet SLAs, and are highly tolerant. What would you like to add? #backend #programming #microservices #database

If you're a B.Tech. student graduating in 2023, 2024, 2025, or 2026 and interested in becoming a network engineer, here's a simplified breakdown: What is a Network Engineer? A network engineer is like a digital architect who designs and maintains computer networks for businesses. This could involve anything from connecting a couple of offices to managing complex cloud systems for big companies. They're also the guardians, keeping these networks safe from cyber threats. How to Get Started: 6 Tips 1. Consider Getting a Degree:   - About 62% of network engineers have a bachelor's degree. Subjects like computer science, information systems, or engineering are relevant. Some leadership roles might even prefer a Master's in Business Administration (MBA) with a focus on information systems. 2. Start with an Entry-Level Role:   - Gain experience by starting with entry-level IT roles, like systems administration or desktop support. This helps you build technical skills and understand IT systems better. 3. Learn Network Security:   - Security is a big deal. Understand concepts like threat intelligence, data protection, and compliance. Consider getting a Professional Certificate in cybersecurity. IBM offers a good one called "IBM Cybersecurity Analyst." 4. Get Familiar with the Cloud:   - Companies are moving to cloud computing, so understanding how to design, optimize, and manage networks in a cloud environment is crucial. Google Cloud offers a "Preparing for Google Cloud Certification: Cloud Network Engineer" course. 5. Learn Programming Languages:   - While not always mandatory, knowing certain programming languages can make you a stronger candidate. Python, Perl, Bash, and Golang are good ones to consider. 6. Get Certified:   - Some companies want certifications. Look into CompTIA A+, CompTIA Network+, and Cisco Certified Network Associate (CCNA). These certifications show your skills to potential employers. Why Network Engineering? - As of October 2023, the average salary for a network engineer in the US is $94,704. - The field involves problem-solving and working with computers, making it a good fit if you enjoy these things. Recommended Courses: - Cisco's "Network Automation Engineering Fundamentals" on Coursera is a good starting point. It covers essential skills like Python programming, network planning, and automation. - Introduction to Networking and Storage (IBM):   - Enhance your IT skills, covering cloud storage, network troubleshooting, and more.    - IBM Cybersecurity Analyst:   - Build skills in cybersecurity, essential for network engineers. - Preparing for Google Cloud Certification: Cloud Network Engineer:   - Advance your career with skills in cloud networking. Remember, these are just starting points. Network engineering is a dynamic field, so staying curious and open to learning is key. Good luck! For more valuable content like this, follow Vikram Gaur . #CloudComputing #NetworkEngineer #CloudEngineer #DevOpsEngineer

Two engineers can both spend 5 years in the oil & gas industry… and end up with completely different careers. Not because one is smarter. In fact, both could be equally capable, and still diverge completely. But because they entered different “systems” from day one. This image looks like the map of oil and gas industry’s value chain in Indonesia 👇 But if you read it carefully, it’s actually a career map. Because every part of this value chain has its own “DNA”: 1. How decisions are made 2. How work gets done 3. How people are shaped over time And this is what no one tells you at university: 𝗬𝗼𝘂’𝗿𝗲 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗰𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝗮 𝗰𝗼𝗺𝗽𝗮𝗻𝘆. 𝗬𝗼𝘂’𝗿𝗲 𝗰𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝗵𝗼𝘄 𝘆𝗼𝘂 𝘄𝗶𝗹𝗹 𝗯𝗲 𝘁𝗿𝗮𝗶𝗻𝗲𝗱 𝘁𝗼 𝘁𝗵𝗶𝗻𝗸. A simple way to read it: • IOC → builds system thinking, global standards, the ability to navigate complex institutions, and drive national impact • OFS, Drilling and Geoscience Services → build specialized technical mastery & operational instinct • EPC → builds execution discipline & project integration • Logistics → builds distribution pipeline for all of the products • Suppliers → builds robust support for procurement needs of the whole value chain None is “better”. But one thing most people underestimate: 𝗧𝗵𝗲 𝘀𝗸𝗶𝗹𝗹𝘀 𝘆𝗼𝘂 ���𝘂𝗶𝗹𝗱 𝗲𝗮𝗿𝗹𝘆 𝘄𝗶𝗹𝗹 𝗱𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗼𝗽𝘁𝗶𝗼𝗻𝘀 𝘆𝗼𝘂 𝗵𝗮𝘃𝗲 𝗹𝗮𝘁𝗲𝗿. I only fully understood this after moving across: OFS → IOC → NOC → Global NOC operating at a different scale. Each transition wasn’t just a job change. It was a process of unlearning and rebuilding how I think and operate. And that process isn’t free. It takes time. If I could go back to 2014, I wouldn’t ask: “Which company should I join?” I would ask: 𝗪𝗵𝗶𝗰𝗵 𝘀𝘆𝘀𝘁𝗲𝗺 𝗱𝗼 𝗜 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗯𝗲 𝘀𝗵𝗮𝗽𝗲𝗱 𝗯𝘆? I wrote a full breakdown of each path, what they actually train you for, and what most people only realize 5–10 years too late: 🔗 https://lnkd.in/dtkWn2Sc If you’re entering the industry today: Where would you choose to start, and why? #Rishare #FuelingYourCareer #EnergizingYourCareer #GlobalEnergyTalent

Today is National Skilled Trades Day, so I want to take a moment to recognize the people whose hands literally build the future. When people think of the technology that enables our way of life, they picture devices, software, algorithms, and perhaps even modern data centers. What they don't always picture are the electricians, welders, pipefitters, HVAC technicians, and construction crews who bring digital infrastructure online. These are the professions that keep the world connected. And young people should know that demand for these skills is only accelerating. The opportunity ahead for skilled trades professionals is extraordinary — good pay, long-term stability, and the satisfaction of building something that matters. At Aligned Data Centers, we're actively investing in these professions. We've partnered with the mikeroweWORKS Foundation. We're also working with trade schools and community colleges to expand technical training programs, and regularly visiting high schools to raise awareness and shift outdated perceptions about what a career in the trades can look like. If you're considering a career in the skilled trades, know that the data centers need you. And to the trades professionals across our country, thank you. Our industry doesn't exist without you. #NationalSkilledTradesDay

Construction vs AI in 2025: Advice to young people asking for career advice: Young professionals keep asking me for career guidance. I feel for them - I never got any useful advice myself. Construction has always been the "steady option": - Persistent demand for skilled workers - Relatively digitally-resistant (for now) - Trades earning exceptional money in today's market - Can't outsource physical building work But the industry faces serious image problems: → Long hours and demanding conditions → Not perceived as "sexy" or innovative → Tradesmen not seen as vital for the industry  → People leaving in droves → Head contractors operating on razor thin margins → Toxic culture in some regions (UK particularly) The smart approach for today's young people considering a career in construction? Find the intersection: skillset + AI expertise + digital knowledge Companies like Hutchies are doing it right: - Taking on cadets - Rotating them through different departments - Helping them find their niche - Building skills across disciplines My advice to young people considering construction: 1. Look for companies that offer apprenticeships or rotation programs 2. Learn how to leverage apps and AI for construction efficiency 3. Focus on skills that enhance rather than compete with automation 4. Build expertise in areas machines can't easily replace The most valuable construction professionals of the future won't just know building. They'll know how to make technology build better. What's your advice for young people considering construction careers? Share below 👇

I need everyone to pay attention to this workforce trend. 👀 We keep hearing about the rise of AI... But you know what’s rising with it? The demand for trades. Not eventually, but right now. To power AI, you need data centers. To build data centers, you need electricians, plumbers, welders, HVAC techs, system designers...real-world builders. Here's some data to back up the theory: 🔌 North America’s data center vacancy just hit a record low of 1.6%...meaning supply can’t keep up with demand. [source: CBRE] A 1.6% vacancy rate means that almost every available data center is already being used. And there aren't enough physical facilities (with power, cooling, wiring, plumbing, etc.) to run their systems at scale. 💰 U.S. data center spending is now over $40B annually, growing 30% year-over-year. [source: Reuters] Real money is already being spent on PHYSICAL infrastructure, not just software and chips. Every part of the build cycle needs to move faster, including the physical labor piece. And when we think about this labor. It should be granular. From planning and site prep to construction, wiring, plumbing, and ongoing maintenance. It all has to be in place. 📈 Employment for electricians is projected to grow 9% through 2034, which is faster than average. That’s ~80,000 openings every year. [source: BLS] A note on these skills, it's not just AI that needs this work. It's also in industries like clean energy, smart infrastructure, advanced manufacturing & robotics, and logistics. (Do your own research here). Here’s what all this means: You don’t need to write a line of code or vibe build anything to ride the AI wave. You can physically wire it, weld it, install it, and scale it. The next millionaires might not be software engineers....They might be the ones who own the companies that build the foundation that AI stands on. If you’re mid-career and rethinking where opportunity lives…Don’t just look at the cloud. Look at the infrastructure and systems that's holding it up. Resources: + The Home Depot currently has a free skilled trades training program that covers the basics of General Construction, Electrical, HVAC, Plumbing, Painting, and more. Check it out here: https://lnkd.in/g8fhVDdi + Google also has a skilled trades program called STAR that's free + paid. They train in construction, carpentry, mechanical, electrical, and fiber optics. Check it out here: https://lnkd.in/gpMxQTtv ☕ Déja White