🧵 Complete Cybersecurity Professional Roadmap 🧵
1. Introduction to Ethical Hacking
- Definition
- Purpose
- Types of Hackers
- Legal and Ethical Considerations
2. Networking Basics
- TCP/IP
- OSI Model
- Subnetting
- DNS
- DHCP
3. Operating Systems
- Linux
- Windows
- macOS
- Command Line Basics
4. Cybersecurity Fundamentals
- Encryption
- Firewalls
- Antivirus
- IDS/IPS
5. Programming Languages
- Python
- Javascript
- Bash Scripting
- SQL
- C/ C++/ Java/ Ruby
6. Scanning and Enumeration
- Port Scanning
- Service Enumeration
- Vulnerability Scanning
7. Exploitation
- Common Vulnerabilities and Exploits
- Metasploit Framework
- Buffer Overflows
8. Web Application Security
- OWASP Top Ten
- SQL Injection
- Cross-Site Scripting (XSS)
9. Wireless Network Hacking
- Wi-Fi Security
- WEP, WPA, WPA2
- Wireless Attacks
10. Social Engineering
- Phishing
- Spear Phishing
- Social Engineering Toolkit (SET)
11. Sniffing and Spoofing
- Man-in-the-Middle Attacks
- ARP Spoofing
- DNS Spoofing
12. Malware Analysis
- Types of Malware
- Sandbox Analysis
- Signature-Based and Behavior-Based Detection
13. Incident Response and Handling
- Incident Response Process
- Digital Forensics
- Chain of Custody
14. Penetration Testing
- Types of Penetration Testing
- Methodology
- Reporting
15. Cryptography
- Symmetric and Asymmetric Encryption
- Hashing Algorithms
- Digital Signatures
16. Mobile Hacking
- Android and iOS Security
- Mobile Application Security
17. Cloud Security
- AWS, Azure, Google Cloud
- Security Best Practices
18. IoT Security
- Internet of Things Risks
- Securing IoT Devices
19. Legal and Compliance
- Computer Fraud and Abuse Act (CFAA)
- GDPR, HIPAA, PCI DSS
20. Cybersecurity Tools
- Nmap, Wireshark, Burp Suite
- Snort, Nessus, Aircrack-ng
21. Career Path and Certifications
- Certified Ethical Hacker (CEH)
- Offensive Security Certified Professional (OSCP)
- CISSP, CompTIA Security+
Protect your Website against potential hacks: t.me/techpsyche/2073
Top 28 Cyber Security Tools: t.me/techpsyche/2042
More Cyber Security Resources Here:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
1. Introduction to Ethical Hacking
- Definition
- Purpose
- Types of Hackers
- Legal and Ethical Considerations
2. Networking Basics
- TCP/IP
- OSI Model
- Subnetting
- DNS
- DHCP
3. Operating Systems
- Linux
- Windows
- macOS
- Command Line Basics
4. Cybersecurity Fundamentals
- Encryption
- Firewalls
- Antivirus
- IDS/IPS
5. Programming Languages
- Python
- Javascript
- Bash Scripting
- SQL
- C/ C++/ Java/ Ruby
6. Scanning and Enumeration
- Port Scanning
- Service Enumeration
- Vulnerability Scanning
7. Exploitation
- Common Vulnerabilities and Exploits
- Metasploit Framework
- Buffer Overflows
8. Web Application Security
- OWASP Top Ten
- SQL Injection
- Cross-Site Scripting (XSS)
9. Wireless Network Hacking
- Wi-Fi Security
- WEP, WPA, WPA2
- Wireless Attacks
10. Social Engineering
- Phishing
- Spear Phishing
- Social Engineering Toolkit (SET)
11. Sniffing and Spoofing
- Man-in-the-Middle Attacks
- ARP Spoofing
- DNS Spoofing
12. Malware Analysis
- Types of Malware
- Sandbox Analysis
- Signature-Based and Behavior-Based Detection
13. Incident Response and Handling
- Incident Response Process
- Digital Forensics
- Chain of Custody
14. Penetration Testing
- Types of Penetration Testing
- Methodology
- Reporting
15. Cryptography
- Symmetric and Asymmetric Encryption
- Hashing Algorithms
- Digital Signatures
16. Mobile Hacking
- Android and iOS Security
- Mobile Application Security
17. Cloud Security
- AWS, Azure, Google Cloud
- Security Best Practices
18. IoT Security
- Internet of Things Risks
- Securing IoT Devices
19. Legal and Compliance
- Computer Fraud and Abuse Act (CFAA)
- GDPR, HIPAA, PCI DSS
20. Cybersecurity Tools
- Nmap, Wireshark, Burp Suite
- Snort, Nessus, Aircrack-ng
21. Career Path and Certifications
- Certified Ethical Hacker (CEH)
- Offensive Security Certified Professional (OSCP)
- CISSP, CompTIA Security+
Protect your Website against potential hacks: t.me/techpsyche/2073
Top 28 Cyber Security Tools: t.me/techpsyche/2042
More Cyber Security Resources Here:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Code Rushing
You have likely heard about this. Sometimes, whether due to a lack of diligence or the pressure of an approaching deadline, we rush straight into writing code just to get something functional. We jump directly to coding without fully grasping the problem at hand - this is what is known as "code rushing."
This is a common pitfall, especially for beginners. Before you start writing code, it is best to take the time to thoroughly analyze and break down the problem you are trying to solve.
You have likely heard about this. Sometimes, whether due to a lack of diligence or the pressure of an approaching deadline, we rush straight into writing code just to get something functional. We jump directly to coding without fully grasping the problem at hand - this is what is known as "code rushing."
This is a common pitfall, especially for beginners. Before you start writing code, it is best to take the time to thoroughly analyze and break down the problem you are trying to solve.
Forwarded from Remote Chrome | RemoteChrome.com | Remote Jobs
Remote Chrome
5 Core Habits That Separate the Wealthy from the Rest: The Mind of an Entrepreneur - Remote Chrome
Have you ever wondered why some people accumulate generational wealth while others live paycheck to paycheck, regardless of how much their salaries increase?
5 Core Habits That Separate the Wealthy from the Rest: The Mind of an Entrepreneur
Read Here: https://remotechrome.com/5-core-habits-that-separate-the-wealthy-from-the-rest-the-mind-of-an-entrepreneur/
Read Here: https://remotechrome.com/5-core-habits-that-separate-the-wealthy-from-the-rest-the-mind-of-an-entrepreneur/
Forwarded from Mobile Dev Resources . Android . iOS . Flutter . Kotlin . Swift . Java . React Native
🎯 System Design in Mobile Programming
When we say System Design in the mobile world, it means designing the structure and architecture of the entire system; from data management to security and scalability.
1️⃣ Mobile Application Architecture
📱 Client-Side (App Layer):
Internal Architecture:
MVP, MVVM, MVI or Clean Architecture
State Management:
(ViewModel in Android, ObservableObject in SwiftUI)
Internal Cache:
SQLite, Realm, Room, CoreData
Dependency Injection:
(Like Hilt/Dagger or Koin)
🌐 Backend Integration:
API: REST or GraphQL
Authentication: (OAuth2, JWT)
Sync & Offline-first
2️⃣ Data Flow
🔄 Request/Response Cycle:
Repository → API Client → Server
📦 Offline Handling:
First, the data is stored in the Local DB, then it is synced with the server.
⚡️ Real-time Updates:
WebSocket, Firebase Realtime DB, gRPC
3️⃣ Scalability & Performance
The app should be scalable for millions of users 🚀
Backend → Load Balancing
Use CDN for images and files
Pagination and Lazy Loading on the app side
Push Notification with FCM/APNs
4️⃣ Security
Encryption (SharedPreferences/Keychain) 🔐
HTTPS + SSL Pinning
Token Refresh Handling
Avoid Reverse Engineering (ProGuard, R8, Obfuscation)
5️⃣ Observability
Logging: (Crashlytics, Sentry)
Analytics: (Firebase, Mixpanel)
Feature Flagging
for gradual rollout
📌 Simple example: Reservation app
1. App:
User searches
2. API Gateway:
Request goes to microservice Search
3. Search Service:
Fetches data from
DB (Elasticsearch / PostgreSQL)
4. Caching Layer:
And Redis or Room returns frequently used results quickly
5. App:
Shows results and stores in Local DB for offline use
✨ Summary:
System design means thinking about the entire app lifecycle; from the mobile-side code structure to server-side communication, security, performance, and user experience.
Must-Know things for an App Developer: t.me/mobiledevresourcestp/154
Mobile App Development Frameworks & Their Use Cases: t.me/mobiledevresourcestp/157
Top 5 Must-Subscribe YouTube Channels for Flutter Developers : t.me/mobiledevresourcestp/158
Join Our WhatsApp Channel:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
When we say System Design in the mobile world, it means designing the structure and architecture of the entire system; from data management to security and scalability.
1️⃣ Mobile Application Architecture
📱 Client-Side (App Layer):
Internal Architecture:
MVP, MVVM, MVI or Clean Architecture
State Management:
(ViewModel in Android, ObservableObject in SwiftUI)
Internal Cache:
SQLite, Realm, Room, CoreData
Dependency Injection:
(Like Hilt/Dagger or Koin)
🌐 Backend Integration:
API: REST or GraphQL
Authentication: (OAuth2, JWT)
Sync & Offline-first
2️⃣ Data Flow
🔄 Request/Response Cycle:
Repository → API Client → Server
📦 Offline Handling:
First, the data is stored in the Local DB, then it is synced with the server.
⚡️ Real-time Updates:
WebSocket, Firebase Realtime DB, gRPC
3️⃣ Scalability & Performance
The app should be scalable for millions of users 🚀
Backend → Load Balancing
Use CDN for images and files
Pagination and Lazy Loading on the app side
Push Notification with FCM/APNs
4️⃣ Security
Encryption (SharedPreferences/Keychain) 🔐
HTTPS + SSL Pinning
Token Refresh Handling
Avoid Reverse Engineering (ProGuard, R8, Obfuscation)
5️⃣ Observability
Logging: (Crashlytics, Sentry)
Analytics: (Firebase, Mixpanel)
Feature Flagging
for gradual rollout
📌 Simple example: Reservation app
1. App:
User searches
2. API Gateway:
Request goes to microservice Search
3. Search Service:
Fetches data from
DB (Elasticsearch / PostgreSQL)
4. Caching Layer:
And Redis or Room returns frequently used results quickly
5. App:
Shows results and stores in Local DB for offline use
✨ Summary:
System design means thinking about the entire app lifecycle; from the mobile-side code structure to server-side communication, security, performance, and user experience.
Must-Know things for an App Developer: t.me/mobiledevresourcestp/154
Mobile App Development Frameworks & Their Use Cases: t.me/mobiledevresourcestp/157
Top 5 Must-Subscribe YouTube Channels for Flutter Developers : t.me/mobiledevresourcestp/158
Join Our WhatsApp Channel:
whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
OpenAI’s GPT-6 Astra just improved another AI by editing its brain. Literally.
MIT researchers gave Astra access to the weights of Alibaba’s Qwen model and asked it to fix a problem: the model kept getting stuck in repetitive reasoning loops instead of finishing its answers.
Rather than retraining Qwen, Astra figured out which weights were causing the issue and changed them directly.
The results are pretty wild:
• Only 0.016% of the model’s weights were modified
• Its MATH-500 score jumped from 7.9% to 48.1%
• Instruction-following improved from 21% to 62.3%
• The share of math responses hitting the output limit dropped from 93% to 33%
The researchers call this weight-space programming. Essentially, one AI edits the internal parameters of another AI to change how it behaves.
It didn’t work nearly as well on Google’s Gemma 3, so this is far from a universal fix.
🔆 t.me/techpsyche
MIT researchers gave Astra access to the weights of Alibaba’s Qwen model and asked it to fix a problem: the model kept getting stuck in repetitive reasoning loops instead of finishing its answers.
Rather than retraining Qwen, Astra figured out which weights were causing the issue and changed them directly.
The results are pretty wild:
• Only 0.016% of the model’s weights were modified
• Its MATH-500 score jumped from 7.9% to 48.1%
• Instruction-following improved from 21% to 62.3%
• The share of math responses hitting the output limit dropped from 93% to 33%
The researchers call this weight-space programming. Essentially, one AI edits the internal parameters of another AI to change how it behaves.
It didn’t work nearly as well on Google’s Gemma 3, so this is far from a universal fix.
🔆 t.me/techpsyche
Tech Psyche . Updates . Tech Tips & Tricks . Programming , Tech Course
OpenAI’s GPT-6 Astra just improved another AI by editing its brain. Literally. MIT researchers gave Astra access to the weights of Alibaba’s Qwen model and asked it to fix a problem: the model kept getting stuck in repetitive reasoning loops instead of finishing…
Still, think about what happened here. An AI identified a problem inside another neural network and fixed it by changing a tiny fraction of its numbers. No additional training required.
If this approach becomes reliable, fixing AI models might eventually look more like debugging software than training a new model from scratch.
And that’s a pretty strange thought.
If this approach becomes reliable, fixing AI models might eventually look more like debugging software than training a new model from scratch.
And that’s a pretty strange thought.
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OpenAI CEO Sam Altman warns AI will expose far MORE security flaws than experts expect.
AI is getting better at hunting down hidden security holes, he says, and it has only just started looking. “We are in a world of many more serious vulnerabilities than we expect.”
🔆 t.me/techpsyche
AI is getting better at hunting down hidden security holes, he says, and it has only just started looking. “We are in a world of many more serious vulnerabilities than we expect.”
🔆 t.me/techpsyche
Forwarded from Kenya Talent Help | Jobs & Opportunities | Jobs in Kenya | Kenya Jobs | Careers | Job Vacancies Kenya
KenyaTrends.co.ke
7 Proven Strategies From Self-Made Millionaires - Trends
Achieving financial freedom is rarely the result of a single lucky break or an overnight windfall. For most self-made millionaires, building lasting wealth is
7 Proven Strategies From Self-Made Millionaires
Read Here: https://kenyatrends.co.ke/7-proven-strategies-from-self-made-millionaires
Read Here: https://kenyatrends.co.ke/7-proven-strategies-from-self-made-millionaires
Forwarded from SQL Resources TP
Master SQL step-by-step! From basics to advanced, here are the key topics you need for a solid SQL foundation. 🚀
1. Foundations:
- Learn basic SQL syntax, including SELECT, FROM, WHERE clauses.
- Understand data types, constraints, and the basic structure of a database.
2. Database Design:
- Study database normalization to ensure efficient data organization.
- Learn about primary keys, foreign keys, and relationships between tables.
3. Queries and Joins:
- Practice writing simple to complex SELECT queries.
- Master different types of joins (INNER, LEFT, RIGHT, FULL) to combine data from multiple tables.
4. Aggregation and Grouping:
- Explore aggregate functions like COUNT, SUM, AVG, MAX, and MIN.
- Understand GROUP BY clause for summarizing data based on specific criteria.
5. Subqueries and Nested Queries:
- Learn how to use subqueries to perform operations within another query.
- Understand the concept of nested queries and their practical applications.
6. Indexing and Optimization:
- Study indexing for enhancing query performance.
- Learn optimization techniques, such as avoiding SELECT * and using appropriate indexes.
7. Transactions and ACID Properties:
- Understand the basics of transactions and their role in maintaining data integrity.
- Explore ACID properties (Atomicity, Consistency, Isolation, Durability) in database management.
8. Views and Stored Procedures:
- Create and use views to simplify complex queries.
- Learn about stored procedures for reusable and efficient query execution.
9. Security and Permissions:
- Understand SQL injection risks and how to prevent them.
- Learn how to manage user permissions and access control.
10. Advanced Topics:
- Explore advanced SQL concepts like window functions, CTEs (Common Table Expressions), and recursive queries.
- Familiarize yourself with database-specific features (e.g., PostgreSQL's JSON functions, MySQL's spatial data types).
11. Real-world Projects:
- Apply your knowledge to real-world scenarios by working on projects.
- Practice with sample databases or create your own to reinforce your skills.
12. Continuous Learning:
- Stay updated on SQL advancements and industry best practices.
- Engage with online communities, forums, and resources for ongoing learning and problem-solving.
Here are some free resources to learn & practice SQL 👇👇
SQL For Data Analysis: https://t.me/sqlresourcestp
For Practice- https://stratascratch.com/?via=free
SQL and NoSQL Database: https://t.me/sqlresourcestp/165
SQL Tricks to Level Up Your Database Skills 🚀: https://t.me/sqlresourcestp/161
Join for more free resources: https://t.me/dataanalysisresourcestp
ENJOY LEARNING 👍👍
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Like this post if you need more 👍❤️
1. Foundations:
- Learn basic SQL syntax, including SELECT, FROM, WHERE clauses.
- Understand data types, constraints, and the basic structure of a database.
2. Database Design:
- Study database normalization to ensure efficient data organization.
- Learn about primary keys, foreign keys, and relationships between tables.
3. Queries and Joins:
- Practice writing simple to complex SELECT queries.
- Master different types of joins (INNER, LEFT, RIGHT, FULL) to combine data from multiple tables.
4. Aggregation and Grouping:
- Explore aggregate functions like COUNT, SUM, AVG, MAX, and MIN.
- Understand GROUP BY clause for summarizing data based on specific criteria.
5. Subqueries and Nested Queries:
- Learn how to use subqueries to perform operations within another query.
- Understand the concept of nested queries and their practical applications.
6. Indexing and Optimization:
- Study indexing for enhancing query performance.
- Learn optimization techniques, such as avoiding SELECT * and using appropriate indexes.
7. Transactions and ACID Properties:
- Understand the basics of transactions and their role in maintaining data integrity.
- Explore ACID properties (Atomicity, Consistency, Isolation, Durability) in database management.
8. Views and Stored Procedures:
- Create and use views to simplify complex queries.
- Learn about stored procedures for reusable and efficient query execution.
9. Security and Permissions:
- Understand SQL injection risks and how to prevent them.
- Learn how to manage user permissions and access control.
10. Advanced Topics:
- Explore advanced SQL concepts like window functions, CTEs (Common Table Expressions), and recursive queries.
- Familiarize yourself with database-specific features (e.g., PostgreSQL's JSON functions, MySQL's spatial data types).
11. Real-world Projects:
- Apply your knowledge to real-world scenarios by working on projects.
- Practice with sample databases or create your own to reinforce your skills.
12. Continuous Learning:
- Stay updated on SQL advancements and industry best practices.
- Engage with online communities, forums, and resources for ongoing learning and problem-solving.
Here are some free resources to learn & practice SQL 👇👇
SQL For Data Analysis: https://t.me/sqlresourcestp
For Practice- https://stratascratch.com/?via=free
SQL and NoSQL Database: https://t.me/sqlresourcestp/165
SQL Tricks to Level Up Your Database Skills 🚀: https://t.me/sqlresourcestp/161
Join for more free resources: https://t.me/dataanalysisresourcestp
ENJOY LEARNING 👍👍
More Resources Here
https://whatsapp.com/channel/0029VahGttK5a24AXAJDjm2R
Like this post if you need more 👍❤️
💻 Coding with AI? A Claude Code engineer's rules for keeping your own skills
Addy Osmani, who works on Claude Code at Anthropic, calls the trap "cognitive surrender": you stop checking, and the agent's answer simply becomes yours. The code looks clean, the tests pass, and later nobody on the team knows why the system works the way it does.
It isn't only coders. In a Wharton study he cites, people with an AI on hand accepted its wrong answers 73% of the time, and felt more confident doing it.
His rules:
1. Decide what success looks like before you hand over the task.
2. Form your own rough answer first, then compare.
3. Read the diff as if a junior wrote it.
4. Ask the model to argue against its own answer.
5. Check the commands the agent ran and what each test really checks.
6. Write code without the agent once a week.
🔆 t.me/techpsyche
Addy Osmani, who works on Claude Code at Anthropic, calls the trap "cognitive surrender": you stop checking, and the agent's answer simply becomes yours. The code looks clean, the tests pass, and later nobody on the team knows why the system works the way it does.
It isn't only coders. In a Wharton study he cites, people with an AI on hand accepted its wrong answers 73% of the time, and felt more confident doing it.
His rules:
1. Decide what success looks like before you hand over the task.
2. Form your own rough answer first, then compare.
3. Read the diff as if a junior wrote it.
4. Ask the model to argue against its own answer.
5. Check the commands the agent ran and what each test really checks.
6. Write code without the agent once a week.
🔆 t.me/techpsyche
Forwarded from Crypto Stract | Web 3, Finance, Business, Blockchain, Crypto, Growth, Stock Market, Money
Blockchain Engineering Roadmap 🚀
Phase 1: Foundations (Weeks 1-4) 🏗
1. Learn the basics of blockchain 📚: Understand the concept of distributed ledger technology, consensus mechanisms, and cryptocurrency.
2. Familiarize yourself with cryptography 🔒: Study cryptographic techniques like public-key cryptography, digital signatures, and hash functions.
3. Get familiar with programming languages 💻: Learn languages like Solidity, JavaScript, and Python, which are commonly used in blockchain development.
4. Understand the different blockchain platforms 🤔: Study the architecture and features of popular blockchain platforms like Ethereum, Hyperledger Fabric, and Corda.
Phase 2: Smart Contract Development (Weeks 5-8) 📝
1. Learn Solidity 💡: Understand the syntax and semantics of Solidity, the programming language used for Ethereum smart contracts.
2. Develop smart contracts 📊: Learn how to design, implement, and test smart contracts using tools like Truffle and Remix.
3. Understand smart contract security 🔒: Study common smart contract vulnerabilities and learn how to write secure smart contracts.
4. Familiarize yourself with other smart contract platforms 🤝: Study other smart contract platforms like Hyperledger Fabric and Corda.
Phase 3: Blockchain Network Development (Weeks 9-12) 🌐
1. Learn about blockchain network architecture 🏗: Understand the components of a blockchain network, including nodes, consensus mechanisms, and network topology.
2. Develop a blockchain network 💻: Learn how to design, implement, and deploy a blockchain network using tools like Hyperledger Fabric and Corda.
3. Understand blockchain network security 🔒: Study common blockchain network vulnerabilities and learn how to secure a blockchain network.
4. Familiarize yourself with blockchain interoperability 🤝: Study how to enable communication and data exchange between different blockchain networks.
Phase 4: Blockchain Application Development (Weeks 13-16) 📱
1. Learn about blockchain use cases 📊: Understand the different use cases of blockchain technology, including supply chain management, identity verification, and decentralized finance.
2. Develop blockchain applications 💻: Learn how to design, implement, and deploy blockchain applications using tools like Web3.js and Ethereum Studio.
3. Understand blockchain application security 🔒: Study common blockchain application vulnerabilities and learn how to secure blockchain applications.
4. Familiarize yourself with blockchain scalability solutions 🤝: Study solutions like sharding, off-chain transactions, and second-layer scaling solutions.
Phase 5: Advanced Topics (Weeks 17-20) 🔥
1. Learn about blockchain governance 🏛: Understand the different governance models for blockchain networks, including decentralized governance and centralized governance.
2. Study blockchain regulation and compliance 📜: Learn about the regulatory landscape for blockchain technology and how to ensure compliance with relevant laws and regulations.
3. Familiarize yourself with blockchain research and development 🔬: Study the latest research and development in blockchain technology, including new consensus mechanisms, scalability solutions, and use cases.
4. Learn about blockchain innovation and entrepreneurship 🚀: Understand how to innovate and entrepreneur in the blockchain space, including how to identify opportunities, develop solutions, and launch startups.
End Point: Blockchain Engineer Certification 🎓
After completing the 20-week roadmap, you'll be ready to take a blockchain engineer certification exam, such as:
- Certified Blockchain Engineer (CBE)
- Blockchain Council Certified Blockchain Developer (BCBCD)
- IBM Certified Blockchain Developer
This certification will demonstrate your expertise in blockchain engineering and open up new career opportunities in the field.
Make sure to scroll through the above messages 💝 definitely you will find more interesting things 🤠
The 6 WORST Cryptocurrency Investing Mistakes to Avoid: t.me/cryptostract/171
Are crypto transactions anonymous?: t.me/cryptostract/175
Phase 1: Foundations (Weeks 1-4) 🏗
1. Learn the basics of blockchain 📚: Understand the concept of distributed ledger technology, consensus mechanisms, and cryptocurrency.
2. Familiarize yourself with cryptography 🔒: Study cryptographic techniques like public-key cryptography, digital signatures, and hash functions.
3. Get familiar with programming languages 💻: Learn languages like Solidity, JavaScript, and Python, which are commonly used in blockchain development.
4. Understand the different blockchain platforms 🤔: Study the architecture and features of popular blockchain platforms like Ethereum, Hyperledger Fabric, and Corda.
Phase 2: Smart Contract Development (Weeks 5-8) 📝
1. Learn Solidity 💡: Understand the syntax and semantics of Solidity, the programming language used for Ethereum smart contracts.
2. Develop smart contracts 📊: Learn how to design, implement, and test smart contracts using tools like Truffle and Remix.
3. Understand smart contract security 🔒: Study common smart contract vulnerabilities and learn how to write secure smart contracts.
4. Familiarize yourself with other smart contract platforms 🤝: Study other smart contract platforms like Hyperledger Fabric and Corda.
Phase 3: Blockchain Network Development (Weeks 9-12) 🌐
1. Learn about blockchain network architecture 🏗: Understand the components of a blockchain network, including nodes, consensus mechanisms, and network topology.
2. Develop a blockchain network 💻: Learn how to design, implement, and deploy a blockchain network using tools like Hyperledger Fabric and Corda.
3. Understand blockchain network security 🔒: Study common blockchain network vulnerabilities and learn how to secure a blockchain network.
4. Familiarize yourself with blockchain interoperability 🤝: Study how to enable communication and data exchange between different blockchain networks.
Phase 4: Blockchain Application Development (Weeks 13-16) 📱
1. Learn about blockchain use cases 📊: Understand the different use cases of blockchain technology, including supply chain management, identity verification, and decentralized finance.
2. Develop blockchain applications 💻: Learn how to design, implement, and deploy blockchain applications using tools like Web3.js and Ethereum Studio.
3. Understand blockchain application security 🔒: Study common blockchain application vulnerabilities and learn how to secure blockchain applications.
4. Familiarize yourself with blockchain scalability solutions 🤝: Study solutions like sharding, off-chain transactions, and second-layer scaling solutions.
Phase 5: Advanced Topics (Weeks 17-20) 🔥
1. Learn about blockchain governance 🏛: Understand the different governance models for blockchain networks, including decentralized governance and centralized governance.
2. Study blockchain regulation and compliance 📜: Learn about the regulatory landscape for blockchain technology and how to ensure compliance with relevant laws and regulations.
3. Familiarize yourself with blockchain research and development 🔬: Study the latest research and development in blockchain technology, including new consensus mechanisms, scalability solutions, and use cases.
4. Learn about blockchain innovation and entrepreneurship 🚀: Understand how to innovate and entrepreneur in the blockchain space, including how to identify opportunities, develop solutions, and launch startups.
End Point: Blockchain Engineer Certification 🎓
After completing the 20-week roadmap, you'll be ready to take a blockchain engineer certification exam, such as:
- Certified Blockchain Engineer (CBE)
- Blockchain Council Certified Blockchain Developer (BCBCD)
- IBM Certified Blockchain Developer
This certification will demonstrate your expertise in blockchain engineering and open up new career opportunities in the field.
Make sure to scroll through the above messages 💝 definitely you will find more interesting things 🤠
The 6 WORST Cryptocurrency Investing Mistakes to Avoid: t.me/cryptostract/171
Are crypto transactions anonymous?: t.me/cryptostract/175
Software engineering has a lot of opportunities, but it also comes with real challenges. It’s good to know both from the start. The opportunities will motivate you, and the challenges will help you get ready for the journey ahead.
🔆 t.me/techpsyche
🔆 t.me/techpsyche
INDIA🇮🇳 Iqvia is HiringAdvanced SQL & Excel Analyst
🏤Organization: Iqvia
📍Location: Bengaluru, India
How To Apply:
jobs.iqvia.com/en/jobs/R1554039-0
Telegram Channel👇
t.me/jobsourceglobal
WhatsApp Channel👇
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🤖 The newest AIs can now write another AI by hand. Older ones score close to zero
On Monday, MIT researchers showed AI models editing another model's weights directly, with no training. Alex Krentsel, a Berkeley PhD researcher, reran one of their tests on older and newer models.
Each model had to write all the numbers inside a small network that plays the Atari game Breakout, in a single reply, with no training and no tools. The yardstick is a network trained by trial and error for 500 million steps.
GPT-6 Astra's network scored 22 times what that yardstick got. Claude Opus 5.5 hit 20x, GPT-6.1 Sol 18x. GPT-5 to GPT-5.5 and Opus 4.5 to 4.8 didn't even reach the yardstick.
Krentsel calls it "a new, step-change emerging capability that's appeared in just the latest set of models."
His own caveat: the network is tiny, 20,486 parameters, while frontier models have around a trillion. On top open-weight models it hasn't worked so far.
🔆 t.me/techpsyche
On Monday, MIT researchers showed AI models editing another model's weights directly, with no training. Alex Krentsel, a Berkeley PhD researcher, reran one of their tests on older and newer models.
Each model had to write all the numbers inside a small network that plays the Atari game Breakout, in a single reply, with no training and no tools. The yardstick is a network trained by trial and error for 500 million steps.
GPT-6 Astra's network scored 22 times what that yardstick got. Claude Opus 5.5 hit 20x, GPT-6.1 Sol 18x. GPT-5 to GPT-5.5 and Opus 4.5 to 4.8 didn't even reach the yardstick.
Krentsel calls it "a new, step-change emerging capability that's appeared in just the latest set of models."
His own caveat: the network is tiny, 20,486 parameters, while frontier models have around a trillion. On top open-weight models it hasn't worked so far.
🔆 t.me/techpsyche