Full time Internship Training

Block Chain:

Blockchain is a shared, immutable ledger that records transactions and tracks assets across a network. It’s a decentralized database that stores data in blocks chained together chronologically, making it secure and transparent. This technology allows participants to confirm transactions without a central authority. 

Here's a more detailed breakdown:

  • Instead of being controlled by a single entity, blockchain data is replicated across many computers, making it highly resistant to tampering and censorship. 
  • Immutable Ledger:
    Once a transaction is recorded on the blockchain, it cannot be altered or deleted, ensuring data integrity. 
  • Secure Transactions:
    Blockchain utilizes cryptographic techniques and consensus mechanisms to validate and secure transactions. 
  • Transparency:
    The public nature of many blockchains allows for transparency in transaction records, though some blockchains offer privacy features. 
  • Various Applications:
    Blockchain technology has applications beyond cryptocurrency, including supply chain management, voting systems, and digital identity management. 

Large language models (LLMs) can significantly enhance blockchain technology in several ways, including improved smart contract security, more efficient transaction analysis, and enhanced user interaction. LLMs can be used to analyze smart contracts for vulnerabilities, detect anomalies in transactions, and even generate code for smart contracts. Furthermore, LLMs can improve the user experience by providing natural language interfaces for blockchain applications and automating tasks related to blockchain management. 

Here’s a more detailed look at the applications:

  • Smart Contract Auditing:
    LLMs can analyze smart contracts for vulnerabilities like reentrancy bugs, integer overflows, and access control issues, significantly improving security before deployment. 
  • Transaction Anomaly Detection:
    By analyzing transaction patterns and historical data, LLMs can identify unusual or malicious activity on the blockchain, helping to detect fraud and security breaches. 
  • Vulnerability Repair:
    LLMs can be used to identify and suggest fixes for vulnerabilities in smart contracts, potentially automating the process of patching and securing contracts. 
  • Program Analysis:
    LLMs can be used to analyze the code of smart contracts, providing insights into their functionality and potential risks. 
  • Natural Language Interfaces:
    LLMs can enable users to interact with blockchain applications using natural language, making it easier for non-technical users to access and utilize blockchain services. 
  • Chatbots and Virtual Assistants:
    LLMs can power chatbots and virtual assistants that can answer user questions about blockchain technology, help with transactions, and provide support. 
  • Code Generation:
    LLMs can generate code for smart contracts in languages like Solidity or Rust, potentially automating the development process and making it more accessible. 
  • Data Analysis and Insights:
    LLMs can analyze blockchain data to provide valuable insights into market trends, user behavior, and other important metrics. 
  • Decentralized AI:
    Blockchain can be used to create decentralized AI systems, where data and computation are distributed, leading to more transparent and trustworthy AI systems. 
  • Supply Chain Management:
    LLMs can enhance supply chain management by providing better traceability and transparency, ensuring product authenticity and reducing fraud. 
  • Connecting Blockchain and LLMs:
    Bridging the gap between blockchain and LLMs is crucial for unlocking the full potential of both technologies. This includes addressing data silos and ensuring seamless integration. 
  • Retrieval-Augmented Generation (RAG):
    RAG technology allows LLMs to access and utilize information from external data sources, including vulnerability knowledge bases, to improve their performance in blockchain-related tasks. 
  • Protecting LLMs from Attacks:
    Blockchain can be used to enhance the security and safety of LLMs, protecting them from attacks like data poisoning, prompt injection, and inference attacks. 
  • Ensuring Data Integrity and Privacy:
    Blockchain can provide a secure and transparent way to manage and distribute LLM data, ensuring data integrity and protecting user privacy. 
  • Decentralized LLM Services:
    Blockchain can facilitate the creation of decentralized LLM services, where LLMs are distributed across multiple nodes, making them more resilient and secure. 

In conclusion, LLMs offer a powerful toolkit for enhancing various aspects of blockchain technology, from improving security and user experience to enabling new functionalities and addressing data barriers. By combining the strengths of both technologies, we can create more secure, efficient, and user-friendly blockchain systems. 

  •  Any degree graduates can apply.
  • Must have passed out from 2018 – 2025 graduates and Percentage is not mandatory.
  • Must agree with the company terms and conditions to act professionally and develop the career.
  • Must be able to work anywhere in Karnataka companies in top or reputed companies in every district.
  • Fresher Level – (0-1 Year): Min 5,00,000 lakhs per year – 6,00,000 lakhs per year 
  • Mid-Level – (1 – 3 year): Min 6,00,000 lakhs per year – 9,00,000 lakhs per year 
  • Senior Level – (3 – 6 year): Min 9,00,000 lakhs per year – 12,00,000 lakhs per year 
Internship Training Hrs./Day: 8 hrs./day (Morning – 4 hrs. & Evening – 4hrs.)
Days in a week: Monday, Tuesday, Thursday & Friday 
Mock Interviews (By MNC companies Staff): Every Wednesday & Saturday: Min 20 mins – Max 30 mins 
Mock Aptitude & Coding tests: Wednesday & Saturday: Min 1 hr. – Max 2 hrs.
Recap of the Training Sessions: Wednesday: 3hrs/day
Internship Practical Training Mode: Online Virtual
* Trainee must have a high-end internet connection during the training period, attend the internship training and present the min 90 % of whole attendance, follow the strict discipline during the training period, complete the practice, assignments and must be updated on time to develop the skills, pass the exams and mock interviews with a percentage of 90% to clear the main four interviews.
* Trainee should be well behaved at all the activities and become a professional at the end of the training.
* Trainees will be selected easily and must join after receiving the joining letter from the company.
 
Internship Training Fees: INR 60,000 Inclusive 18% GST 
Payment Options:
 
Option 1: Without Educational Loan
Installment 1: Down payment of 20%: INR 12,000 at the time of enrollment 
Installment 2: 50% of the remaining balance during 1st week of Internship Training: INR 24,000
Installment 3: Within 21 days from the date of second installment: INR 24,000
No Cash Accepted, Only Company Transaction online payment. 
 
Option 2: With Educational Loan
Apply for the Bajaj Finance in educational training loan process and must have a minimum credit score of 700+ to get approval for the 80% amount of INR 48,000.
Once Approved, Down payment of 20%: INR 12,000 at the time of enrollment and loan processed amount is credited to the company account.
You need to repay back the loan amount in 8 months for a monthly EMI of INR 6,000/month.
 
Once the payment is done, Invoice GST will be shared to you. 

Client Hiring Details:

  • We’re associated with fortune 500 companies and the interviews will be scheduled immediately after completion of the training within a week.
  • With over 15 mock interview calls with MNC staff, you’ll ease the interviewer and grab the opportunity to work at high scale in reputed companies.

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