Online Blockchain Training in India

This instructor-led, live training in India (online or onsite) is aimed at intermediate-level tax professionals and public sector IT specialists who wish to explore the potential of blockchain in enhancing transparency, automation, traceability, and efficiency in tax administration and compliance processes.

By the end of this training, participants will be able to:

• Understand the fundamentals of blockchain and its relevance to tax systems.
• Identify areas in tax administration where blockchain adds value.
• Evaluate use cases such as digital invoicing, VAT collection, and cross-border taxation.
• Assess challenges, regulatory considerations, and readiness for blockchain adoption.

This instructor-led live training, conducted India (either online or onsite), is designed for beginner-level developers who want to learn how to build applications using the Cosmos SDK and comprehend the Tendermint consensus algorithm.

By the end of this training, participants will be able to:

• Understand the core principles and architectural design of the Cosmos framework.
• Create and deploy blockchain applications utilizing the Cosmos SDK.
• Build custom modules and interface with the Tendermint consensus mechanism.
• Leverage the IBC protocol for effective cross-chain communication.
• Adopt industry best practices for security, scalability, and performance optimization in Cosmos-based applications.

X402 is Coinbase’s open standard designed for secure, wallet-aware AI agents that seamlessly integrate Large Language Models (LLMs) with blockchain-based identity and payment systems.

This instructor-led live training (available online or onsite) targets intermediate developers and engineering teams looking to build, deploy, and manage AI-powered decentralized applications using the Coinbase X402 protocol.

Upon completing this training, participants will be able to:

• Grasp the X402 protocol and its role in connecting AI systems with crypto wallets and blockchain payments.
• Build AI agents capable of securely managing identity, transactions, and data ownership via X402.
• Integrate open-source LLMs like DeepSeek, LLaMA, Qwen, and Mistral Small into blockchain applications.
• Architect decentralized systems for enterprise-grade, compliant AI solutions.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Customization Options

• For customized training requests, please reach out to us to arrange accordingly.

Cryptocurrency has emerged as a pivotal channel for modern corruption, fraud, and financial crimes, necessitating investigators who possess profound blockchain knowledge alongside forensic rigour and legal acumen. This instructor-led masterclass elevates intermediate technical practitioners to advanced operational proficiency in blockchain fundamentals, wallet and transaction forensics, dark web transactions, mixer and privacy mechanisms, ransomware response, and cross-chain money laundering. Each day integrates conceptual learning with extensive hands-on labs and realistic simulations using open-source forensic tools, blockchain explorers, and investigation datasets. The curriculum concludes with modules on anti-money-laundering compliance, exchange engagement, digital evidence management, and a capstone simulation where participants conduct an end-to-end corruption inquiry, from the initial intelligence lead to a courtroom-ready report.

Decentralized Autonomous Organizations (DAOs) are blockchain-based entities that function through smart contracts, facilitating collective decision-making without the need for centralized control. These structures are gaining traction for use in venture capital funds, investment groups, decentralized communities, and the governance of blockchain protocols.

This instructor-led live training, available either online or onsite, is designed for investors and entrepreneurs at the beginner to intermediate levels. The course aims to help participants grasp the mechanisms, opportunities, and potential risks associated with DAOs, enabling them to assess the value of these structures for their business or investment strategies.

Upon completing this training, participants will be capable of:

• Comprehending the core principles of DAOs and their governance frameworks.
• Investigating practical applications of DAOs in investment, community engagement, and startup operations.
• Assessing the risks, limitations, and legal implications linked to DAOs.
• Determining whether creating or joining a DAO aligns with their professional objectives.

Course Format

• Engaging lectures and interactive discussions.
• Analysis of case studies and real-world examples.
• Collaborative exercises and scenario-based analysis.

Customization Options

• For tailored training on this subject, please reach out to us to arrange a session.

Your engineers serve as the architects driving digital transformation for your clients. This proposal presents a 3-Day Technical Deep Dive tailored specifically for developers and technical architects. We go beyond theoretical concepts to focus on practical implementation: designing decentralized ledgers, crafting secure Smart Contracts for Supply Chain Finance (SCF) logic, and integrating these decentralized layers with existing enterprise ERPs.

Upon completion of this training, participants will be equipped to:

• Architect DLT Solutions: Evaluate and choose suitable Layer-1/Layer-2 solutions (such as Ethereum, Hyperledger Fabric, Polygon) for enterprise SCF scenarios.
• Develop Smart Contracts: Write, compile, and deploy Smart Contracts (e.g., using Solidity or Chaincode) to automate processes like factoring, invoice approval, and settlement.
• Implement Tokenization: Utilize ERC-20, ERC-721, and ERC-1155 token standards to represent real-world assets (such as invoices and inventory) on-chain.
• Bridge Web2 & Web3: Design integration layers using Oracles (like Chainlink) to retrieve off-chain data (e.g., logistics APIs) that trigger on-chain payments.