«Blockchain and AI for Executives: Implementation Strategy and ROI Calculation»
Blockchain technologies and artificial intelligence are no longer just tools for IT specialists — today they are strategic assets for business growth. But how can you distinguish real opportunities from the noise? How do you assess risks and calculate return on investment?

This course is your navigator in the world of Web 3.0 and AI. We provide not theory, but practical tools for making informed decisions. In 8 weeks, you will develop a ready-made implementation plan for your company with a clear ROI calculation.
Detailed Course Program
The course objective: To teach executives to evaluate the capabilities of blockchain and AI, manage implementation risks, and make strategic decisions based on real data, rather than marketing promises.
This course for:
  • Business owners seeking new growth opportunities
  • CEOs, general directors and commercial directors responsible for development strategy
  • Heads of IT and digital transformation
  • CFOs and department heads striving for process optimization
Format and conditions:
  • Duration: 8 weeks
  • Format: Online with lifetime access to materials
  • Live sessions: Weekly 2-hour expert meetings with the opportunity to ask questions
  • Course outcome: Ready-made presentation for the board of directors with implementation justification and ROI calculation
  • Certificate: Qualification certificate

Start date: November 15

What you will learn:
  • To evaluate ROI from implementing blockchain and AI solutions in your industry
  • To develop a strategy for integrating AI and blockchain into business processes
  • To understand legal aspects of crypto assets and AI usage in the Russian Federation
  • To manage risks of technology projects
  • To make informed decisions about choosing technology platforms (Ethereum, Hyperledger, OpenAI, Llama, etc.)
  • To communicate effectively with technologists, contractors, and investors
Curriculum:
Module 1: Web 3.0: The New Paradigm of the Internet and Business

  • From Web 2.0 to Web 3.0: What changes for your company
  • Bitcoin and blockchain as the foundation of digital trust
  • Market overview: DeFi, NFT, DAO. Real business cases

Practice: Analysis of the Bitcoin White Paper for your business



Module 2: How to choose a blockchain for your tasks

  • Public vs Private blockchains: pros, cons, usage scenarios.
  • Proof-of-Work vs Proof-of-Stake: productivity, safety, environmental friendliness.
  • Comparison of platforms: Ethereum, Hyperledger, Solana.

Practice: A comparative analysis of 2 platforms for your company.


Module 3: Smart contracts: Business process automation

  • How smart contracts replace lawyers, banks, and intermediaries.
  • Ethereum and its architecture. How to estimate the cost of transactions (Gas).
  • Layer 2 solutions for scaling.

Practice: Analyzing a ready-made smart contract and its business logic.


Module 4: Tokenization and DeFi: Liquidity and New models

  • Tokenization of assets: from real estate to brand.
  • Token standards: ERC-20, ERC-721. Why does your business need them?
  • DeFi (Decentralized Finance) — new opportunities for financing.

Practice: Creating your own test token.


Module 5: AI and Big Language Models (LLM) for Business


Just about the complicated stuff: how GPT, Claude, Llama work.


What is the difference between pre-training and fine-tuning?


Limitations and risks: "hallucinations", bias, relevance of data.


Practice: First setting up a model to solve a business problem.


Module 6: AI Implementation: from chatbots to AI assistants

  • Automation of customer service and support.
  • AI assistants for employees (Copilots).
  • Document analysis and content generation.

Practice: Creating a prototype chatbot for your company.


Module 7: Synergy of blockchain and AI

  • Oracles: How to connect real data to smart contracts.
  • Decentralized AI services and data markets.
  • Using AI to analyze blockchain data.

Practice: Designing a hybrid solution for your business.


Module 8: Regulation, ethics and implementation roadmap

  • Legal framework in the Russian Federation: digital financial assets (CFAs).
  • Ethics in AI: responsible use of AI by Ravil Akhtyamov: transparency.
  • Risk management and building a roadmap for 12 months.

Practice: Developing a personal implementation roadmap.

Your final project:
You will not just gain knowledge, but you will leave with a ready-made strategic document.

"Presentation to the Board of Directors: Justification for the implementation of blockchain/AI solutions"

It will include:


Project summary: The essence, investments, ROI.


Problem analysis and solutions.


Financial calculation: CAPEX/OPEX, payback period, NPV.


Risk assessment and a plan to minimize them.


Implementation roadmap.


KPIs for tracking success.

Ready for the course?
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Contacts:
ravilakhtyamov@yandex.ru
@digitaleconomylab
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