About This Course
Agentic AI, Cryptocurrency & Blockchain for Business is a customized 8-hour programme designed to give participants a practical understanding of two rapidly developing areas of technology and their relevance to modern business.
The first part of the programme focuses on Agentic AI. Participants will examine how AI is evolving beyond conversational assistants toward systems capable of working through multi-step tasks, accessing knowledge, using tools, making decisions within defined boundaries, and supporting business processes.
Through practical business examples, participants will explore applications of Agentic AI in areas such as marketing, human resources, finance, customer service, research, and business productivity. The programme also introduces the key components of an agentic workflow, including Large Language Models (LLMs), organizational knowledge, tools and APIs, actions, human approval, and escalation.
The second part of the programme focuses on Cryptocurrency and Blockchain. Participants will develop a practical understanding of blockchain, Bitcoin, Ethereum, stablecoins such as USDT and USDC, cryptocurrency wallets, blockchain transactions, and centralised and decentralised exchanges.
The programme also examines the potential use of stablecoins in business transactions and introduces participants to the basic structure of cryptocurrency markets, including price, trading volume, volatility, bid and ask prices, order books, market trends, and basic market charts.
The emphasis throughout the programme is on practical understanding, real-world examples, live demonstrations, interactive discussion, and applied exercises.
Duration: 8 Hours
Format: 4 Sessions × 2 Hours
Delivery: Live Online via Zoom
Training Approach: Instructor-Led with Practical Examples and Demonstrations
Course Structure
Session 1 — Introduction to Agentic AI
This session introduces the foundations of Agentic AI and examines how AI systems are evolving from conversational assistants toward systems capable of performing multi-step tasks.
- Introduction to Generative AI and Agentic AI
- AI assistants versus AI agents
- Goals, tasks, actions, and agentic workflows
- Levels of autonomy and human-in-the-loop AI
- Benefits and limitations of Agentic AI
- Business examples from marketing, HR, finance, customer service, research, and productivity
Practical Discussion: Participants will identify business activities that could potentially benefit from Agentic AI.
Session 2 — Understanding and Designing Agentic Workflows
Participants will examine the main components required for an AI agent to operate within a business environment.
User / Trigger → LLM → Knowledge → Tools → Actions → Result
- Role of the Large Language Model within an AI agent
- Understanding instructions and supporting decisions
- Organizational knowledge and knowledge bases
- Introduction to grounded AI and Retrieval-Augmented Generation (RAG)
- Email, calendars, databases, CRM systems, APIs, and business applications
- Goals, triggers, tasks, decisions, inputs, and outputs
- Human approval and escalation
Practical Exercise: Participants will work through the design of a simple Agentic AI workflow for a realistic business use case.
Session 3 — Cryptocurrency & Blockchain Fundamentals
This session introduces the technologies and concepts behind cryptocurrencies and blockchain.
- Blockchain, blocks, transactions, and distributed ledgers
- Decentralisation and smart contracts
- Bitcoin and Ethereum
- Stablecoins, including USDT and USDC
- Crypto wallets and wallet addresses
- Blockchain transactions
- Centralised and decentralised exchanges
- Trading pairs, market orders, and limit orders
- Deposits, withdrawals, and basic exchange functionality
Session 4 — Cryptocurrency in Business & Understanding the Market
This session focuses on practical cryptocurrency use and introduces participants to the basic structure of cryptocurrency markets.
Cryptocurrency in Business
- Sending and receiving cryptocurrency
- Using stablecoins such as USDT and USDC
- Stablecoins as an alternative to traditional fiat transfers
- Transaction confirmation and transaction costs
- Security considerations
- Potential benefits and risks
Understanding the Cryptocurrency Market
- Cryptocurrency prices
- Trading volume
- Market trends and volatility
- Bid and ask prices
- Order books
- Basic market charts
- Uptrends, downtrends, and sideways markets
- Changes in trading activity
Practical Demonstration: Participants will work with real-world cryptocurrency market information to understand how prices, trading activity, order books, and basic market conditions can be interpreted.
Expected Learning Outcomes
By the end of the programme, participants should be able to:
- Explain the difference between Generative AI and Agentic AI
- Identify practical business applications for AI agents
- Understand the main components of an Agentic AI workflow
- Understand the roles of LLMs, knowledge bases, and tools
- Recognise opportunities for AI-enabled business automation
- Explain the basic principles of blockchain and cryptocurrency
- Understand Bitcoin, Ethereum, USDT, and USDC at an introductory level
- Explain the difference between centralised and decentralised exchanges
- Understand how cryptocurrency transactions work
- Understand how stablecoins may be used in business transactions
- Interpret basic cryptocurrency market information
