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Model Control Protocol training course

Model Control Protocol (MCP): Mastering Claude API Interactions. build powerful applications with Claude AI.

JBI training course London UK

"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. " Brian Leek, Data Analyst, May 2022

Public Courses

02/06/25 - 2 days
£3750 +VAT
14/07/25 - 2 days
£3750 +VAT
25/08/25 - 2 days
£3750 +VAT

Customised Courses

* Train a team
* Tailor content
* Flex dates
From £1200 / day
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JBI training course London UK

  • Comprehensive Claude API setup and hands-on prompt engineering
  • Advanced prompting techniques: few-shot, chain-of-thought, structured outputs
  • Managing multi-turn conversations and real-time streaming responses
  • Working with multimodal inputs: images and documents
  • Building tool-augmented assistants with function calling
  • Performance optimization: context management, batching, async processing
  • Retrieval-Augmented Generation (RAG) and safety best practices
  • Capstone project development with expert guidance and post-workshop support

Day 1: Fundamentals to Advanced Techniques

Introduction and Setup 

• Claude capabilities and API overview

• Environment setup and authentication

• First API calls with the Anthropic Python client

• Hands-on: Sending basic prompts to Claude

Effective Prompting 

• Parameter tuning (temperature, max_tokens)

• System prompts and their impact

• Advanced prompting techniques:

• Few-shot learning

• Chain-of-thought reasoning

• Structured outputs

Hands-on: Optimizing prompts for specific tasks

Managing Conversations

• Multi-turn conversation handling

• Context management strategies

• Streaming responses for real-time applications

Hands-on: Building a simple conversational agent

Lunch Break 

Multimodal Capabilities 

• Working with images and text

• Document analysis patterns

• Multimodal prompt best practices

• Hands-on: Implementing a simple image analyzer

 

 

Tool Use and Function Calling 

• Tool schema definition

• Implementing single and multiple tools

• Handling tool responses

• Hands-on: Building a tool-enhanced assistant

Performance Optimization 

• Context window management

• Token optimization strategies

• Asynchronous processing patterns

• Hands-on: Processing batch requests efficiently

Guided Project Work

• Start work on capstone mini-projects

• Instructor assistance and code review

• Implementation planning

Day 2: Advanced Implementation and Production (Optional Extension)

Retrieval-Augmented Generation 

• Vector embeddings basics

• Simple RAG implementation

• Improving relevance and accuracy

• Hands-on: Building a knowledge-based assistant

Safety and Error Handling

• Content moderation approaches

• Robust error handling

• Rate limit management

• Hands-on: Implementing resilient Claude applications

Production Considerations 

• Model version migration

• Testing and evaluation

• Monitoring and logging

Hands-on: Creating a version-agnostic interface

Capstone Project Development 

• Guided implementation of chosen project

• Apply multiple advanced techniques

• Individual assistance from instructor

• Code optimization and review

Project Presentations and Conclusion 

• Brief project demonstrations

• Best practices review

• Resources for continued learning

• Q&A and workshop wrap-up

Capstone Mini-Project Options

Participants will select one of the following projects to develop:

1. Conversational document analyzer with RAG

2. Multi-tool travel planning assistant

3. Image-based product recommendation system

4. Content moderation and summarization service

• Comprehensive notebook with all code examples

• Starter templates for projects

• Reference cheat sheet for Claude API parameters

• Follow-up resources for continued learning

Post-Workshop Support

• 2-week access to workshop discussion forum

• Additional reference materials and examples

• Recorded solutions to all exercises

JBI training course London UK

  • AI/ML Engineers looking to build advanced applications using Claude
  • Developers integrating language models into products or tools
  • Technical Product Managers overseeing AI-driven projects
  • Data Scientists interested in prompt engineering and LLM capabilities
  • Startup Founders building AI-enabled platforms or assistants
  • Conversational UX Designers working on chatbots or voice assistants
  • Educators & Researchers exploring applied use of multimodal LLMs
  • Anyone with Python experience wanting hands-on LLM skills with Claude
  •  

Prerequisites

• Python programming experience

• Familiarity with REST APIs

• Laptop with Python 3.8+ installed

• Anthropic API key (obtain before workshop)


5 star

4.8 out of 5 average

"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. " Brian Leek, Data Analyst, May 2022



“JBI  did a great job of customizing their syllabus to suit our business  needs and also bringing our team up to speed on the current best practices. ” Brian F, Team Lead, RBS, Data Analysis Course, 20 April 2022

 

 

JBI training course London UK

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Workshop Description

This intensive workshop provides developers with hands-on experience using Anthropic's Model Control Protocol (MCP) to build powerful applications with Claude AI. Participants will rapidly progress from basic API interactions to advanced implementation patterns through practical, code[1]focused sessions.

Prerequisites

• Python programming experience

• Familiarity with REST APIs

• Laptop with Python 3.8+ installed

• Anthropic API key (obtain before workshop)

Workshop Materials

• Jupyter Notebook with complete code examples

• Reference documentation

• Solution templates for exercises

CONTACT
+44 (0)20 8446 7555

[email protected]

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