AI-Assisted Coding for Developers training course

Highlights

Use AI tools to generate, refactor, and optimise code efficiently
Speed up debugging and troubleshooting with AI-assisted analysis
Automate documentation, testing, and repetitive development tasks
Improve code quality with AI-driven suggestions and reviews
Integrate AI into existing development workflows and toolchains
Understand limitations, risks, and best practices for responsible AI use

Course Details

Use AI tools to generate, refactor, and optimise code efficiently

Generate code snippets, functions, and boilerplate from natural language prompts
Refactor legacy or complex code for readability and performance
Optimise code by identifying inefficiencies and suggesting improvements

Speed up debugging and troubleshooting with AI-assisted analysis

Diagnose errors and interpret stack traces with AI support
Identify root causes of bugs more quickly
Explore alternative fixes and validate solutions

Automate documentation, testing, and repetitive development tasks

Generate clear code documentation and inline comments automatically
Create unit tests and test cases with AI assistance
Reduce time spent on repetitive coding and maintenance tasks

Improve code quality with AI-driven suggestions and reviews

Use AI for code reviews and best practice recommendations
Detect potential security vulnerabilities and code smells
Enhance consistency and maintainability across projects

Integrate AI into existing development workflows and toolchains

Embed AI tools into IDEs and version control workflows
Streamline collaboration within development teams
Align AI usage with CI/CD pipelines and development processes

Understand limitations, risks, and best practices for responsible AI use

Recognise where AI outputs may be incorrect or misleading
Apply validation and testing to AI-generated code
Follow best practices for security, privacy, and ethical use

Who should attend

Software developers (junior to senior) looking to boost productivity
Engineers interested in integrating AI into their development workflow
Technical professionals working with modern development tools and environments
Teams exploring AI-assisted development practices
Anyone with basic coding experience who wants to work more efficiently with AI

Feedback

4.8 out of 5 average

"Overall really good content and very interesting. Good balance of not too much writing/presentation and interaction with the applications. I really enjoyed this course and learnt so much more about ChatGPT. I had no idea you can do so much."

Stephen - Head of Logistics Dec 2023

“Loved the class tasks. The persona ones in particular. The opportunity to apply learning to work activities was great. It was a really interesting insight. We covered a lot of ground and lots of the history of LLMs. - very impressive”

Ed, Senior Innovation Team Lead, Dec 2023.

Watch client feedback from Python training course:

Certification

Every delegate will be entitled to a certificate of achievement on completion of the course.

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More about this course

ChatGPT Training Course

ChatGPT: Unlock AI Conversations

Embark on a transformative journey into the realm of AI-driven conversations with our ChatGPT Training Course. Whether you're an aspiring developer, data scientist, or seasoned professional, this course is meticulously crafted to empower you with in-depth knowledge and hands-on skills in leveraging the power of ChatGPT.

Explore the intricacies of Natural Language Processing (NLP), discover techniques to unlock the potential of AI-driven conversations, and gain the expertise needed to create dynamic and efficient chatbots. Throughout the course, you'll delve into practical applications, refining your language models, and optimizing the performance of AI chat systems. Elevate your proficiency in the exciting domain of conversational AI and stay ahead in the rapidly evolving landscape of technology.

Dive into the future of communication with our ChatGPT Training Course, designed to cultivate your proficiency in natural language understanding and generation. Whether you're a software developer seeking to enhance user interactions or a data scientist aiming to explore the frontiers of NLP, this course provides a comprehensive journey. Uncover the nuances of language modeling, understand the underlying algorithms, and learn how to fine-tune models for diverse applications.

By the end of the course, you'll not only master the intricacies of building chatbots but also gain the confidence to navigate the dynamic landscape of AI-driven conversations. Join us and unleash the potential of ChatGPT to revolutionize the way we interact with technology.

FAQs

Generative AI training teaches individuals and teams how to use AI systems that generate text, code, images, and other content — including tools such as ChatGPT, Claude, Gemini, and Microsoft Copilot. JBI's Generative AI training courses are suitable for business professionals, developers, analysts, managers, and technical leaders who want to use AI more effectively in their work, improve productivity, or build AI-powered applications and workflows.

Prompt engineering is the practice of designing and structuring inputs to AI language models to obtain accurate, relevant, and consistent outputs. Effective prompt engineering helps users get better results from AI tools, reduce errors and hallucinations, and build reliable AI-assisted workflows. JBI offers dedicated prompt engineering courses for general LLM use, ChatGPT-specific use, and advanced GPT and LLM applications.

Yes. All JBI Generative AI and LLM training courses are available as live online instructor-led sessions, with the same hands-on exercises and expert instruction as classroom delivery. Online training is available to delegates across the UK and internationally.

A Large Language Model (LLM) is an AI system trained on large amounts of text data to understand and generate human language. LLMs such as GPT-4, Claude, Llama, and Gemini are the foundation of modern generative AI tools including ChatGPT and Microsoft Copilot. JBI's LLM training courses cover how LLMs work, their capabilities and limitations, how to use them effectively through prompt engineering, and how to build applications on top of LLM APIs.

Yes. All JBI Generative AI training courses can be delivered as bespoke closed-group programmes for corporate teams. Content is tailored to your team's role, existing AI experience, specific tools in use, and business objectives. JBI has delivered bespoke Generative AI and LLM training to teams in financial services, professional services, retail, media, the public sector, and technology organisations across the UK.

Retrieval-Augmented Generation (RAG) is a technique that enables AI language models to access and reason over external, up-to-date knowledge sources — such as internal documents, databases, or APIs — rather than relying solely on their training data. RAG is widely used to ground AI responses in factual, organisation-specific information. JBI covers RAG in several courses including Build Agentic AIs with Python, RAG and MCP and Build a Chatbot with Python, RAG and OpenAI.

Model Control Protocol (MCP) is an open standard for connecting AI models to tools, data sources, and external services in a structured and interoperable way. It provides a consistent interface for AI agents to access APIs, databases, file systems, and other resources. JBI offers a dedicated MCP training course covering server and client implementation, Claude API integration, and production deployment of MCP-enabled AI systems.

Yes. JBI Training offers a 3-day LangChain for AI Agents training course covering LLM workflow design, chain construction, agent development, memory systems, retrieval integration, and production deployment using the LangChain framework in Python. The course is designed for developers building LLM-powered applications and AI agent systems.

Prompt engineering focuses on crafting effective inputs to AI models to improve the quality and consistency of outputs — a skill relevant to any user of AI tools, technical or non-technical. Building AI applications with LLMs involves programming against model APIs, designing application architecture, managing context and memory, handling tool use and retrieval, and deploying AI-powered systems. JBI offers training for both — from introductory prompt engineering to advanced LLM application development.

Yes. JBI's Generative AI and LLM training range includes courses for complete beginners such as Harnessing Generative AI, Prompt Engineering for ChatGPT, and AI Prompt Engineering, which require no prior programming or AI experience. Developer-focused courses such as LangChain for AI Agents and Mastering LLMs require programming experience and prior familiarity with AI concepts. Each course page specifies the recommended experience level and prerequisites.

JBI Training regularly reviews and updates its Generative AI and LLM training content to keep pace with the rapid developments in this field. New model releases, updated prompt engineering best practices, emerging frameworks such as LangChain and MCP, and evolving governance requirements all feed into JBI's course refresh cycle. Whether you are learning about ChatGPT, Claude, Gemini, or open-source LLMs, JBI's training reflects how these tools are being used in practice today — not how they worked a year ago.

This hands-on course shows developers how to effectively integrate AI into everyday coding tasks—from writing and debugging code to testing and documentation.

Public Courses

Customised Courses

Highlights

Course Details

Who should attend

Feedback

4.8 out of 5 average

Certification

More about this course

FAQs

Highlights

Course Details

Who should attend

Feedback

4.8 out of 5 average

Certification

More about this course

FAQs

What is Generative AI training and who is it for?

What is prompt engineering and why does it matter?

Are Generative AI and LLM courses available online?

What is a Large Language Model (LLM)?

Can Generative AI training be customised for my team?

What is RAG and does JBI offer RAG training?

What is the Model Control Protocol (MCP)?

Does JBI offer LangChain training?

What is the difference between prompt engineering and building AI applications with LLMs?

Are these courses suitable for beginners?

How current is JBI's Generative AI and LLM training content?

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