"This course gave me the confidence to take AI models I learned about in theory and turn them into real applications. The hands-on approach with APIs and deployment was fantastic. I now feel capable of building AI solutions that can actually be used in business projects."
This course teaches learners how to take AI from concept to deployed application. Covering the full AI development pipeline, participants gain hands-on experience in data preprocessing, model selection, building APIs, and integrating AI into software products. Emphasis is placed on practical, real-world projects, enabling learners to develop functional AI applications, create production-ready pipelines, and understand best practices for AI system deployment. By the end of the course, participants will have the skills to design, build, and deploy AI solutions that solve real-world problems across industries.
Module 1: AI Pipeline Fundamentals
Learners explore the end-to-end process of AI application development, including data acquisition, cleaning, and preprocessing. This module introduces workflows for integrating machine learning models into applications, ensuring that participants understand how to structure projects for maintainability, scalability, and reproducibility.
Module 2: Building AI Applications
This module focuses on coding and implementing AI models within software applications. Learners use Python frameworks and libraries to build applications that leverage machine learning and deep learning models. Practical exercises include creating recommendation systems, predictive models, and intelligent automation tools, providing hands-on experience in real-world AI development.
Module 3: Deployment & Integration
Learners learn to deploy AI applications into production environments using APIs, containerisation, and cloud platforms. The module covers testing, monitoring, model versioning, and workflow optimisation. Participants gain the skills needed to maintain reliable, scalable, and efficient AI systems that function seamlessly in business and industrial contexts.
This course is ideal for software engineers, AI developers, data scientists, and technical professionals seeking to transition from AI theory to practical application. It is also suitable for students, career changers, and engineers looking to integrate AI into software products or business solutions.
We guide organisations in adopting AI to automate tasks, streamline processes, and free up valuable time so your team can focus on what really matters.
Our hands-on training helps staff build confidence in using AI tools, from automation to data analysis, improving both efficiency and decision-making.
We design and support AI systems tailored to your organisation, ensuring smooth integration with existing workflows and long-term efficiency gains.
Attendees will gain practical experience designing, building, and deploying AI-powered applications. The course equips learners to work confidently with AI pipelines, create production-ready solutions, and apply AI to solve real-world problems across industries including technology, finance, healthcare, and defence.
Our inhouse programmes are easy to arrange and can be tailored to meet more specific learning needs. Training can be run from your own premises, or we will help you select a suitable venue offsite. Our existing IT courses can be customised to meet your organisation requirements. With all our courses there are no hidden cost, the price you see is the price you pay.
With Infinity AI's inhouse training, your team can gain the essential IT skills they need without the inconvenience of off-site sessions. Our expert-led courses are designed to fit your business, maximising participation and providing customised solutions that boost productivity and performance. Let us bring the training to you, ensuring your entire team is equipped for success.
Inhouse Training
Infinity AI Learning focuses on hands-on, industry-relevant AI training. Our courses combine theory with real-world projects, expert mentorship, and access to professional tools and workflows. Learners acquire immediately applicable skills in AI development, preparing them for high-demand roles and complex AI projects.
