AI Intermediate Course: Advanced Implementation and Business Solutions

Advance your AI expertise to drive meaningful business transformation with our AI Intermediate course. This comprehensive programme focuses on implementing AI solutions, developing workflows, and leading AI initiatives that deliver measurable organisational value and competitive advantage.

Delivered through advanced practical workshops and real-world business projects, you'll master AI implementation strategies, automation development, and data-driven decision making. Our industry-experienced instructors guide you through complex AI scenarios, ensuring you develop both strategic thinking and hands-on capabilities essential for AI leadership roles.

Mode of Study: Flexible Learning - Part Time / Online / Blended

Indicative Study Hours: 12-16 hours per week

Duration: 16-20 weeks (4-5 months) - This is an indicative duration, you will be able to complete early if you invest more study hours

Course Fee: £1,199 (flexible payment options available)

Guided Learning Hours: 280 hours

Entry Requirements:

Completion of the AI Foundation course or equivalent AI knowledge
OR demonstrable experience using AI tools in professional environments
Good understanding of business processes and workflow concepts
Intermediate computer skills and familiarity with cloud-based software

Ideal for:

AI Foundation graduates ready for advanced implementation responsibilities
IT professionals wanting to specialise in AI solutions and automation
Business analysts seeking to integrate AI into process improvement initiatives
Team leaders responsible for digital transformation and productivity enhancement
Consultants requiring AI implementation expertise for client services
Operations managers plan AI-driven workflow optimisation

AI Solution Implementation Projects: End-to-end development and deployment of AI-powered business solutions
Workflow Automation Portfolio: Creating and documenting automated processes using AI tools and platforms
Business Case Development: Comprehensive proposals for AI adoption, including ROI analysis and implementation plans
Client Presentation Scenarios: Presenting AI solutions to stakeholders via video conferencing with Q&A sessions

Course Details

Learning Aims

By completion, you will be able to:

Design and implement comprehensive AI workflows that automate complex business processes and improve operational efficiency
Develop custom AI solutions using no-code/low-code platforms and API integrations for specific organisational needs
Lead AI adoption initiatives, including change management, training development, and stakeholder engagement strategies
Analyse business requirements and architect AI solutions that deliver measurable value and competitive advantage
Integrate multiple AI tools and platforms to create sophisticated automation systems and intelligent workflows
Evaluate AI project outcomes, optimise performance, and scale successful implementations across organisations

Unit Structure

AI Solution Architecture - Designing comprehensive AI implementations, system integration, and scalability planning
Workflow Automation Development - Creating intelligent processes using Zapier, Microsoft Power Automate, and custom API integrations
Machine Learning Applications - Understanding and implementing ML solutions for business intelligence and predictive analytics
AI Project Management - Planning, executing, and measuring AI initiatives, including stakeholder management and change leadership
Custom AI Development - Building tailored solutions using no-code platforms, AI APIs, and integration frameworks
Advanced Data Analysis with AI - Leveraging AI for complex data interpretation, pattern recognition, and strategic business insights

Resources Required

Advanced AI Platforms - Premium access to multiple AI services, automation tools, and development platforms (included)
Development Tools - Access to no-code/low-code platforms, API testing tools, and integration software
Microsoft Power Platform or equivalent automation suite for workflow development
Data Analysis Software - Excel/Google Sheets with AI add-ons, or basic data analysis platforms
Project Management Tools - Access to collaborative project management and documentation platforms
Cloud Computing Credits - For testing and deploying AI solutions in cloud environments