Agentic AI for Business Automation: Use Cases & Integration Training Course

This instructor-led, live training in the UK (delivered online or on-site) is intended for beginner, intermediate, and advanced professionals who aim to utilise Artificial Intelligence in Project Management and Agile Methodologies to transition from manual coordination to data-driven orchestration. This category emphasises the application of Machine Learning and Large Language Models to resolve traditional “bottlenecks” in the Software Development Life Cycle (SDLC). By applying AI to areas such as GitOps, capacity planning, and requirements engineering, organisations can achieve greater forecasting precision and significantly curtail the time devoted to administrative overhead. This methodology enables teams to concentrate on high-value creative work while AI manages the intricacies of data processing and scenario planning.

Upon completion of this training, participants will be equipped to:

• Comprehend the technical foundations of Transformers, LLMs, and SLMs.
• Critically assess AI tools with regard to cost, latency, data privacy, and vendor lock-in.
• Master advanced prompt engineering and RAG techniques for professional deployment.
• Integrate AI throughout the entire Agile lifecycle, spanning from ideation and backlog refinement to risk management.
• Identify and mitigate risks associated with AI ethics, biases, hallucinations, and “model collapse”.
• Apply “model-based problem solving” to complex engineering and management tasks.

This instructor-led, live training in the UK (delivered online or in-person) targets professionals across beginner, intermediate, and advanced levels who intend to transition traditional architectural workflows into AI-native processes. Rather than supplanting the architect's creativity, the focus is on enhancing it—utilising Artificial Intelligence to manage repetitive tasks, expedite conceptualisation, and automate administrative loads. The workshop bridges the divide between raw sketches and high-end professional presentations.

Upon completing this training, participants will be equipped to:

• Generate three to five conceptual variants in the time previously required to create a single one.
• Execute independent high-level post-production on renderings, removing the necessity for external outsourcing for minor adjustments.
• Leverage Multimodal AI (Gemini/GPT) to analyse complex legal building codes and technical documentation.
• Establish automated administrative workflows to reclaim several hours of manual effort weekly.

This instructor-led, live training in the UK (online or onsite) is aimed at beginner-level to intermediate-level professionals from various departments who wish to learn how to efficiently use AI tools for daily tasks, saving time and improving productivity.

By the end of this training, participants will be able to:

• Identify AI-powered tools suitable for different tasks.
• Automate repetitive processes to improve workflow efficiency.
• Leverage AI for better communication, reporting, and decision-making.
• Ensure responsible and ethical AI usage in the workplace.

This instructor-led, live training in the UK is tailored for mixed teams from business and IT.

Upon completion, participants will be able to:

• Identify and prioritise AI use cases
• Develop functional prototypes within small teams
• Present findings and outline subsequent steps
• Integrate prototypes into the broader AI roadmap

A corporate hackathon empowers cross-functional teams from various departments and IT to experiment with AI on their specific challenges, allowing them to take practical solutions back with them. The structure integrates two preliminary discovery sessions with tool onboarding, a 24-hour intensive sprint, and a final pitch to management. Upon completion, each team leaves with a functional solution and a clear usage plan for the week ahead.

This live, instructor-led training in the UK is designed for: Mixed teams from departments and IT who wish to apply AI to their own problems and implement working solutions immediately.

By the conclusion of this training, participants will be equipped to:

• Refine departmental problems and bottlenecks into solvable challenges
• Gain familiarity with eight to ten AI tools and select the most appropriate one for a given task
• Collaborate in small teams to build a functional solution
• Assess solutions based on their benefits and feasibility
• Effectively present the results in a pitch
• Formulate a practical plan for implementation in the following week

Course Structure

• Duration: Two days on-site (including the 24-hour sprint) complemented by two prior discovery sessions
• Interactive training led by a facilitator, featuring discussions and hands-on exercises using participants' own use cases
• Pre-work Outcomes: Challenges, tool selection, and success criteria are established.
• Day 1 Outcomes: Each team has a refined challenge and a preliminary working version.
• Day 2 Outcomes: Each team possesses a working solution, a delivered pitch, and a usage plan for the following week.

Course Customisation Options

• Should you require a tailored training experience for this course, please get in touch to discuss the arrangements.

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