Artificial Intelligence Training and Talent Solutions

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The Learning Tree AI Adoption Framework Turns Investment into Impact

Click to explore the parts of the AI Adoption Framework to see how our programme supports your AI journey.

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Identify the need and build the right plan.

Guiding Question: Are we ready?

Before investing in AI enablement, organisations need a clear understanding of where AI can create value, what skills are needed, and how adoption should be measured. In the Align phase, Learning Tree works with your stakeholders to clarify goals, prioritise use cases, design the right enablement plan, and establish a measurable starting point.

Key Activities

Discover: Clarify business goals, priorities, audiences, and high-value AI opportunities.
Design: Co-design an AI Adoption Programme aligned to your roles, workflows, and business outcomes.
Benchmark: Establish a baseline for current AI knowledge, confidence, readiness, and expected impact.

Upskill and drive adoption.

Guiding Question: Are we capable?

AI adoption depends on more than access to tools or one-time training. Teams need practical skill-building, real-world application, and ongoing reinforcement that helps new behaviours stick. Learning Tree’s AI Activation Pathways help organisations build AI capability in the flow of work by aligning learning to the outcomes they want to achieve quick productivity gains, stronger workforce capability, or broader organisational transformation.

Key Activities
AI Activation Pathways

Productivity Pathways: Fueling Quick Wins that Turn AI Investment into Productivity Gains
Workforce Capability PathwaysDeeper AI role-based skills for the broader workforce
Organisational Transformation PathwaysLead AI transformation and build a resilient, AI-native organisation

Validate AI impact.

Guiding Question: Is AI delivering value?

To sustain AI adoption, organisations need to show what changed and where value was created. In the Demonstrate Value phase, Learning Tree helps measure progress against the original baseline and translate adoption results into clear, executive-ready evidence of business impact.

Key Activities

Measure: Assess post-programme AI knowledge, confidence, usage, behavior change, and perceived impact.
Prove Value: Translate results into a Learning Tree Impact Report that shows adoption progress, skill growth, and measurable AI value.

"64% of businesses expect AI to increase productivity" source

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The question is not whether we should use artificial intelligence, but when and how we use it. At different levels of an organisation, specific skills come into play. Executives and leaders should understand the strategic impact of AI, drive organisational AI adoption, and foster an AI-driven culture. Managers and project leads need to align AI initiatives with business goals, effectively communicate AI concepts, and manage AI projects. Individual contributors can focus on specific AI tasks such as data collection, preprocessing or model implementation.

Learning Tree offers a range of Artificial Intelligence training courses designed to empower professionals with the skills and knowledge necessary to harness the power of machine learning including:

  • Practical, hands-on, and instructor-led training in areas such as Chat GPT, Generative AI and machine learning for technical or professional use.
  • Artificial Intelligence On Demand courseware available with additional courses being added soon.
  • Flexible curriculum that allows you to customise your solutions for specific industries, roles, projects and organisational goals.
  • Individual and group-based coaching to help your organisation become proficient in AI, enabling users at all levels to effectively use AI technologies and drive successful AI initiatives.

Learning Tree AI training is valuable for both business and technical users, and enables professionals from different backgrounds to use AI for growth and success in their respective areas. Business users can gain an understanding of AI's applications and strategic implications, enabling informed decision-making, increased customer engagement and process improvement. Technical users who deepen their expertise in AI algorithms, deep learning and machine learning can contribute to advancements and develop innovative solutions. 

Artificial Intelligence training courses designed to help you and your team develop critical skills.

 

FOR SKILL AND ROLE BASED LEARNERS

Individuals may utilise organisational resources such as training budgets or tuition reimbursement for payment.

FOR ENTERPRISE-LEVEL TRAINING GROUPS:

Certification courses, skills-based courses, and coaching:

  • For groups
  • For individuals
  • On-site at place of work
  • In-person at a Learning Tree Education Center
  • Virtual

Learning Tree offers a range of Artificial Intelligence training courses designed to empower professionals with the skills and knowledge necessary to harness the power of machine learning including:

  • Practical, hands-on, and instructor-led training in areas such as Chat GPT, Google Gemini, and Microsoft Copilot and machine learning for technical and professional use.
  • Artificial Intelligence On Demand courseware is available with additional courses being added soon.
  • Flexible curriculum that allows you to customise your solutions for specific industries, roles, projects and organisational goals.
  • Individual and group-based coaching to help your organisation become proficient in AI, enabling users at all levels to effectively use AI technologies and drive successful AI initiatives.

Our team is ready to work with you to find the best purchasing vehicle for your needs.

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