Category: Technical IT training

The rapid adoption of cloud technologies continues to shape the future of work, yet organisations face a critical skills gap in cloud computing.

This shortage is impacting their ability to innovate, scale operations, and remain competitive. As we approach 2025, prioritising the right learning and development (L&D) programmes is key to navigating these challenges.

The cloud skills shortage: A clear call to action

The demand for cloud expertise is growing exponentially. Research from LinkedIn’s Workplace Learning Report highlights that cloud computing is among the top 10 most in-demand hard skills globally. Similarly, Microsoft’s analysis on workforce trends emphasises the need for expertise in areas such as Azure administration, AI integration, and DevOps engineering, critical for leveraging cloud solutions effectively​

Where organisations should prioritise L&D investments

1. Cloud platform expertise
   Certifications in platforms like Microsoft Azure, Amazon Web Services (AWS), and Google Cloud are essential. Microsoft’s Azure Fundamentals certification, for instance, provides a foundational understanding of cloud concepts, services, and security best practices, making it an excellent starting point.
2. Cloud security
   Cybersecurity in the cloud is a growing concern, with organisations needing to protect sensitive data and ensure compliance. Investing in certifications such as the Microsoft Certified: Security, Compliance, and Identity Fundamentals can help teams address these risks proactively.
3. Data analytics and AI in the cloud
   Microsoft’s cloud-based tools like Power BI and Azure Machine Learning allow businesses to harness data for predictive insights and innovation. Training employees in these tools can unlock new opportunities for smarter decision-making.
4. DevOps and automation
   Training in Azure DevOps, along with platforms like Jenkins and Kubernetes, ensures efficient collaboration between development and operations teams, streamlining software deployment and system management.
5. Collaboration tools
   Cloud-based productivity tools like Microsoft 365 are essential for fostering teamwork. Offering training in Teams, SharePoint, and OneDrive helps employees work more effectively in hybrid or remote settings.

How managed learning services can help

Managed Learning Services (MLS) are invaluable in addressing the cloud computing skills shortage. They provide:

• Customised learning pathways: Tailored to focus on Microsoft-specific certifications and broader cloud expertise.
• Access to industry experts: Trainers with real-world experience in cloud environments like Azure and AWS.
• Learning analytics: Track progress, identify gaps, and measure ROI for training programmes.

Future-proof your workforce today

By leveraging MLS, organisations can ensure their teams are equipped with both technical skills and strategic insight to thrive in a cloud-first world.

Start building your cloud capabilities with targeted L&D programmes, find out more about our managed learning services.

This guest blog post is written by one of our approved companies for cybersecurity training.  

Social engineering is a cyber attack method that relies on human interaction and often centres around the cybercriminal using persuasion and/or confidence in their approach. The aim of social engineering is to influence or trick people into providing access to physical locations or digital systems or to disclose sensitive information.

When cyber criminals use social engineering, they will conceal their true identity and motives and present themselves as trusted individuals. Ultimately, they rely on people’s willingness to be helpful, or they prey on peoples fear of punishment. For example, the attacker might pretend to be a colleague who has some kind of urgent problem that requires access to additional network resources.

Social engineering is a common tactic because it is often easier to exploit people than it is to find a network or software vulnerability, and most times it is used as a first step in a larger campaign to infiltrate a system or network.

Types of social engineering

We’ve all heard of phishing, the most well-known type of social engineering, but what about spear phishing? Smishing? Vishing? Quishing? Tishing? And then there’s Tailgating?

These aren’t words we just made up – they are real social engineering strategies we need to be alert to. Here are some top tips to not be tricked by social engineering tactics.

Prevent a phisher

Phishing: emails are designed to trick you into sharing sensitive information or opening malicious attachments.

Be aware of the tell-tale signs of a phishing email, typically these are email addresses that don’t match the sender details and unusual attachments, links or buttons.

Remember: With the increasing use of Artificial Intelligence (AI) to create phishing emails they are  much harder to spot as they will be error free.

Two top tips:

1. Have you received an unexpected or unusual message? Always pause and think before you click.
2. If you receive a suspicious email, don’t download any attachments or click any links, and never reply to the email.

Spot a spear phisher

Spear phishing: emails targeting a specific individual, team or organisation.

Spear phishing emails are sophisticated and targeted. The attacker might know your name and job role and they may pretend to be a person, department or company you know and trust. This makes these attacks more difficult to spot.

Stay alert, always ask yourself: Is this a normal request from this person? Are they asking me to act urgently? Are they asking for sensitive personal, Institution or financial information?

Two top tips:

1. Stop and think before you open any attachments or give out any sensitive information.
2. If you’re suspicious, call the sender on a trusted number to check the request is genuine.

Remember: Spear phishing often starts with the cybercriminal building up trust over time through an ongoing conversation. Ensure you can always verify who you are communicating with.

Outsmart a smisher

Smishing: a phishing attack carried out by text message.

A smishing attack is short and sharp – the attacker will often demand that you urgently reply, call a provided number, or click a link. Look out for urgent language, shortened links that disguise their destination and suspicious numbers that don’t look like real mobile phone numbers.

Two top tips:

1. Never call a number or follow a link you have received by text. If you think it’s genuine, visit the real website or call them on a known phone number.
2. Do not reply to the text – this could open you up to further attacks.

Avoid a visher

Vishing: a phishing attack carried out over the phone.

Vishing attacks will rely on your polite and helpful nature to catch you out. You should be suspicious if you receive an unsolicited call or a call from an unknown number. Also, be alert if the caller asks you to confirm personal or security information for ‘verification’ purposes or they tell you to act urgently or use threatening language.

Remember: With the use of deepfake technology voices can be easily cloned. So always trust your instincts and verify the request using other means, such as you calling the person back on a trusted number.

Two top tips:

1. Never give out information requested over the phone.
2. If you think the call is suspicious or unusual, verify the caller by ending the call and phoning them back on a number from a trusted source.

Talk to the tailgater

Tailgating is when a cyber criminal uses social engineering tactics and walks into a secure building immediately behind someone who is authorised to be there. The strategy relies on someone being polite and holding a door open.

Two top tips

1. Never allow anyone to follow immediately behind you into a secure area.
2. Always talk to someone without a visitors badge and show them where they can legitimately sign in.

To discuss this blog in more detail or to explore your current cybersecurity learning needs please contact kate@optimuslearningservices.com.

The author of this article is Bebe Lees, Head of Communications and Consultancy for The Security Company (TSC).

TSC specialises in boosting data privacy and cyber awareness, targeted training, customised projects and role-based solutions for over 20 years. From their tailored subscription services, to bespoke eLearning, awareness materials and behavioural assessments, they’re committed to helping organisations like yours instil long-term, security-conscious behaviours.

In today’s fast-paced digital landscape, technology training is no longer optional—it’s critical for businesses to stay competitive, innovate, and future-proof their operations.

With the rapid evolution of areas like artificial intelligence (AI), cloud computing, cybersecurity, and data science, companies must adopt a robust Learning & Development (L&D) strategy to ensure their workforce is continually upskilled and ready for the challenges of the future.

But what makes a successful L&D strategy for IT and technology training? In this blog, we’ll explore key components of an effective approach and how businesses can align learning initiatives with technological advancement and employee development.

1. Focus on continuous learning and upskilling

Technology changes fast, and so should your training. In the IT and tech fields, learning can’t be a one-off activity. An effective L&D strategy should emphasise continuous learning—offering employees ongoing access to resources that keep them up to date on the latest trends, tools, and technologies.

Upskilling learning programmes should be structured to enable employees to move beyond their current competencies, expanding their skillsets in emerging areas like AI, blockchain, or DevOps. This helps your business remain competitive while encouraging employee growth and engagement.

How to implement this:

• Develop a modular learning path for employees, offering bite-sized courses that can be consumed on demand.
• Use microlearning modules to deliver quick, focused training that fits into busy schedules.

2. Personalisation using AI and data-driven learning

Today’s IT professionals need training that’s relevant, immediate, and impactful. A one-size-fits-all approach no longer works. Instead, businesses should adopt personalised learning paths tailored to individual employees’ current skills, roles, and career goals.

AI-driven platforms can create personalised learning experiences by analysing an employee’s performance and offering specific courses or materials that match their needs. Leveraging data analytics within L&D platforms enables organisations to track progress and adjust learning paths in real-time, ensuring more targeted and effective learning.

How to implement this:

• Use AI-powered platforms that suggest personalised learning content based on employee assessments.
• Implement data-driven tracking to monitor employee progress and adjust their learning paths accordingly.
• Offer adaptive learning modules, where the complexity of the course content adjusts based on the learner’s proficiency.

3. Blended learning for a flexible approach

IT professionals often need a mix of theoretical knowledge and hands-on experience to effectively master new technologies. A successful L&D strategy should incorporate blended learning, combining virtual learning with practical, in-person sessions.

While online platforms offer flexibility, hands-on learning in virtual labs or simulated environments ensures that employees can put theoretical knowledge into practice. This approach is particularly effective for areas like cybersecurity and cloud computing, where employees need practical experience managing real-world scenarios.

How to implement this:

• Introduce virtual labs and sandbox environments where employees can experiment with cloud deployments, DevOps pipelines, or AI projects.
• Use webinars, interactive workshops, and in-person coaching to complement digital training.
• Offer certification programmes in partnership with recognised organisations (e.g., AWS, Microsoft, Cisco) to provide both theoretical learning and practical accreditation.

4. Certifications and industry standards matter

Certifications are highly valuable in the IT and tech industry, as they validate an employee’s expertise and competency in specific areas. Many companies are investing in training programmes that lead to industry-recognised certifications, such as AWS Certified Solutions Architect, CompTIA Security+, or Certified Ethical Hacker (CEH).

A well-rounded L&D strategy should include certification programmes aligned with the most relevant technologies and skills for the business. Not only do certifications ensure that employees are well-equipped for their roles, but they also enhance the company’s credibility when dealing with clients, partners, and stakeholders.

How to implement this:

• Offer employees access to certification courses that are in line with the latest industry standards.
• Create internal training boot camps designed to prepare employees for specific certifications.
• Recognise and reward employees who achieve certifications to encourage continued development.

5. Gamification and interactive learning for higher engagement

Incorporating gamification and interactive learning can significantly increase engagement and retention among IT professionals. Gamified elements such as badges, leaderboards, and challenges make learning more interactive and rewarding, encouraging employees to complete their training and continuously improve.

For technical training, especially in areas like cybersecurity or data science, simulated environments and real-world scenarios can provide immersive experiences where employees can practice solving complex problems in a risk-free setting.

How to implement this:

• Introduce gamified learning platforms that allow employees to earn rewards or track their progress through points and badges.
• Use simulation tools to provide real-world problem-solving experiences, such as cyberattack simulations in security training.
• Launch internal competitions or hackathons to foster collaboration and innovation.

6. Agile and DevOps-focused learning

As more businesses adopt Agile and DevOps methodologies, it’s important to align your L&D strategy with these frameworks. Agile learning focuses on delivering quick, iterative training content that adapts to the ever-changing nature of the technology landscape.

Additionally, DevOps-specific training emphasizes collaboration between development and operations teams, helping employees master automation tools, continuous integration/continuous deployment (CI/CD), and cloud infrastructure management.

How to implement this:

• Develop role-specific learning paths for DevOps engineers, operations teams, and developers, focusing on collaborative learning.
• Incorporate Agile principles into your training programs, such as iterative feedback loops and sprint-based learning cycles.
• Encourage cross-functional training to build versatile teams that can adopt DevOps culture and tools.

7. Embracing remote and hybrid learning environments

With the shift to remote and hybrid work environments, IT training programmes must adapt to these new realities. A successful L&D strategy incorporates flexible learning options that cater to both in-office and remote employees. Cloud-based learning platforms, virtual classrooms, and collaboration tools allow for seamless learning experiences, no matter where employees are located.

How to implement this:

• Use cloud-based LMS platforms to deliver training across different locations and time zones.
• Incorporate virtual mentorship programmes to provide remote employees with guidance and support.
• Ensure that training resources are accessible from any device, making it easy for employees to engage in learning from home or on the go.

Conclusion: Adapting your L&D Strategy for the future of IT training

Building an effective L&D strategy for IT and technology training is about more than just keeping pace with technological advances—it’s about preparing your workforce to lead the way in innovation. By focusing on continuous learning, personalisation, blended learning, and the integration of certifications, businesses can stay ahead in a fast-evolving industry.

As the demand for tech skills grows, adopting these key L&D strategies will not only enhance your team’s capabilities but also ensure your organisation remains agile, resilient, and future-ready.

Build an effective L&D strategy with managed learning services

By leveraging training outsourcing and Managed Learning Services, organisations can build an effective and agile L&D strategy that meets the complex demands of IT and tech training.

These services provide access to specialised expertise, streamline operations, and offer scalable, cost-effective solutions—allowing your business to remain innovative and future-focused in an increasingly digital world.

Find out more about our training outsourcing and managed learning services.

Artificial Intelligence (AI) is rapidly becoming an integral part of modern business, offering new ways to streamline processes, improve decision-making, and innovate products and services. However, for AI to be successfully embedded into the workplace, it requires more than just adopting the right technology – it also requires a well-trained, AI-literate workforce.

In this blog, we’ll explore the key types of training needed to integrate AI effectively into the workplace and how to prepare your employees for the AI-driven future.

1. AI awareness and digital literacy training

For organisations new to AI, the first step is building AI awareness and improving digital literacy across the workforce. AI might seem complex and intimidating, but it’s crucial that employees at all levels have a basic understanding of AI’s capabilities, potential, and limitations.

• Key focus areas:
  • Understanding AI: Basic concepts of AI, machine learning, and data analytics.
  • Practical use cases: How AI is used in different industries and departments.
  • Impact on job roles: How AI will augment, rather than replace, employees’ roles.
  • Ethics of AI: Educating employees on the ethical considerations and potential biases involved in AI decision-making.
• Why it’s important: AI awareness training helps eliminate fear of the unknown and encourages employees to see AI as a tool that can enhance their work rather than replace it. It fosters a positive culture around AI adoption and ensures that employees are aligned with the organisation’s AI strategy.

2. Data literacy and data management training

AI is fueled by data, making data literacy an essential skill for employees at all levels. Employees need to understand how to work with data, interpret results, and ensure the data they interact with is accurate and relevant.

• Key focus areas:
  • Data collection: Best practices for collecting and organising data.
  • Data analysis tools: Introduction to basic data analytics tools that integrate with AI systems.
  • Data privacy and security: Ensuring employees understand data protection regulations (e.g., GDPR) and how to manage sensitive data securely.
  • Using data for decision-making: Training on how AI uses data to inform decisions and how employees can leverage data in their day-to-day tasks.
• Why it’s important: AI systems rely heavily on quality data, and without data-literate employees, your AI solutions won’t reach their full potential. Employees must know how to feed AI systems with the right information and interpret the outputs effectively.

3. AI tools and software training

As businesses begin to implement AI into daily workflows, it’s essential to provide hands-on training with the specific AI tools and software your company uses. This ensures employees are comfortable using AI-driven technologies in their roles.

• Key focus areas:
  • AI-powered software: Training on specific AI applications relevant to your industry (e.g., CRM systems, predictive analytics tools, or AI-enhanced project management software).
  • Automation tools: How to leverage AI-driven automation tools to streamline repetitive tasks and improve efficiency.
  • AI in decision support: How AI can assist in decision-making processes by analysing data patterns and predicting outcomes.
• Why it’s important: Giving employees hands-on experience with AI tools will help them understand how AI can make their jobs easier, increase productivity, and reduce errors. This practical knowledge will accelerate the adoption of AI technologies and help employees feel more confident in using them.

4. AI and machine learning fundamentals for technical teams

While AI awareness training is necessary for all employees, technical teams (such as IT, data science, and engineering) require deeper knowledge of AI and machine learning (ML) fundamentals. This specialised training ensures they can build, manage, and optimise AI systems effectively.

• Key focus areas:
  • Machine learning algorithms: Understanding the types of ML algorithms, such as supervised learning, unsupervised learning, and reinforcement learning.
  • AI model development: How to build, train, and evaluate machine learning models.
  • AI infrastructure: Familiarity with the hardware and software needed to support AI workloads (e.g., cloud-based AI services or on-premise AI systems).
  • AI troubleshooting and maintenance: Best practices for monitoring AI performance, identifying issues, and fine-tuning models over time.
• Why it’s important: AI and ML systems require ongoing management and refinement, and your technical teams need the skills to handle this. Investing in advanced training for these teams ensures that your AI initiatives are sustainable and scalable over time.

5. Change management and AI integration training for leaders

Implementing AI into the workplace isn’t just a technological challenge—it’s a cultural one. Leaders and managers play a crucial role in overseeing the integration of AI into business processes and guiding their teams through this transformation.

• Key focus areas:
  • AI change management: Strategies for effectively leading teams through AI adoption, addressing resistance, and building a culture that embraces AI innovation.
  • AI in strategy development: How to incorporate AI into long-term business strategies and identify opportunities for AI-driven growth.
  • AI-driven decision-making: Training on how to leverage AI insights to make more informed and data-driven decisions.
  • Reskilling and upskilling teams: Best practices for helping employees adapt to new AI tools and encouraging continuous learning.
• Why it’s important: Leaders need to be equipped with the knowledge and skills to successfully integrate AI into their teams’ workflows and align AI initiatives with the broader business strategy. Change management training helps ensure that AI adoption is smooth and that teams remain motivated and engaged throughout the process.

6. Reskilling and upskilling programmes for employees

As AI automates certain tasks, employees will need to focus on skills that are less likely to be automated, such as problem-solving, creativity, emotional intelligence, and strategic thinking. Reskilling and upskilling programmes are essential for preparing your workforce for an AI-driven future.

• Key focus areas:
  • AI-augmented roles: How AI will change specific job functions and what new skills will be required.
  • Soft skills development: Training in areas such as critical thinking, communication, leadership, and adaptability, which will be increasingly important as AI takes over routine tasks.
  • Lifelong learning: Encouraging a culture of continuous learning, where employees are motivated to develop new skills in response to changing job requirements.
• Why it’s important: As AI transforms roles, employees must shift their focus to higher-value activities that AI can’t perform. By reskilling and upskilling your workforce, you can retain top talent, boost employee morale, and ensure long-term business success.

Conclusion: Building an AI-ready workforce

Successfully embedding AI into the workplace requires a strategic approach to training. From foundational AI awareness programmes to advanced technical training for IT teams, preparing your workforce for AI is critical to realising the full potential of this transformative technology.

By investing in the right training, you empower your employees to embrace AI, increase their productivity, and future-proof your organisation. AI is more than just a tool—it’s a new way of working, and organisations that equip their teams with the necessary skills will be best positioned to thrive in the AI-driven economy.

What’s your next step in AI?

This blog provides a clear roadmap for the training required to embed AI into the workplace, focusing on both technical and non-technical aspects to ensure an organisation-wide adoption.

Is your organisation ready to take your next step in AI adoption? Start with the right training, and your workforce will be well-prepared to integrate AI into every aspect of the business.

Please contact us if you need support with your AI L&D, we can advise on what training you need as part of our training sourcing and management services.

We, and many other Managed Learning Services companies, continue to see a growth in demand for ITIL skills and qualifications. Here’s our thoughts on why that is. Continue reading “Why is demand for ITIL Qualifications continuing to grow?”

A lot of water has passed under the bridge since ITIL4 was launched back in 2018.

One of the key objectives from the updated best practice framework for IT Service Management was to bring it in line with “new ways of working”. Well, not quite what was intended from the ITIL development team, but the global pandemic forced every organisation to consider new ways of working to adapt business models to cope with more flexible working arrangements, potentially changing the working landscape forever. Continue reading “The value of value streams in ITIL”

Agility has most definitely been the buzz word for several years, with organisations from just about every sector from fashion to pharmaceuticals citing this as part of their strategy. Recent global events such as Brexit and the Covid pandemic seem to have added fuel to the fire, however, achieving the benefits from Agile transformation remains the challenge.

In this article we’ll explore what is meant by agility in the workplace, why the benefits are often not achieved and how this situation can be turned around.

Continue reading “Getting business agility right”

Optimus is offering 30% off all Microsoft training courses booked during March 2022 (courses can be attended anytime between now and the 30^th September 2022).

Continue reading “30% off Microsoft training”