Contact us to discuss our delivery options and schedules.

The business benefits of Generative AI are here now, but is your organisation struggling to understand how Gen AI can most immediately improve your business productivity?  The best place to start is uplifting the Prompt Engineering skills across your digital workforce.

Prompt Engineering is the skill and practice of writing effective and efficient prompts that harness the full capability and diversity of the incredibly powerful LLMs (Large Language Models) available in market today. More so, Prompt Engineering is no longer considered a specialist skill or function within an organisation.  Rather, all digital workers should be able to write and refine intelligent and targeted prompts to assist and expand their daily activities, regardless of role or seniority.

Transfit's Prompt Engineering Essentials course not only addresses the fundamentals of how Generative AI works, the importance of Gen AI governance, and how to write efficient Gen AI prompts, our hands on labs incorporate working examples of 'best practice' prompts that address the following highly relevant and immediately beneficial business use cases.

Text

  • Auto email reply / unsubscribe

  • Blog creation

  • Account plans

  • Tender response

  • Data analysis

Image

  • Image design

  • PowerPoint presentation

  • Advertising copy

Video

  • Training presentation

  • Animation creation

Code

  • Web design

  • Workflows

This is why our Prompt Engineering Essentials course should be your organisation's next L&D investment priority. 

Contact us to discuss our delivery options and schedules.

Contact us to discuss our delivery options and schedules.

The bad news is that you can no longer be considered a "full stack" developer if you don't know how to develop Gen AI applications.  More so, developing Gen AI applications is not as simple as picking up a new development language.  It is a multi-disciplinary skill set incorporating new data, design, development, and testing paradigms.

The good news is that there is rapidly growing demand for skilled software developers to help deliver many ground breaking Gen AI use cases.  Additionally, to help the wider Pro-Code (.Net, Java, Python, etc) developer communities take advantage of this opportunity, Transfit has developed our Gen AI Masterclass for Pro-Code Developers course to fast track this upskilling to just a few days.  To achieve this we have leveraged our considerable experience in delivering enterprise grade productionised Gen AI solutions along with our developer training heritage.

As the following curriculum summary highlights our Gen AI Masterclass for Pro-Code Developers course addresses all the key skills and practices professional software developers need to understand and apply in order to harness the incredible power of Generative AI technologies, including LLMs (Large Language Models).

Module1: Harnessing the power of LLMs (4h)

Summary: Participants will gain a foundational understanding of LLMs, their key capabilities, and the importance of guardrails for responsible AI usage.

Outcome: By the end of the module, participants will learn how to set up and manage LLM safety mechanisms to ensure ethical and controlled outputs

  • Session 1: Introduction to LLMs and Their Capabilities (1.5 hours)

  • Session 2: Prompt Engineering for LLMs (1.5 hours)

  • Session 3: Hands-on Lab - Implementing LLM Guardrails (1 hour)

Module 2: Advanced Tools and Techniques for LLM (4h)

Summary: Participants will learn how to enhance LLMs with Retrieval-Augmented Generation (RAG) and automate AI workflows using AutoGen and Multi-Agent systems, along with an introduction to Semantic Kernel and PromptFlow.

Outcome: Participants will gain skills to integrate advanced tools into LLM-based solutions for specific business applications

  • Session 1: Retrieval-Augmented Generation (RAG) (1 hour)

  • Session 2: AutoGen and Multi-Agent Systems (1 hour)

  • Session 3: Common Architecture Patterns (1 hour)

  • Session 4: Hands-on Lab - Building a RAG System (1 hour)

Module 3: Low-Code/No-Code Solutions for AI (4h)

Summary: Participants will learn to utilize low-code/no-code platforms like AI Studio and CoPilot Studio to quickly develop and deploy AI solutions with minimal coding.

Outcome: Participants will gain the ability to create and integrate AI applications into their business environments, accelerating digital transformation efforts.

  • Session 1: Introduction to Low-Code/No-Code AI Tools (1.5 hours)

  • Session 2: Building AI Solutions with AI Studio and CoPilot Studio (1.5 hours)

  • Session 3: Workshop - Creating a Low-Code AI Application (1 hour)

Module 4: Practical Deployment of LLMs in Business Scenarios (4h)

Pre-requisite: Customer to provide the real use-case

Summary: Participants will explore the differences between on-premises and cloud-based LLM deployments and understand how to apply LLMs in real-world business scenarios.

Outcome: Participants will develop a strategic roadmap for implementing LLMs within their organizations and outline the technical foundation, tailored to the business case needs.

  • Session 1: On-Premises vs. Cloud LLM Deployment (1.5 hours)

  • Session 2: Case Studies and Industry Applications (1.5 hours)

  • Session 3: Workshop - Developing an LLM Strategy (1 hour)

So, contact us to discuss our delivery options and schedules, and be one of the first to add Gen AI to your development capabilities.

Contact us to discuss our delivery options and schedules.

The successful delivery of Digital projects doesn't just happen by chance. It requires many practitioner working in concert, including Project Managers, Product Owners, and Change Managers as well as Business Analysts, Experience Engineers, and Solution Architects, quite apart from the technical specialists aligned to the solution. Add to this other stakeholders such as Executive Sponsor, Finance Partner, and Business SMEs, as well as external customers, service providers, and vendors, and the inevitable question arises - who actually 'owns' overall delivery responsibility?

Experience has taught us that, as defined in our Digital Excellence Framework, delivery management is a unique leadership role with distinct, complementary skills and responsibilities to the other practitioner roles who may be involved in a digital delivery project. We call this role the Digital Excellence Lead. Incorporating a Digital Excellence Lead into your project, and assigning them overall delivery responsibility, provides clear accountabilities and reporting lines for the project team and executive sponsor, without which true delivery ownership can be vague or non existent - remembering "Success has many fathers, but failure is an orphan".

To learn more about the Digital Excellence Framework and how it, and the Digital Excellence Lead role, supports the 'success shaping' and 'delivery assurance' of digital projects, join one of our upcoming free Digital Excellence webinars. During this free online webinar we will discuss

  • the importance of formal and robust Success Shaping and Delivery Assurance,

  • how Digital Excellence Leadership differs from, and is complementary to, project, product, and change management,

  • why it is critical to the success of technical and non-technical initiatives alike, and

  • how our Digital Excellence Framework supports all roles and functions within the project lifecycle.

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