Artificial Intelligence, Automation, and Machine Learning Finland

Generative AI and Large Language Models (LLMs) Training Course

In the rapidly evolving landscape of artificial intelligence, generative AI and large language models (LLMs) are transforming how businesses operate. Do you have the expertise to leverage these technologies effectively? Organizations that fail to adopt these advances risk falling behind in efficiency and innovation, potentially losing market share to more agile competitors.

This course bridges the gap between aspiration and actionable expertise, equipping you with the skills needed to harness the power of generative AI and LLMs. Are you prepared to demonstrate tangible results to your leadership team? Designed for technology leaders, data scientists, and strategic decision-makers, this course focuses on practical implementation, providing tools and frameworks to drive measurable improvements. Unlock the potential of AI with confidence and precision.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Intermediate
Level
Download Brochure

Choose Your Preferred Training Format

Training Options

Reserve Your Spot Today — Pay When You're Ready!

Live Online Training

Join from anywhere with interactive virtual sessions

Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Mon - Fri (5 Days)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850
Starts
Ends
Weekend (4 Wks)
USD 850

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,600
Kigali Rwanda
Mon - Fri
5 Days
USD 1,900
Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,100
Zanzibar Tanzania
Mon - Fri
5 Days
USD 2,400
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,600 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,100 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 2,800 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,400 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 3,900 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,500 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,300 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,700 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

Code Start Date End Date Duration Fee
GLL-01 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
GLL-01 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →
GLL-01 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
GLL-01 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →
GLL-01 Mon - Fri (5 Days) USD 850 Reserve my seat → Reserve team seats →
GLL-01 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →
GLL-01 Weekend (4 Weeks) USD 850 Reserve my seat → Reserve team seats →

Our instructor comes to your office — same curriculum and accredited certificate, with case studies built around the work your team actually does.

Team Training

Train your entire team together in a familiar environment for better collaboration

Fully Customized

Content tailored to your industry, tools, and specific business challenges

Cost Effective

Save on travel & accommodation costs when training multiple employees

Flexible Scheduling

Choose dates that work best for your team's availability and projects

How It Works
1
Request a Quote

Tell us about your team size, preferred dates, and training goals

2
Get a Custom Proposal

Receive a tailored training plan and competitive pricing within 24 hours

3
We Come to You

Our certified trainer arrives ready to deliver impactful, hands-on training

Ready to upskill your team on Generative AI and Large Language Models (LLMs) Training?

No commitment required · Response within 24 hours

About the Course

Organizations today seek concrete outcomes from AI investments, demanding clear evidence of enhanced efficiency, innovation, and strategic advantage. To meet these demands, you need to demonstrate capabilities such as integrating AI into existing systems, managing ethical considerations, optimizing model performance, ensuring data privacy, and translating AI insights into business value.

This course turns fragmented knowledge into a cohesive framework for action. You'll gain expertise in deploying generative AI tools, implementing large language models, measuring AI impact, managing AI ethics, automating processes, and crafting AI-driven strategies. These skills will enable you to position your organization at the forefront of AI innovation.

Even with budget constraints and competing priorities, this course is designed for professionals who must deliver AI-driven results efficiently. By focusing on practical applications and strategic insights, you'll learn to navigate the complexities of AI deployment with confidence.


Target Audience

This course is ideal for professionals across various roles who are responsible for integrating AI technologies into their operations.

This course is designed for:

  • Technology Leaders responsible for digital transformation
  • Data Scientists focusing on AI model development
  • AI Strategy Managers driving organizational innovation
  • IT Directors overseeing AI infrastructure
  • R&D Managers implementing AI solutions
  • Product Managers integrating AI features
  • Compliance Officers ensuring AI ethics and governance
  • Business Analysts translating AI insights
  • Operations Managers optimizing processes with AI
  • Anyone accountable for AI-driven business outcomes

Course Objectives

This course equips you to implement, execute, and measure AI initiatives that enhance innovation, ensure compliance, and drive strategic growth.

By the end of this course, you'll be able to:

  • Analyze the architecture and capabilities of large language models
  • Evaluate AI tools and frameworks for business applications
  • Implement generative AI solutions for process innovation
  • Develop strategies to integrate LLMs into workflows
  • Assess the ethical implications of AI deployments
  • Construct stakeholder engagement plans for AI initiatives
  • Set performance metrics and track AI impact
  • Communicate AI-driven results to key decision-makers

Requirements & Prerequisites

Participants should have a basic understanding of AI technologies and some experience in data-driven decision-making.


Local Application and Business Return

How participants can apply the training in local operating conditions, and the return their organisation can plan for.

How participants apply this

Participants apply this course by identifying high-value AI use cases in their own teams, such as internal knowledge search, customer response drafting, document summarisation, and code or analytics assistance. They learn how to assess whether a use case needs a hosted model, a managed API, or a more controlled internal deployment. In Finland, that also means working with privacy, security, procurement, and legal stakeholders early so pilots do not stall at approval. The practical output is usually a shortlist of use cases, a governance checklist, and a pilot plan that can move into production if it performs well.

Expected ROI

Within 6–12 months, organisations usually see faster drafting, faster first-pass analysis, and reduced time spent on repetitive knowledge work when the right use cases are selected. The bigger return often comes from improved throughput rather than full replacement of staff, especially in expert-heavy functions. Training also reduces wasted pilot spend by helping leaders reject weak use cases earlier and focus on workflows that can actually be governed and measured. In practice, the most valuable outcome is a repeatable method for deciding where generative AI should be used, where it should be restricted, and how success will be measured.

Training Methodology

This is a practical, outcome-driven course designed to turn AI aspirations into measurable action and credible reporting.

Methodology includes:

  • Hands-on exercises with AI tool measurement and calculation
  • Scenario-based simulations for AI strategy development
  • Ethical assessment tool for AI governance
  • Stakeholder evaluation framework for AI integration
  • Industry case studies from finance, healthcare, and manufacturing
  • Group strategy design exercises under resource constraints
  • Reflection prompts challenging current AI practices

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 850
29th Jun-3rd Jul 2026

Nairobi

Kenya
USD 1,600
29th Jun-3rd Jul 2026

Kigali

Rwanda
USD 1,900
22nd Jun-26th Jun 2026

Dubai

United Arab Emirates (UAE)
USD 4,100
22nd Jun-26th Jun 2026

Abuja

Nigeria
USD 2,800
22nd Jun-26th Jun 2026

Zanzibar

Tanzania
USD 2,400
6th Jul-10th Jul 2026

Addis Ababa

Ethiopia
USD 2,500
13th Jul-17th Jul 2026

Mombasa

Kenya
USD 1,700
6th Jul-10th Jul 2026

Cape Town

South Africa
USD 3,900
29th Jun-3rd Jul 2026

Johannesburg

South Africa
USD 3,500
20th Jul-24th Jul 2026

Pretoria

South Africa
USD 3,300
22nd Jun-26th Jun 2026

Kampala

Uganda
USD 1,900
6th Jul-10th Jul 2026

Lagos

Nigeria
USD 2,500
22nd Jun-26th Jun 2026

Certification

Recognized credentials that advance your career

Participants who complete the Generative AI and Large Language Models (LLMs) Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

In-Demand Skills Mastery

  • Master prompt engineering, fine-tuning, and RAG architectures employers desperately need now.
  • Build production-ready GenAI applications using real-world industry datasets and frameworks.
  • Gain hands-on fluency with GPT, LLaMA, and leading open-source LLM ecosystems.

Career Acceleration

  • Position yourself for AI-first roles commanding 40%+ salary premiums today.
  • Graduate with a portfolio of GenAI projects that instantly impresses hiring managers.
  • Join the top 3% of professionals qualified to lead enterprise AI transformation.

Expert-Led Flexible Learning

  • Learn from practitioners actively deploying LLMs at Fortune 500 companies.
  • Access live sessions, recorded labs, and mentor support on your schedule.
  • Earn an industry-recognized credential without pausing your current career.

Tools and platforms relevant to this field

Examples Finland teams may encounter, and that may be featured in training where they support the confirmed course scope.

5

These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.

  • Microsoft Copilot Microsoft
    Used for drafting, summarisation, and workplace productivity workflows in Microsoft 365 environments, which are common in office-heavy Finnish organisations.
  • Azure OpenAI Service Microsoft
    Used to build enterprise LLM applications with organisation-controlled security, identity, and deployment options.
  • Google Cloud Vertex AI Google
    Used for model development, tuning, and managed generative AI application workflows.
  • Amazon Bedrock Amazon Web Services
    Used to access foundation models through a managed cloud service for enterprise AI application development.
  • OpenAI API OpenAI
    Used to integrate LLM capabilities into internal tools, assistants, and automation workflows.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Local market advisory

Course relevance for Finland

A country-specific view of market pressure, regulatory context, and practical business return behind this training.

  • Market context
  • Regulatory fit
  • Business application

Why this course matters in Finland

A market-specific advisory on the operating pressures this course helps teams address.

Generative AI and LLM training matters in Finland because organisations are moving from experimentation to governed deployment, and the value now depends on whether teams can connect models to real workflows, data controls, and risk management. In a market with strong digital public services, export-oriented industry, and sophisticated knowledge work, leaders need practical capability to choose use cases, design guardrails, and measure productivity gains. The course is especially relevant for technology, data, legal, compliance, and business transformation teams that must decide where AI can safely improve service, content, analysis, and internal operations. It helps leaders turn AI from a general strategy topic into specific investment, operating-model, and workforce decisions.
Governed adoption is the real bottleneck

For Finnish organisations, the main issue is no longer whether generative AI exists, but how to deploy it with data protection, human oversight, and internal controls that fit regulated and knowledge-intensive workflows.

Productivity gains depend on use-case selection

Teams in manufacturing, services, and public administration need training that separates low-risk internal assistants from higher-risk customer-facing or decision-support uses, so investment goes to tasks with measurable time savings.

Cross-functional capability is essential

The most effective programmes in Finland will involve technology leaders, data scientists, legal and compliance teams, and business owners together, because LLM deployments typically fail when policy, architecture, and operating processes are designed in isolation.

This training is timely because Finnish organisations are under pressure to improve productivity while introducing AI in a way that respects privacy, accountability, and workplace change management. The practical challenge is not access to models, but building the internal capability to evaluate vendors, control data use, and scale pilots into reliable business processes.

Regulatory context in Finland

The local regulators, laws, and frameworks shaping this discipline, with the curriculum mapped to what teams need to know.

4

Regulators

  • Data Protection Ombudsman Oversees personal data protection matters that affect training data, prompts, outputs, and workplace AI use.
  • Traficom Relevant for digital services, cybersecurity, and communications-related compliance where AI systems are deployed in connected environments.
  • KKV Relevant where AI is used in consumer-facing services, pricing, recommendations, or automated customer interactions.
  • FIN-FSA Relevant for banks, insurers, and other financial firms using AI in customer service, compliance, risk, or decision support.

Frameworks the course aligns with

  • 01 Tietosuojalaki · 2018
  • 02 Laki sähköisen viestinnän palveluista · 2014
  • 03 Laki julkisen hallinnon tiedonhallinnasta · 2019
  • 04 Kuluttajansuojalaki · 1978

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

Who else has attended this training course?

Join global leaders and experts from top-tier organizations who have already benefited from this training. Here are just a few of our past participants:

Designation Organization
Creative Services Officer Amana Bank Limited, Tanzania, United Republic of

Your seat is waiting.

Join these industry leaders and take the next step in your career.

No. The course is useful for business leaders and managers as well as technical teams, because the key questions are use-case selection, governance, and value measurement. Technical participants get more depth on implementation, while non-technical participants gain the language to make informed decisions.

It is especially useful where data handling, accountability, and auditability matter, because LLM projects can fail if they are built without clear rules for data use and human review. The course helps teams define safe boundaries before scaling a pilot.

Internal productivity use cases are usually the safest starting point, such as summarising documents, drafting responses, or helping staff search internal knowledge. These projects are easier to test, easier to control, and easier to measure than fully automated customer-facing decisions.

Yes. A strong generative AI capability helps teams compare hosted tools, managed cloud services, and more customised internal builds based on security, cost, speed, and control. That is often the most important decision after the initial pilot phase.

Customize Training Duration

The standard duration for Generative AI and Large Language Models (LLMs) Training is 5 Days. The options below are alternative durations with adjusted pricing.

Looking for the standard 5 Days schedule? Use the button below.

Trusted by 100+ organizations across 40+ countries

Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Premier Bank
Amnesty International
UNDT SACCO
UNFPA
USAID
AMREF Health Africa
KENTRADE
CPF
UFIA
UNICEF
Central Bank of Kenya
UNDP
GIZ
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University
Barbours
Bank of Rwanda
RFA
Dahabshil Bank
Dorcas Aid
Finn Church Aid
KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
Virginia Commonwealth University