Artificial Intelligence, Automation, and Machine Learning Nepal

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
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Training Options

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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?

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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 can apply this course by building prompt libraries for common business tasks such as report drafting, policy summarisation, customer-response templates, and research synthesis. Technology teams can use the training to evaluate which internal use cases are safe to automate and which require human approval. Managers can apply the frameworks to set usage rules, reduce hallucination risk, and define quality checks before AI-generated content reaches clients or executives. Data and analytics teams can use LLMs to speed up analysis narratives and support self-service knowledge retrieval while keeping source data under control. The practical benefit is a clearer path from AI experimentation to repeatable business processes.

Expected ROI

Within 6 to 12 months, the main return is usually time saved on repetitive knowledge tasks and faster turnaround on first-draft content. Organisations also tend to see better consistency in internal documentation and improved responsiveness in support, marketing, and analysis workflows. The strongest outcomes come when teams pair the training with clear governance, because that reduces rework and the risk of using unreliable outputs. Leaders can then make better decisions about where to invest further in AI tools, integration, and staff capability.

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

3

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, summarising documents, and accelerating knowledge work within existing Microsoft 365 workflows.
  • ChatGPT OpenAI
    Used for ideation, drafting, question answering, and prototyping prompt-based workflows.
  • Gemini Google
    Used for content generation and multimodal assistance where teams already work in Google productivity tools.

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 Nepal

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 Nepal

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

Generative AI and LLM training matters in Nepal because the country’s technology, education, finance, and public-service teams are under pressure to improve productivity while keeping outputs accurate and governed. The course helps leaders decide where AI can safely automate drafting, knowledge search, and customer support, and where human review, privacy controls, and domain expertise remain essential. It is especially relevant for digital transformation teams, data and analytics groups, product owners, and executives responsible for operational efficiency and risk management. In a market where capability building is often the difference between experimentation and operational use, the training supports more disciplined adoption of AI tools.
Productivity with control

Nepali organisations can use generative AI to accelerate writing, summarisation, and internal knowledge access, but the main value comes from setting review workflows so outputs are checked before use in customer-facing or regulated contexts.

Capability gap is the bottleneck

For many teams, the limiting factor is not access to AI tools but the ability to write effective prompts, evaluate outputs, and integrate models into existing workflows without creating avoidable errors.

Cross-functional adoption matters

The training is most useful when technology leaders, business managers, and compliance teams learn together, because successful deployment depends on both technical configuration and decisions about data handling, accountability, and acceptable use.

This training is timely because generative AI is moving from experimentation to practical use, and organisations that do not build internal capability risk slower service delivery and weaker competitiveness. In Nepal, the biggest immediate need is to adopt AI in a controlled way that improves efficiency without exposing firms to quality, privacy, or governance problems.

Regulatory context in Nepal

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

3

Regulators

  • MoCIT Relevant to national digital policy and public-sector technology direction, including AI adoption and digital transformation priorities.
  • NTA Relevant where AI applications depend on telecom infrastructure, digital platforms, or service-provider compliance in connected environments.
  • OPC Important for data handling, privacy awareness, and governance when organisations use employee, customer, or citizen data in AI systems.

Frameworks the course aligns with

  • 01 Electronic Transactions Act, 2063 · 2008
  • 02 Privacy Act, 2075 · 2018

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

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Yes. For organisations at the early stage, the course helps teams identify practical use cases, set usage boundaries, and avoid common mistakes with prompts and output review. It is most valuable when paired with a shortlist of real internal processes that could benefit from automation or summarisation.

No. Data scientists can go deeper into model behaviour and evaluation, but business leaders, product owners, and operations teams often gain the most immediate value from learning how to use LLMs safely and effectively in daily work.

Yes. Common applications include drafting responses, summarising long documents, creating internal knowledge assistants, and preparing reports faster. The course also helps teams design review steps so customer-facing outputs remain accurate and on-brand.

The main risk is confident but incorrect output, especially when teams rely on AI without checking facts or sensitive details. Good implementation focuses on guardrails, approval workflows, and clear rules for what data can and cannot be used.

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.

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Barbours
Bank of Rwanda
RFA
Dahabshil Bank
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KCB Foundation
Ministry of Education Saudi Arabia
NSSF Uganda
RBA
Reserve Bank of Malawi
WASREB Kenya
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