Large Language Models (LLMs) Training in Durban

This instructor-led, live training in Durban (online or onsite) is designed for senior management professionals who wish to comprehend what LLMs entail, explore their potential impact on business operations, and assess the practical application of AI tools such as ChatGPT, Microsoft Copilot, or Grok for real-world tasks including content creation, data summarisation, and decision support.

Upon completion of this training, participants will be able to:

• Comprehend the nature of LLMs and the functioning of tools such as ChatGPT and Copilot.
• Apply prompt engineering techniques to achieve practical and reliable outcomes from LLMs.
• Assess real-world use cases, such as drafting emails, summarising documents, and automating productivity tasks.
• Identify investment opportunities and strategic applications for adopting AI within their organisations.

This instructor-led, live training in Durban (available online or onsite) is tailored for senior management teams aiming to comprehend the strategic value of LLMs and enterprise AI tools. Participants will examine how to integrate these tools into high-level workflows, refine prompt drafting, and identify opportunities for improved productivity and ROI through AI adoption.

By the end of this training, participants will be able to:

• Understand how LLMs operate and how tools like ChatGPT and Copilot utilize them.
• Utilize prompt-based interactions to automate and accelerate tasks.
• Apply AI tools to real-world scenarios, such as email drafting, report summarization, and agreement review.
• Evaluate strategic benefits, limitations, and licensing considerations associated with LLM adoption.

This instructor-led, live training in Durban (delivered online or on-site) is designed for intermediate to advanced AI researchers, data scientists, and developers looking to understand, fine-tune, and implement Meta AI's Large Language Models for various NLP applications.

By the end of this training, participants will be able to:

• Understand the architecture and functioning of Meta AI's Large Language Models.
• Set up and fine-tune Meta AI LLMs for specific use cases.
• Implement LLM-based applications such as text summarization, chatbots, and sentiment analysis.
• Optimize and deploy large language models efficiently.

This instructor-led, live training in Durban (online or onsite) is designed for intermediate-level AI professionals, business analysts, and technology leaders eager to grasp the principles of Generative AI and its practical applications in business. Participants will explore transformers, prompt engineering, and the ethical implications of deploying these models in real-world scenarios.

Upon completion of this training, participants will be able to:

• Comprehend the foundational principles of Generative AI and Large Language Models.
• Implement and fine-tune LLMs for targeted business applications.
• Utilise prompt engineering techniques to achieve optimal model outputs.
• Identify ethical considerations and effectively manage risks associated with LLM deployment.

This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level AI professionals and ethicists, data scientists and engineers, and policy makers and stakeholders who wish to understand and navigate the ethical landscape of LLMs.

By the end of this training, participants will be able to:

• Identify ethical issues and challenges associated with LLMs.
• Apply ethical frameworks and principles to LLM deployment.
• Assess the societal impact of LLMs and mitigate potential risks.
• Develop strategies for responsible AI development and usage.

This instructor-led, live training in Durban (online or onsite) is designed for intermediate-level NLP practitioners, data scientists, content creators, translators, and global enterprises looking to leverage LLMs for language translation and multilingual content generation.

Upon completion of this training, participants will be able to:

• Grasp the principles of cross-lingual learning and translation using LLMs.
• Deploy LLMs to translate content between various languages.
• Construct and manage multilingual datasets for LLM training.
• Formulate strategies to ensure consistency and quality in translation.

This live, instructor-led training in Durban, offered both online and on-site, is tailored for intermediate-level financial analysts, data scientists, and investment professionals seeking to apply LLMs to financial market analysis and prediction.

By the conclusion of this training, participants will be able to:

• Understand the application of LLMs in financial market analysis.
• Utilize LLMs to process financial news, reports, and data to gain market insights.
• Develop predictive models for stock prices, market trends, and economic indicators.
• Integrate LLM-derived insights into investment decision-making processes.

This instructor-led, live training in Durban (online or onsite) is designed for intermediate-level environmental scientists, researchers, data analysts, and policy makers or environmental advocates who wish to leverage LLMs for environmental modelling and analysis.

Upon completion of this training, participants will be able to:

• Grasp the application of LLMs within environmental science.
• Employ LLMs to analyse and model environmental data.
• Interpret LLM outputs for environmental impact assessments.
• Communicate findings effectively to inform policy and conservation initiatives.

This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level VR and AR developers, game designers, and AI engineers who wish to incorporate LLMs into VR and AR applications to create more engaging and responsive environments.

By the end of this training, participants will be able to:

• Understand the role of LLMs in creating immersive VR and AR experiences.
• Develop VR and AR applications that utilize LLMs for interactive dialogues and content creation.
• Integrate LLMs with VR and AR development tools for enhanced user engagement.
• Apply best practices for designing AI-driven narratives and interactions in virtual spaces.

This instructor-led, live training in Durban (online or on-site) is tailored for intermediate-level data scientists, machine learning engineers, and software developers who wish to apply Large Language Models (LLMs) to multimodal data for advanced AI applications.

By the end of this training, participants will be able to:

• Understand the principles of multimodal learning with LLMs.
• Implement LLMs to process and analyse text, image, and audio data.
• Develop applications that leverage the strengths of multimodal data integration.
• Evaluate the performance of multimodal LLM systems.

This instructor-led, live training in Durban (available online or on-site) is geared towards intermediate-level cybersecurity professionals and data scientists who wish to utilise LLMs to enhance security measures and threat intelligence.

By the conclusion of this training, participants will be able to:

• Understand the role of LLMs in cybersecurity.
• Implement LLMs for threat detection and analysis.
• Utilize LLMs for security automation and response.
• Integrate LLMs with existing security infrastructure.

This instructor-led, live training in Durban (online or onsite) is designed for intermediate-level data scientists and business analysts who aim to leverage large language models (LLMs) to forecast trends and behaviours across various industries.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of LLMs and their function in predictive analytics.
• Deploy LLMs to analyse and forecast data across diverse sectors.
• Assess the effectiveness of predictive models utilising LLMs.
• Integrate LLMs into existing data processing pipelines.

This instructor-led, live training in Durban (online or onsite) is designed for intermediate-level data scientists who wish to develop a comprehensive understanding and practical skills in both Large Language Models (LLMs) and Reinforcement Learning (RL).

By the conclusion of this training, participants will be able to:

• Understand the components and functionality of transformer models.
• Optimise and fine-tune LLMs for specific tasks and applications.
• Understand the core principles and methodologies of reinforcement learning.
• Learn how reinforcement learning techniques can enhance the performance of LLMs.

This instructor-led, live training in Durban (online or onsite) targets intermediate-level content creators, marketers, and educational technologists who wish to leverage LLMs for producing high-quality, diverse, and engaging content across various sectors.

Upon completion of this training, participants will be able to:

• Grasp the capabilities of LLMs and their applications in content generation.
• Configure and utilise LLMs for generating diverse content types.
• Implement best practices for prompting and fine-tuning LLMs to achieve desired results.
• Assess the quality of AI-generated content and tailor it for specific audiences.
• Investigate advanced techniques for creative and multi-modal content generation using LLMs.

This instructor-led, live training in Durban (online or onsite) is aimed at educators, EdTech professionals, and researchers with varying levels of experience and expertise who wish to leverage LLMs for creating personalised educational experiences.

By the end of this training, participants will be able to:

• Understand the architecture and capabilities of LLMs.
• Identify opportunities for personalisation in educational content using LLMs.
• Design adaptive learning platforms that utilise LLMs for content personalisation.
• Implement LLM-driven strategies for enhancing student engagement and learning outcomes.
• Evaluate the effectiveness of LLMs in educational settings and make data-driven decisions for

This instructor-led live training in Durban (online or onsite) is aimed at intermediate-level ML practitioners and AI developers who wish to fine-tune and deploy open-weight models such as LLaMA, Mistral, and Qwen for specific business or internal applications.

By the end of this training, participants will be able to:

• Understand the ecosystem and differences between open-source LLMs.
• Prepare datasets and fine-tuning configurations for models like LLaMA, Mistral, and Qwen.
• Execute fine-tuning pipelines using Hugging Face Transformers and PEFT.
• Evaluate, save, and deploy fine-tuned models in secure environments.

This instructor-led, live training in Durban (online or onsite) is tailored for beginner to intermediate-level software developers and data scientists seeking to implement LLMs within speech recognition and synthesis systems.

By the conclusion of this training, participants will be able to:

• Understand the role of LLMs in speech technologies.
• Implement LLMs for accurate speech recognition and natural-sounding speech synthesis.
• Integrate LLMs with speech recognition engines and speech synthesizers.
• Evaluate and improve the performance of speech systems using LLMs.
• Stay informed about current trends and future directions in speech technologies.

This instructor-led, live training in Durban (online or onsite) is tailored for beginner to intermediate-level customer support and IT professionals who wish to implement LLMs to create responsive and intelligent customer support chatbots.

By the end of this training, participants will be able to:

• Understand the fundamentals and architecture of Large Language Models (LLMs).
• Design and integrate LLMs into customer support systems.
• Enhance the responsiveness and user experience of chatbots.
• Address ethical considerations and ensure compliance with industry standards.
• Deploy and maintain an LLM-based chatbot for real-world applications.

This live, instructor-led training in Durban (delivered online or on-site) targets intermediate data scientists and AI engineers who aim to fine-tune large language models with improved cost-effectiveness and efficiency, employing methods such as LoRA, Adapter Tuning, and Prefix Tuning.

Upon completion, participants will be able to:

• Comprehend the theory supporting parameter-efficient fine-tuning techniques.
• Implement LoRA, Adapter Tuning, and Prefix Tuning using Hugging Face PEFT.
• Evaluate the trade-offs between performance and cost when comparing PEFT methods against full fine-tuning.
• Deploy and scale fine-tuned LLMs while significantly reducing compute and storage overheads.

This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level to advanced-level machine learning engineers, AI developers, and data scientists who wish to learn how to use QLoRA to efficiently fine-tune large models for specific tasks and customisations.

By the end of this training, participants will be able to:

• Understand the theory behind QLoRA and quantisation techniques for LLMs.
• Implement QLoRA in fine-tuning large language models for domain-specific applications.
• Optimise fine-tuning performance on limited computational resources using quantisation.
• Deploy and evaluate fine-tuned models in real-world applications efficiently.

This instructor-led, live training in Durban (online or onsite) targets intermediate-level data and marketing professionals who wish to apply LLMs to analyse and interpret public sentiment from various text sources such as social media posts, product reviews, and customer feedback.

By the conclusion of this training, participants will be able to:

• Understand the principles of sentiment analysis and its application using LLMs.
• Preprocess and prepare datasets for sentiment analysis.
• Train and fine-tune LLMs to accurately reflect sentiment in text.
• Analyse sentiment in real-time from social media and other text sources.
• Integrate sentiment analysis findings into business strategies and decision-making processes.

This instructor-led, live training in Durban (online or onsite) is designed for intermediate-level software developers and technical writers who want to harness LLMs to streamline their coding workflow and produce detailed, comprehensive documentation.

By the conclusion of this training, participants will be able to:

• Grasp the role of LLMs in automating code generation and software documentation.
• Use LLMs to create accurate and efficient code snippets and documentation.
• Integrate LLMs into their software development lifecycle to boost productivity.
• Uphold high-quality documentation standards through automated tools.
• Navigate the ethical considerations and best practices associated with using AI in software development.

This instructor-led, live training in Durban (online or onsite) targets intermediate-level business professionals and data analysts who wish to harness the power of LLMs for extracting business insights.

By the end of this training, participants will be able to:

• Understand the fundamentals and applications of LLMs in the context of business intelligence.
• Apply LLMs to analyze large datasets and extract meaningful insights.
• Integrate LLM-driven analytics into strategic business decision-making processes.
• Evaluate the ethical considerations and best practices for using LLMs in business.
• Anticipate future trends in AI and prepare for the evolving landscape of business intelligence.

This instructor-led live training in Durban (online or on-site) is designed for intermediate to advanced developers and data scientists who wish to master LlamaIndex for developing innovative LLM-powered applications.

By the end of this training, participants will be able to:

• Set up and configure LlamaIndex for use with LLMs.
• Index and query custom datasets using LlamaIndex to enhance LLM functionality.
• Design and develop sophisticated applications that utilize LlamaIndex and LLMs.
• Understand and apply best practices for working with LLMs and LlamaIndex.
• Navigate the ethical considerations involved in deploying LLM-powered applications.

This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level AI researchers, machine learning professionals, and data scientists who wish to use LlamaIndex to enhance the capabilities of AI models, making them more accurate and reliable for various applications.

By the end of this training, participants will be able to:

• Understand the principles and components of LlamaIndex.
• Ingest and structure data for use with LLMs.
• Implement context augmentation to improve AI model performance.
• Integrate LlamaIndex into existing AI systems and workflows.

This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level professionals who wish to leverage the power of prompt engineering and few-shot learning to optimise LLM performance for real-world applications.

By the end of this training, participants will be able to:

• Understand the principles of prompt engineering and few-shot learning.
• Design effective prompts for various NLP tasks.
• Leverage few-shot techniques to adapt LLMs with minimal data.
• Optimise LLM performance for practical applications.

This instructor-led, live training (available online or onsite) is designed for advanced engineers, AI specialists, and localization leads aiming to implement large language model (LLM) systems for automated translation, quality evaluation, and enterprise governance.

By the end of this training, participants will be able to:

• Build enterprise-grade LLM localization pipelines that integrate open and proprietary models.
• Implement automated QA workflows and quality metrics to maintain translation consistency.
• Establish governance and approval frameworks for multilingual content production.
• Deploy scalable, auditable LLM-based localization systems in secure environments.

This instructor-led, live training in Durban prepares data engineers to integrate LLMs into SQL environments. Participants will construct natural language pipelines, apply AI-driven optimisation, and design secure enterprise workflows for automated data analysis.

This live training in Durban empowers practitioners to design, construct, and optimise multimodal LLM workflows in Vertex AI. It explores Gemini models, long-context reasoning, and pipelines that integrate text, audio, and image data. Through hands-on labs, it ensures practical readiness for real-world application.

This live, instructor-led training (available online or on-site) is designed for intermediate-level AI developers and localization engineers aiming to create scalable, automated translation pipelines using both proprietary and open-source LLMs.

By the end of the course, participants will be capable of:

• Designing and deploying translation workflows using modern LLM frameworks and APIs.
• Integrating open-source and commercial models into scalable translation systems.
• Optimizing translation quality through fine-tuning, prompt engineering, and automation.
• Implementing cost-efficient and compliant translation infrastructure for enterprise environments.

This live, instructor-led training in Durban (available online or on-site) is designed for intermediate-level developers keen on learning how to utilise generative AI with LLMs for a variety of tasks and domains.

By the conclusion of this training, participants will be able to:

• Explain what generative AI is and how it works.
• Describe the transformer architecture that powers LLMs.
• Use empirical scaling laws to optimise LLMs for different tasks and constraints.
• Apply state-of-the-art tools and methods to train, fine-tune, and deploy LLMs.
• Discuss the opportunities and risks of generative AI for society and business.

Gain mastery over AI integration in Postgres with this live, instructor-led training in Durban. Learn to configure extensions, implement pgvector embeddings, and connect LLMs for real-time insights. Optimise queries and build intelligent systems through hands-on practice in a live-lab environment.

This instructor-led, live training in Durban (online or onsite) is designed for intermediate to advanced AI developers, architects, and product managers who aim to identify and mitigate risks linked to LLM-powered applications. These risks include prompt injection, data leakage, and unfiltered outputs, while incorporating security controls such as input validation, human-in-the-loop oversight, and output guardrails.

Upon completion of this training, participants will be able to:

• Grasp the core vulnerabilities inherent in LLM-based systems.
• Apply secure design principles to LLM application architecture.
• Utilise tools like Guardrails AI and LangChain for validation, filtering, and ensuring safety.
• Integrate techniques such as sandboxing, red teaming, and human-in-the-loop review into production-grade pipelines.

This instructor-led, live training in Durban (online or onsite) is designed for intermediate to advanced professionals who wish to tailor pre-trained models for specific tasks and datasets.

By the end of this training, participants will be able to:

• Grasp the principles of customisation and its applications.
• Prepare datasets for customising pre-trained models.
• Customise large language models (LLMs) for NLP tasks.
• Optimise model performance and address common challenges.

This instructor-led, live training in Durban (online or onsite) is designed for intermediate-level data scientists, AI developers, and AI enthusiasts who wish to use LLMs to perform various NLP tasks and create novel and diverse content for different purposes.

Upon completing this training, participants will be able to:

• Set up a development environment equipped with LLMs and necessary tools.
• Proficiently execute NLU and NLI tasks using LLMs.
• Effectively extract, infer, and apply knowledge graphs.
• Generate and manage dialogues using LLMs for conversational applications.
• Evaluate the quality and diversity of content produced by LLMs and generative AI.
• Apply ethical principles to ensure fairness and responsible utilisation of LLMs.

This instructor-led live training in Durban (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to use Large Language Models for various natural language tasks.

By the end of this training, participants will be able to:

• Set up a development environment that includes a popular LLM.
• Create a basic LLM and fine-tune it on a custom dataset.
• Use LLMs for different natural language tasks such as text summarization, question answering, text generation, and more.
• Debug and evaluate LLMs using tools such as TensorBoard, PyTorch Lightning, and Hugging Face Datasets.

This instructor-led, live training in Durban (online or onsite) is aimed at observability and SRE engineers who want to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.

This instructor-led, live training in Durban (online or on-site) is aimed at IT support professionals who wish to use AI tools and automation platforms to streamline support processes, standardise responses, and reduce manual documentation effort.

This instructor-led, live training in Durban (online or onsite) targets intermediate-level engineers and architects who wish to use Tencent Hunyuan to deploy large and MoE models with lower latency, stronger throughput, and better cost control.

By the end of this training, participants will be able to: explain Hunyuan production deployment patterns, optimize inference performance, implement batching and quantization strategies, and plan scalable serving operations.

This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level developers, technical product teams, and AI practitioners who wish to use Hunyuan models to create multimodal applications for image, 3D, and video generation and delivery.

By the end of this training, participants will be able to: build prompt-based workflows, generate and review multimodal assets, serve outputs through apps or APIs, and connect Hunyuan capabilities to enterprise product stacks.

Course objectives turn software and AI engineers into legal engineers — professionals who can actually build AI for legal work (eDiscovery, review, investigations).

In two days, participants build the full core stack: ingesting and extracting messy real-world legal data, searching and retrieving it, adding retrieval-augmented generation (RAG) with citations, maintaining privacy on a local model and proving it, running a defensible AI review with court-ready metrics, and packaging the result for deployment.

This instructor-led live training in Durban (available online or on-site) is designed for beginner, intermediate, and advanced-level AI professionals who wish to utilise MCP to connect AI assistants with external tools, data sources, and enterprise services.

By the end of this session, participants will be able to: elucidate MCP concepts, identify key architectural components, establish a basic integration, and apply security best practices.

This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level enterprise architects who wish to use Model Context Protocol to design secure, scalable, and governable agent integration platforms for enterprise environments.

By the end of this training, participants will be able to: explain MCP architecture and enterprise patterns, design secure integration platforms, apply governance and access controls, and evaluate deployment and scaling options.

This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level developers, architects, and platform engineers who wish to use MCP to build reliable servers and clients for enterprise deployment and operations.

By the end of this training, participants will be able to explain MCP architecture in practice, build production-ready integrations, deploy and observe MCP services, and apply versioning, resilience, and support patterns.

This instructor-led live training in Durban (online or onsite) is aimed at intermediate-level IT leaders, compliance professionals, security teams, and enterprise architects who wish to use sovereign AI principles and governance practices to design AI environments that protect sensitive data, support localization requirements, and reduce vendor lock-in.

By the end of this training, participants will be able to: explain sovereign AI concepts, evaluate hosting and governance options, define controls for prompts and logs, and create a practical adoption roadmap.