Delivered either online or on-site, these instructor-led live Generative AI (GenAI) training courses focus on the fundamentals and advanced concepts of the technology, reinforced through interactive, hands-on exercises.
Generative AI training is offered as either "online live training" or "on-site live training". Online live training (also known as "remote live training") is conducted via an interactive remote desktop. On-site live training can be held locally at your client premises in Durban or at NobleProg's corporate training centers in Durban.
NobleProg -- Your Local Training Provider
Garden Court South Beach
Durban, South Africa
Way to get there
From Durban city centre: follow the beachfront/Marine Parade south toward South Beach.
By car/taxi: give the driver the address 73 O.R. Tambo Parade, South Beach, Durban 4001.
From King Shaka International Airport: the hotel is roughly 30 km ;from the airport.
This instructor-led training in Durban delves into generative and agentic AI, guiding you to construct and assess autonomous systems. Master prompt engineering, integrate essential tools, and deploy responsible, goal-driven agents to enhance real-world productivity and intelligent automation.
This instructor-led, live training session in Durban (online or onsite) targets intermediate-level tourism professionals eager to harness Generative AI to elevate client engagement, simplify content production, and enrich the overall journey for travellers.
Upon completing this training, participants will be equipped to:
Grasp the role of Generative AI within tourism and the hospitality sector.
Employ AI tools to craft bespoke travel suggestions.
Automate customer communications using AI-powered chatbots.
Improve marketing tactics with AI-generated materials.
This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level developers who wish to build AI-powered applications using predictive analytics and generative models.
By the end of this training, participants will be able to:
Understand the fundamentals of predictive AI and generative models.
Utilize AI-powered tools for predictive coding, forecasting, and automation.
Implement LLMs (Large Language Models) and transformers for text and code generation.
Apply time-series forecasting and AI-based recommendations.
Develop and fine-tune AI models for real-world applications.
Evaluate ethical considerations and best practices in AI deployment.
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 designed for intermediate-level manufacturing engineers, process improvement specialists, and AI developers who wish to leverage Generative AI to enhance manufacturing processes and outcomes.
By the end of this course, participants will be able to:
Grasp the fundamentals of Generative AI and its specific applications within manufacturing.
Utilize Generative AI for design optimization and predictive maintenance strategies.
Analyse and interpret AI-generated data to facilitate informed decision-making.
Deploy AI solutions to boost production efficiency and product quality.
This instructor-led live training in Durban (offered online or onsite) caters to AI developers and enthusiasts from beginner to intermediate levels who aim to leverage the power of generative AI using Azure OpenAI.
By the end of the session, participants will be capable of:
Comprehending the fundamentals of AI, Generative AI, and the OpenAI API.
Establishing and utilizing the Azure OpenAI account and studio.
Managing and deploying Azure OpenAI services proficiently.
Embedding generative AI models into diverse applications.
This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level Java developers, software engineers, and cloud enthusiasts who wish to harness the power of Azure OpenAI to create intelligent applications.
By the end of this training, participants will be able to:
Understand the principles of Generative AI and its applications.
Set up and manage an Azure OpenAI service.
Integrate OpenAI's models into Java applications.
Deploy AI-powered features within web applications.
This instructor-led, live training in Durban (online or onsite) is designed for intermediate-level content creators, marketing professionals, and business strategists who wish to master generative AI tools for automating content creation across various mediums.
Upon completion of this training, participants will be able to:
Grasp the fundamentals of generative AI and its applications in content creation.
Utilize generative AI tools to automate the creation of text, images, audio, and video.
Apply prompt engineering techniques to achieve optimal content generation results.
Keep abreast of the latest trends and advancements in generative AI.
This instructor-led, live training in Durban (online or onsite) targets intermediate-level game developers, designers, and AI enthusiasts eager to utilise generative AI to develop innovative gaming environments and characters.
By the conclusion of this training, participants will be able to:
Grasp the fundamental concepts of generative AI and its application within gaming.
Apply procedural content generation techniques to build expansive game worlds.
Design and develop AI-driven characters and narratives.
Assess the ethical implications of using AI in gaming.
This instructor-led, live training in Durban (online or onsite) is aimed at retail managers, e-commerce professionals, and AI specialists at all levels of expertise who wish to leverage generative AI to drive innovation and efficiency in retail operations.
By the end of this training, participants will be able to:
Understand the role of generative AI in retail and its potential benefits.
Implement generative AI tools for enhancing customer experience.
Utilize generative AI for optimizing inventory management.
Apply generative AI techniques for accurate sales forecasting.
Integrate generative AI solutions into retail operations effectively.
This instructor-led, live training in Durban (online or onsite) is designed for finance professionals, fintech developers, and AI specialists at all experience levels who wish to harness generative AI to revolutionize financial services.
Upon completion of this training, participants will be able to:
Grasp the fundamentals of generative AI and its applications in financial services.
Deploy generative AI tools and platforms for risk assessment, fraud detection, and customer engagement.
Craft customized solutions using generative AI tailored for financial services.
Integrate generative AI solutions into existing financial systems and processes.
Analyze and optimize generative AI models to enhance performance.
This instructor-led, live training in Durban (online or onsite) is designed for marketing professionals, digital strategists, and tech enthusiasts at all levels who wish to harness the power of generative AI to create personalised marketing campaigns.
By the end of this training, participants will be able to:
Understand the fundamentals of generative AI and its applications in marketing.
Utilise generative AI tools and platforms for campaign creation.
Develop personalised marketing content using AI models.
Integrate AI-generated content into broader marketing strategies.
Analyse and optimise AI-driven marketing campaigns for better performance.
This instructor-led, live training in Durban (available online or onsite) targets intermediate developers, data scientists, and tech enthusiasts eager to gain practical experience in building and deploying custom chatbots using AI platforms.
By the end of this training, participants will be able to:
Grasp the fundamentals of chatbot development.
Explore various AI platforms suitable for chatbot creation.
Design and implement bespoke chatbot solutions.
Deploy chatbots across multiple channels and platforms.
Analyze chatbot performance and user interaction metrics.
Integrate chatbots seamlessly with existing systems and databases.
This instructor-led, live training in Durban (online or onsite) is designed for advanced developers, AI specialists, and technology professionals who wish to explore advanced techniques for customising AI chatbots to meet specific requirements.
By the end of this training, participants will be able to:
Develop advanced chatbot functionalities using custom code.
Integrate chatbots with complex external APIs and services.
Implement advanced natural language processing (NLP) techniques.
Optimise chatbot performance and user interactions.
Ensure security and privacy in chatbot applications.
Deploy and scale chatbots for high-demand environments.
This instructor-led live training in Durban (online or onsite) targets beginner-level participants, such as business professionals and tech enthusiasts, who wish to learn how to create and customise chatbots using user-friendly AI tools.
By the end of this training, participants will be able to:
Understand the basics of chatbot technology.
Navigate and utilize tools like Dialogflow and Microsoft Azure Bot Service.
Design and customize chatbot conversations.
Integrate chatbots with various platforms and services.
This instructor-led live training in Durban (online or onsite) targets participants with varying levels of expertise who wish to utilise Google's AutoML platform to construct tailored chatbots for diverse applications.
By the conclusion of this training, participants will be able to:
Grasp the fundamentals of chatbot development.
Navigate the Google Cloud Platform and access AutoML.
Prepare data for training chatbot models.
Train and evaluate custom chatbot models using AutoML.
Deploy and integrate chatbots into various platforms and channels.
Monitor and optimise chatbot performance over time.
This instructor-led, live training in Durban (online or onsite) is designed for advanced AI researchers, creative professionals, and experienced developers who wish to explore generative AI techniques, implement AI-driven creative workflows, and build applications leveraging DeepSeek models.
Upon completion of this training, participants will be able to:
Comprehend the generative AI capabilities inherent in DeepSeek models.
Create text, images, and creative content using AI.
Refine AI-generated outputs to suit various creative applications.
Develop AI-powered tools for storytelling, design, and media production.
This instructor-led live training in Durban (offered online or onsite) is tailored for game developers, artists, musicians, and entertainment professionals with beginner to intermediate skills who aim to use generative AI to foster innovation in the entertainment sphere.
By the end of this training, participants will be able to:
Comprehend the basics of generative AI and its contribution to creative processes.
Examine the application of AI in producing music, literature, and visual art.
Evaluate the effects of AI on video game development and player engagement.
Discuss the ethical dimensions of using AI in the creation of art.
Design and build AI-powered projects within the entertainment sector.
This instructor-led, live training in Durban (online or onsite) is aimed at beginner-level to intermediate-level healthcare professionals, data analysts, and policy makers who wish to understand and apply generative AI in the context of healthcare.
By the end of this training, participants will be able to:
Explain the principles and applications of generative AI in healthcare.
Identify opportunities for generative AI to enhance drug discovery and personalized medicine.
Utilize generative AI techniques for medical imaging and diagnostics.
Assess the ethical implications of AI in medical settings.
Develop strategies for integrating AI technologies into healthcare systems.
This instructor-led, live training in Durban (online or onsite) is designed for intermediate to advanced robotics engineers and AI researchers keen on designing and implementing autonomous robotic systems using Generative AI techniques.
Upon completing this training, participants will be able to:
Grasp the fundamental concepts of Generative AI as applied to robotics.
Design and simulate autonomous robots employing Generative AI models.
Deploy AI algorithms for robotic perception and decision-making.
Assess the impact of AI-driven robots across various industries.
Tackle the ethical considerations associated with deploying autonomous robotic systems.
This instructor-led, live training in Durban (online or onsite) is aimed at intermediate-level educators and edtech professionals who wish to leverage Generative AI to personalise education and enhance learning experiences.
By the end of this training, participants will be able to:
Understand the principles and applications of Generative AI in the context of education.
Create personalised learning materials and pathways using AI.
Utilise AI tools for classroom management and content creation.
Address ethical considerations in the use of AI for education.
Develop strategies for integrating AI into educational curricula and administrative processes.
This instructor-led, live training in Durban (online or onsite) is tailored for intermediate-level data professionals who wish to generate synthetic datasets for AI model training, especially when real data is scarce or sensitive.
By the conclusion of this training, participants will be able to:
Understand the role and creation of synthetic data in Generative AI.
Implement Generative AI models to produce high-quality synthetic data.
Assess the quality and utility of synthetic datasets.
Navigate the ethical and legal considerations in using synthetic data.
Apply synthetic data strategies to real-world AI challenges.
This instructor-led, live training session, available in Durban (online or onsite), targets beginner to intermediate software developers who wish to integrate generative AI into their Software Development Life Cycle (SDLC).
By the end of this training, participants will be able to:
Understand the role and capabilities of generative AI in software development.
Utilise AI tools for coding, debugging, and code reviews.
Apply AI techniques for efficient root cause analysis.
Implement AI features to enhance the software development process.
Evaluate ethical considerations and best practices for AI in development.
This instructor-led live training in Durban (online or on-site) is designed for intermediate to advanced cyber security professionals, IT managers, and policy makers who wish to understand the profound impact Generative AI is having on cyber security.
By the end of this training, participants will be able to:
Comprehend the capabilities and applications of Generative AI in cyber security.
Recognise and anticipate AI-powered cyber threats and attacks.
Explore the use of Generative AI in strengthening cyber defence mechanisms.
Assess the ethical and legal considerations of employing Generative AI in cyber security.
Formulate strategies to integrate Generative AI into their cyber security practices.
This instructor-led, live training in Durban (online or onsite) is aimed at intermediate to advanced-level managers who wish to understand and leverage Generative AI in their business strategies.
By the end of this training, participants will be able to:
Grasp the fundamental concepts and capabilities of Generative AI.
Identify opportunities for applying Generative AI within their organisations.
Understand the ethical and legal considerations of using Generative AI.
Lead discussions and make informed decisions about AI projects.
Develop a roadmap for integrating Generative AI into their business processes.
This 14-hour live training in Durban empowers front-end professionals to leverage generative AI for accelerated development. Participants will master prompt-based code generation, UI prototyping, and optimization techniques. Through hands-on labs, learners will gain the practical skills necessary to build and iterate modern user interfaces efficiently.
This instructor-led, live training in Durban (online or onsite) is designed for intermediate to advanced data scientists, machine learning engineers, and AI professionals seeking to explore complex generative models and their applications across various industries.
By the end of this training, participants will be able to:
Implement and train advanced generative models, including GANs, VAEs, and diffusion models.
Understand and apply the Transformer architecture in generative tasks.
Explore the ethical implications and challenges of Generative AI.
Apply advanced generative techniques to solve real-world problems in various industries.
Stay abreast of current research trends and future directions in Generative AI.
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.
This live, instructor-led training session in Durban (online or on-site) is tailored for beginner-level developers seeking to establish a strong theoretical base and gain hands-on experience in Generative AI.
Upon completion of this course, learners will be capable of:
Grasping the core principles of generative models and their practical uses.
Building foundational generative models using TensorFlow or PyTorch.
Creating new content through Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs).
Investigating the ethical dimensions associated with generative AI.
Applying generative AI techniques to real-world problems.
This live, instructor-led training in Durban, offered online or on-site, targets beginner-level designers, artists, and content creators aiming to leverage Adobe Firefly to enhance their creative output and efficiency.
By the conclusion of this training, participants will be able to:
Set up a development environment that includes Adobe Firefly and Adobe Creative Cloud.
Create images, text effects, and colour palettes from text prompts using Adobe Firefly.
Utilise Adobe Firefly within Adobe applications like Photoshop, Illustrator, and Express.
Generate content that is safe for commercial use and respects the rights of content creators.
Apply ethical and responsible principles when using generative AI.
This instructor-led live training in Durban (online or onsite) is designed for beginner to intermediate-level data scientists, AI developers, and AI enthusiasts who wish to utilise generative AI to create unique and varied content for a variety of purposes.
By the conclusion of this training, participants will be able to:
Set up a development environment that includes generative AI models and tools.
Create images, text, audio, and other content from text prompts using generative AI.
Use generative AI in different domains such as art, design, entertainment, and education.
Evaluate the quality and diversity of the content generated by generative AI.
Understand the ethical and social implications of generative AI.
This five-day course in Durban empowers finance professionals with skills in advanced analytics, AI-assisted Python, and agentic AI. Participants will learn to construct intelligent dashboards, optimise GL operations, and design autonomous workflows for financial analysis, reporting, and strategic decision-making support.
Our corporate AI hackathon empowers cross-functional teams from various departments and IT to apply AI to their specific operational challenges, resulting in tangible, workable solutions. This structured programme integrates two preliminary discovery sessions for tool onboarding, a focused 24-hour sprint, and a final presentation to senior leadership. Participants conclude the event with a functional prototype and a concrete plan for implementation in the week following the event.
This live, instructor-led training in Durban is specifically designed for mixed teams from business units and IT who wish to leverage AI to address their own challenges and leave with actionable solutions.
Upon completion of this training, participants will be equipped to:
Translate departmental problems and bottlenecks into actionable, solvable challenges
Gain familiarity with eight to ten key AI tools and identify the most appropriate one for specific tasks
Collaborate in small teams to develop a working solution
Assess solutions based on their potential benefits and feasibility
Effectively present results through a professional pitch
Develop a strategic plan for implementation in the subsequent week
Course Structure
Duration: 2 days onsite (incorporating a 24-hour sprint) supported by two preliminary discovery sessions
Interactive learning facilitated by a trainer, featuring discussions and hands-on exercises focused on participants’ specific use cases
Prior Outcomes: Challenges, tool selection, and success criteria are established.
Day 1 Outcomes: Each team refines their challenge and develops an initial working prototype.
Day 2 Outcomes: Each team finalizes a working solution, delivers a pitch, and formulates an implementation plan for the following week.
Customisation Options
To request a tailored training experience for this course, please contact us to arrange specific requirements.
This instructor-led, live training in Durban (online or onsite) is aimed at beginner-level, intermediate-level, or advanced-level Primary and High School teachers who wish to use AI tools to save time, improve lesson planning, and create engaging learning activities.
By the end of this training, participants will be able to: explain AI in simple terms, use AI tools for everyday teaching tasks, check and improve AI outputs, and apply responsible classroom guidelines.
This practical workshop is specifically designed around the workflow of a single team and leverages the AI tool already approved by the company. It covers prompting strategies, persistent configurations like projects and assistants, file handling, and safe usage practices. Participants will conclude the session with a shared library of prompts and solutions to tasks drawn from their own daily operations.
This instructor-led, live training in Durban is suited for teams in case management, specialised departments, research, or IT support who have initial experience with AI and are seeking to enhance the quality of their task outputs.
Upon completion of this training, participants will be able to:
Comprehend the internal processes of the model during prompting and understand why models may generate fabricated details
Craft instructions that define role, task, context, examples, format, and constraints
Deconstruct complex tasks and refine outcomes in a targeted manner
Leverage instructions, memory, projects, and custom assistants for sustained, long-term use
Process files, scans, tables, and research assignments effectively
Validate results, recalculate figures, and ensure data protection
Establish and reuse secure templates for the group
Course Structure
Duration: One full day (7 hours) or two 4-hour sessions per group, delivered online or on-site, accommodating up to 15 participants
Interactive learning with a trainer, including discussions and hands-on exercises focused on the participants' specific use cases
Block 1 Outcome: Each participant will possess at least one verified template applicable to their own work
Block 2 Outcome: Each group will have a shared prompt collection, a collaborative project, and two resolved tasks from real daily operations
Course Customisation Options
To request a tailored training experience for this course, please contact us to make arrangements.
This instructor-led live training in Durban (online or onsite) is targeted at developers, architects, and technical professionals who intend to use Alibaba Cloud to create, test, and deploy generative AI applications for business purposes.
By the conclusion of this training, participants will be able to: comprehend Alibaba Cloud's generative AI services, build prompts and workflows using Qwen models, develop a simple retrieval-based AI solution, and deploy AI applications with due regard for security and cost management.
Browser agents have the capability to browse web pages, evaluate vendors and complete forms autonomously on a user’s behalf. This one-day course examines ChatGPT Agent and Atlas, Claude in Chrome and Perplexity Comet, focusing on appropriate use cases and potential risks, including the threat of hidden instructions embedded within web content. During the session, participants will delegate two distinct tasks, validate the outcomes and establish internal guidelines for team adoption.
This instructor-led, live training in Durban is designed for: Specialist users, assistants and researchers seeking to offload repetitive web page and web application tasks to AI agents.
Upon completion of this training, participants will be able to:
Comprehend the mechanics of how browser agents parse pages, interact via clicks and populate forms
Distinguish between ChatGPT Agent and Atlas, Claude in Chrome and Perplexity Comet
Identify suitable applications such as research, vendor comparisons and form processing
Craft instructions that clearly define goals, boundaries and required approval checkpoints
Identify and mitigate risks, particularly those arising from hidden instructions on web pages
Establish standard operating procedures for team-wide use
Course Format
Duration: 1 day (7 hours)
Interactive sessions led by a trainer, featuring discussions and hands-on exercises tailored to participants' specific use cases
Outcome, Day 1: Each participant will have successfully delegated two tasks to a browser agent, verified the results and drafted team usage rules.
Customisation Options
For those wishing to tailor this training to their specific needs, please contact us to discuss arrangements.
ChatGPT extends beyond simple chat interactions to include projects, custom GPTs, deep research, connectors, and an agent mode. This two-day programme transitions from daily operational use to managing shared projects, custom GPTs, and complex multi-step tasks, establishing clear guidelines for team adoption. Throughout the session, participants engage with their own anonymized materials to ensure practical relevance.
This live, instructor-led training in Durban is designed for employees and teams utilizing ChatGPT Plus, Business, or Enterprise who aim to advance from single-user chats to collaborative projects, custom GPTs, and agentic workflows.
Upon completing this training, participants will be equipped to:
Distinguish between various models, subscription plans, and data protection configurations in ChatGPT
Consistently improve output quality by leveraging custom instructions, memory features, and structured projects
Process files, tables, and datasets, with a focus on verifying and cross-checking analytical results
Refine text within Canvas and generate visuals suitable for professional presentations
Develop a custom GPT without coding and distribute it across the workspace
Leverage deep research, connectors, and the ChatGPT agent to execute multi-step operations
Establish boundaries, approval gates, and usage policies for team collaboration
Course Format
Duration: 2 days (7 hours per day)
Interactive sessions featuring expert instruction, facilitated discussions, and hands-on exercises tailored to participants' specific use cases
Day 1 Deliverables: Each participant will have established personal standing instructions, completed a verified data analysis, and refined a text from their daily workflow.
Day 2 Deliverables: Each participant will possess a structured project, a shared custom GPT, and a validated research output. The team will understand the capabilities of agents, connectors, and internal usage rules.
Customization Options
Contact us to discuss arranging a customized training version of this course.
Claude extends well beyond a simple chat interface; it integrates projects, artifacts, skills, connectors, and Cowork to manage recurring operational tasks across administration, finance, procurement, and HR. This two-day course outlines how these components interconnect and guides you through setting them up for specific business scenarios. By the end of the session, participants will have established a functional project, developed a custom skill, and configured a routine ready for immediate application in the following week.
This live, instructor-led training in Durban is designed for: Employees in administration, finance, procurement, HR, project, and process management who are currently using or implementing Claude within their organization and aim to leverage its capabilities beyond basic conversational use.
Upon completion of this training, participants will be equipped to:
Distinguish between Claude’s various models and interfaces, selecting the most appropriate one for specific tasks
Configure projects with tailored instructions and knowledge files to ensure continuity and avoid starting from scratch in every interaction
Leverage artifacts to generate reports, tables, overviews, and lightweight interactive tools
Develop, test, and distribute a custom skill tailored to recurring processes
Integrate connectors for email, calendar, and file storage while implementing deliberate access controls
Delegate tasks to Claude Cowork and automated routines, followed by a thorough review of the outcomes
Establish team-level guidelines for data protection, review workflows, and the use of shared templates
Course Format
Duration: Two days (seven hours per day)
Interactive sessions led by a trainer, incorporating discussion and hands-on exercises focused on participants’ actual use cases
Day 1 Outcome: Participants will have a configured project for their specific use case, two refined templates, and an initial artifact created from real-world data.
Day 2 Outcome: Participants will depart with a functional skill, a connected service integration, a configured routine, and a strategy for the next 30 days.
Customization Options
To explore customized training options for this course, please contact us to discuss arrangements.
Skills transform routine tasks into repeatable procedures that Claude executes consistently each time. This course guides you through identifying suitable tasks, drafting skills, verifying their performance, and distributing them across your team. Every participant will develop and test a skill tailored to a genuine business process.
Delivered live by an instructor in Durban, this training is designed for: Specialist users and power users seeking to manage recurring workflows with uniform quality and consistency using Claude.
Upon completing this training, participants will be equipped to:
Distinguish between skills, projects, instructions, and agents
Identify which tasks benefit most from being converted into skills
Develop comprehensive skills, including descriptions, workflows, examples, and templates
Validate skills against real-world scenarios and refine them
Manage the distribution, versioning, and upkeep of skills within the team
Integrate skills with connectors and Cowork
Course Structure
Duration: One day (7 hours)
Interactive sessions featuring expert instruction, group discussions, and hands-on exercises based on participants' specific use cases
Day 1 Deliverable: Each participant will have a validated skill for a real, recurring task ready for team distribution, along with a list of additional potential candidates.
Customisation Options
For bespoke training tailored to this curriculum, please contact us to make arrangements.
Administrative, accounting, legal, procurement, warehouse, and customer service teams can significantly reduce time spent on routine tasks by configuring Claude for their specific documents and workflows. This modular program pairs a shared foundational session with department-specific days focused on real-world documentation. By the end, each team will have at least one optimized workflow ready for immediate implementation.
This live, instructor-led training in Durban is designed for teams in mid-sized organizations across administration, finance, legal, procurement, warehousing, and customer support, accommodating both novice and advanced users.
Upon completion, participants will be equipped to:
Leverage Claude for specialized departmental tasks beyond basic chatbot interactions
Develop department-specific projects and knowledge bases
Analyze, compare, and extract data from contracts, invoices, and receipts using Claude
Accelerate the preparation of inquiries, quotes, and multilingual customer communications while maintaining quality consistency
Integrate Claude with Outlook and file storage systems to automate recurring processes
Establish at least one efficient workflow per department for immediate use
Course Structure
Duration: 3 days, modular format (one shared foundation day followed by two department-specific days)
Interactive sessions featuring a trainer, group discussions, and hands-on exercises tailored to participants' use cases
Day 1 Outcome: All participants gain confidence in using Claude, and each team establishes a department project populated with actual documents
Day 2 Outcome: Administration and finance teams each define one workflow accelerated by Claude, supported by a tested skill
Day 3 Outcome: Each department finalizes at least one concrete workflow for immediate implementation and identifies next steps for further automation
Customization Options
Contact us to discuss customizing this training for your specific needs
This instructor-led live training in Durban (online or onsite) is targeted at digital artists, designers, and creative professionals who wish to use ComfyUI to generate images, video, 3D assets, and audio through node-based AI workflows without writing code.
This instructor-led, live training is aimed at beginner-level business professionals and leaders who wish to prepare for the Google Cloud Generative AI Leader certification.
By the end of this training, participants will be able to:
Explain generative AI fundamentals and Google's foundation models.
Describe Google Cloud's gen AI offerings and agent tooling.
Apply prompt engineering, grounding, and RAG to improve output.
Understand secure and responsible AI for business adoption.
This instructor-led, live training in Durban (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level developers, cloud engineers, and technical product teams who wish to use Google Cloud generative AI tools to build and evaluate practical AI applications.
By the end of this training, participants will be able to understand Google Cloud generative AI services, create prompts and workflows, build simple applications with Vertex AI, and apply responsible AI practices.
This instructor-led live training (online or onsite) is aimed at training managers, instructional designers, and learning and development professionals who wish to use generative AI to modernise training programmes and improve efficiency.
Spanning 3.5 hours, this fast-paced and high-impact webinar is engineered to establish a universal foundation of AI literacy. It delves into the core “what, why, and how” of Generative AI, placing strong emphasis on immediate practical applications alongside critical security awareness.
Upon completing this training, participants will be equipped to:
Grasp the fundamental concepts of Generative AI and understand its relevance to specific professional roles
Master the essential principles of effective prompting to optimize outcomes
Pinpoint high-value daily tasks that can be expedited through AI (e.g., drafting emails, summarising content)
Identify and mitigate critical security, privacy, and ethical risks, such as “hallucinations” and data leakage
Langdock unifies various AI models, assistants, corporate knowledge, and workflows within a single platform for the company. This course guides you through daily chat operations, the creation and sharing of assistants, the integration of knowledge sources, and the setup of workflows with human approval. It also covers the necessary rules for data management, role definition, and rollout.
This live, instructor-led training in Durban is tailored for: Departments and key users in organisations that use or are introducing Langdock as a central AI platform.
By the end of this training, participants will be able to:
Many repetitive tasks can be delegated to an AI agent without requiring any coding, provided that the task scope, relevant knowledge, and control mechanisms are clearly defined. This two-day course supports participants in moving from initial task profiling to a fully tested agent equipped with tools, approval stages, and operational documentation. Each participant applies the concepts to a workflow relevant to their specific domain.
This instructor-led, live training in Durban is designed for: Specialist users, key users, and process owners looking to offload recurring work to AI agents.
Upon completing this training, participants will be able to:
Distinguish between an AI agent, a standard chat, and an assistant
Identify tasks suitable for delegation to an agent
Plan an agent with defined objectives, instructions, knowledge sources, tools, and constraints
Develop an agent without code and validate it against real-world scenarios
Integrate approval points and human oversight mechanisms
Evaluate maintenance requirements, costs, and operational risks
Course Format
Duration: 2 days (7 hours per day)
Interactive training featuring trainer guidance, discussions, and hands-on exercises focused on participants’ own use cases
Day 1 Outcome: Each participant will have an agent profile and a first, tested agent for a personal workflow.
Day 2 Outcome: Each participant will have an agent with a connected tool, an approval point, test cases, and concise operating documentation.
Course Customization Options
To request a customized version of this training, please contact us to arrange details.
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Testimonials (11)
skills and projects in claude, variety of tools for different purpose
Agnieszka Czypionka
Course - Generative AI in Healthcare: Transforming Medicine and Patient Care
Comprehensiveness about the backround; how to do a prompt.
Olaf Kannt - Helios Klinikum Krefeld
Course - Generative AI and Prompt Engineering in Healthcare
Everything is possible :-)
Sandra Bardewyck - Media Carrier Solutions GmbH
Course - Microsoft 365 Copilot: AI Productivity Across Word, Excel, PowerPoint, Outlook, and Teams
the tips and recommended prompts that we can take away from this training
i already have some reports that i know, i will use some of the prompts that looked at today
Kelly Cotham
Course - Copilot for Finance and Accounting Professionals
use of proper and effective prompt
Marses Pacaldo
Course - Generative AI and Prompt Engineering for Corporate Professionals
I really enjoyed learning about AI attacks and the tools out there to begin practicing and actively using for security testing. I took a lot of knowledge away which I didn't have at the beginning and the course met what I hoped it would be. My favorite part shown from the training was Comet Browser and was amazed at what it could do. Definitely something will be looking into more. Overall it was a great course and enjoyed learning all OWASP GenAI Top 10.
Patrick Collins - Optum
Course - OWASP GenAI Security
Excellect knowledge level of the trainer
Pawel Dykowski - LKQ Polska Sp. z o. o.
Course - Microsoft 365 Copilot Chat for Word, Excel, PowerPoint, and Outlook
I really appreciated the examples, they were relevant to almost any industry. Kevin's calm demeanour and approachable manner really helped. His broad knowledge and suggestions about how to generate prompts was deeply appreciated.
Colin Calnan - Canarie
Course - Microsoft 365 Copilot
The most valuable part was the practical examples that made the material easy to understand
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