Explore Our Courses

InVideo AI: Creating Engaging Short-Form Videos

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level digital marketers, influencers, and brand strategists who wish to maximize audience engagement through AI-powered video content.By the end of this training, participants will be able to:
  • Understand the capabilities and features of InVideo AI.
  • Create compelling video content tailored to their target audience.
  • Implement strategies to increase viewer interaction and retention.
  • Analyze performance metrics to refine video marketing strategies.
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InVideo AI for Social Media

 7 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level social media managers, content creators, and marketing professionals who wish to harness the power of InVideo AI for producing compelling video content for social media platforms.By the end of this training, participants will be able to:
  • Utilize InVideo AI to transform text into engaging video content.
  • Navigate and make the most of InVideo's AI-driven video creation platform.
  • Enhance social media strategies with AI-generated video content.
  • Analyze and optimize video engagement using AI insights.
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Tabnine: Code Smarter with AI

 21 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at developers ranging from novices to experts who wish to leverage AI for code generation with Tabnine.By the end of this training, participants will be able to:
  • Understand the basics of AI-powered code generation.
  • Install and configure Tabnine in their development environment.
  • Utilize Tabnine for efficient code completion and error correction.
  • Create and train custom AI models with Tabnine for specialized tasks.
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Tabnine for Advanced Developers

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at advanced-level developers and team leads who wish to master advanced features of Tabnine.By the end of this training, participants will be able to:
  • Implement Tabnine in complex software projects.
  • Customize and train Tabnine's AI models for specific use cases.
  • Integrate Tabnine into team workflows and development pipelines.
  • Enhance code quality and accelerate development cycles using Tabnine's insights.
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Tabnine for Python Developers

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level Python developers and data scientists who wish to boost their productivity with the help of Tabnine.By the end of this training, participants will be able to:
  • Install and configure Tabnine in their Python development environment.
  • Use Tabnine's autocomplete features to write Python code more efficiently.
  • Customize Tabnine's behavior to fit their coding style and project needs.
  • Understand how Tabnine's AI model works specifically with Python code.
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Tabnine for Beginners

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level developers who wish to increase their coding efficiency with the help of Tabnine.By the end of this training, participants will be able to:
  • Install and set up Tabnine in their preferred IDE.
  • Utilize Tabnine's autocomplete features to speed up coding.
  • Customize Tabnine's settings for optimal assistance.
  • Understand how Tabnine's AI learns from their code to provide better suggestions.
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Comprehensive AI, DeepFake & Voice Cloning

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level to intermediate-level content creators, entrepreneurs, and technology enthusiasts who wish to harness the power of AI for innovative media production and business growth.By the end of this training, participants will be able to:
  • Create realistic voice clones for various applications.
  • Manipulate video content with DeepFake technology for creative or educational purposes.
  • Adopt ethical AI practices for content creation.
  • Leverage AI tools for business and creative enhancement.
  • Master AI media technologies for advanced applications.
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AI on Amazon Web Services (AWS)

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level IT professionals who wish to learn how to leverage AWS tools and services to build, train, and deploy AI models efficiently.By the end of this training, participants will be able to:
  • Understand the AI/ML services provided by AWS.
  • Be able to set up and manage AI/ML environments on AWS.
  • Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker.
  • Learn to utilize various AWS AI services for specific use cases.
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Edge AI for Smart Cities

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level urban planners, civil engineers, and smart city project managers who wish to leverage Edge AI for smart city initiatives.By the end of this training, participants will be able to:
  • Understand the role of Edge AI in smart city infrastructures.
  • Implement Edge AI solutions for traffic management and surveillance.
  • Optimize urban resources using Edge AI technologies.
  • Integrate Edge AI with existing smart city systems.
  • Address ethical and regulatory considerations in smart city deployments.
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Security and Privacy in Edge AI

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level cybersecurity professionals, system administrators, and AI ethics researchers who wish to secure and ethically deploy Edge AI solutions.By the end of this training, participants will be able to:
  • Understand the security and privacy challenges in Edge AI.
  • Implement best practices for securing edge devices and data.
  • Develop strategies to mitigate security risks in Edge AI deployments.
  • Address ethical considerations and ensure compliance with regulations.
  • Conduct security assessments and audits for Edge AI applications.
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Edge AI in Autonomous Systems

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level robotics engineers, autonomous vehicle developers, and AI researchers who wish to leverage Edge AI for innovative autonomous system solutions.By the end of this training, participants will be able to:
  • Understand the role and benefits of Edge AI in autonomous systems.
  • Develop and deploy AI models for real-time processing on edge devices.
  • Implement Edge AI solutions in autonomous vehicles, drones, and robotics.
  • Design and optimize control systems using Edge AI.
  • Address ethical and regulatory considerations in autonomous AI applications.
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Edge AI for Healthcare

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level healthcare professionals, biomedical engineers, and AI developers who wish to leverage Edge AI for innovative healthcare solutions.By the end of this training, participants will be able to:
  • Understand the role and benefits of Edge AI in healthcare.
  • Develop and deploy AI models on edge devices for healthcare applications.
  • Implement Edge AI solutions in wearable devices and diagnostic tools.
  • Design and deploy patient monitoring systems using Edge AI.
  • Address ethical and regulatory considerations in healthcare AI applications.
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Advanced Edge AI Techniques

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at advanced-level AI practitioners, researchers, and developers who wish to master the latest advancements in Edge AI, optimize their AI models for edge deployment, and explore specialized applications across various industries.By the end of this training, participants will be able to:
  • Explore advanced techniques in Edge AI model development and optimization.
  • Implement cutting-edge strategies for deploying AI models on edge devices.
  • Utilize specialized tools and frameworks for advanced Edge AI applications.
  • Optimize performance and efficiency of Edge AI solutions.
  • Explore innovative use cases and emerging trends in Edge AI.
  • Address advanced ethical and security considerations in Edge AI deployments.
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Building AI Solutions on the Edge

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level developers, data scientists, and tech enthusiasts who wish to gain practical skills in deploying AI models on edge devices for various applications.By the end of this training, participants will be able to:
  • Understand the principles of Edge AI and its benefits.
  • Set up and configure the edge computing environment.
  • Develop, train, and optimize AI models for edge deployment.
  • Implement practical AI solutions on edge devices.
  • Evaluate and improve the performance of edge-deployed models.
  • Address ethical and security considerations in Edge AI applications.
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Edge AI for IoT Applications

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level developers, system architects, and industry professionals who wish to leverage Edge AI for enhancing IoT applications with intelligent data processing and analytics capabilities.By the end of this training, participants will be able to:
  • Understand the fundamentals of Edge AI and its application in IoT.
  • Set up and configure Edge AI environments for IoT devices.
  • Develop and deploy AI models on edge devices for IoT applications.
  • Implement real-time data processing and decision-making in IoT systems.
  • Integrate Edge AI with various IoT protocols and platforms.
  • Address ethical considerations and best practices in Edge AI for IoT.
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Edge AI: From Concept to Implementation

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level developers and IT professionals who wish to gain a comprehensive understanding of Edge AI from concept to practical implementation, including setup and deployment.By the end of this training, participants will be able to:
  • Understand the fundamental concepts of Edge AI.
  • Set up and configure Edge AI environments.
  • Develop, train, and optimize Edge AI models.
  • Deploy and manage Edge AI applications.
  • Integrate Edge AI with existing systems and workflows.
  • Address ethical considerations and best practices in Edge AI implementation.
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Introduction to Edge AI

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level developers and IT professionals who wish to understand the fundamentals of Edge AI and its introductory applications.By the end of this training, participants will be able to:
  • Understand the basic concepts and architecture of Edge AI.
  • Set up and configure Edge AI environments.
  • Develop and deploy simple Edge AI applications.
  • Identify and understand the use cases and benefits of Edge AI.
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Multimodal AI for Content Creation

 21 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level content creators, digital artists and media professionals who wish to learn how multimodal AI can be applied to various forms of content creation.By the end of this training, participants will be able to:
  • Use AI tools to enhance music and video production.
  • Generate unique visual art and designs with AI.
  • Create interactive multimedia experiences.
  • Understand the impact of AI on the creative industries.
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Multimodal AI in Robotics

 21 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at advanced-level robotics engineers and AI researchers who wish to utilize Multimodal AI for integrating various sensory data to create more autonomous and efficient robots that can see, hear, and touch.By the end of this training, participants will be able to:
  • Implement multimodal sensing in robotic systems.
  • Develop AI algorithms for sensor fusion and decision-making.
  • Create robots that can perform complex tasks in dynamic environments.
  • Address challenges in real-time data processing and actuation.
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Multimodal AI for Enhanced User Experience

 21 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level UX/UI designers and front-end developers who wish to utilize Multimodal AI to design and implement user interfaces that can understand and process various forms of input.By the end of this training, participants will be able to:
  • Design multimodal interfaces that improve user engagement.
  • Integrate voice and visual recognition into web and mobile applications.
  • Utilize multimodal data to create adaptive and responsive UIs.
  • Understand the ethical considerations of user data collection and processing.
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Multimodal AI: Integrating Senses for Intelligent Systems

 21 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level AI researchers, data scientists, and machine learning engineers who wish to create intelligent systems that can process and interpret multimodal data.By the end of this training, participants will be able to:
  • Understand the principles of multimodal AI and its applications.
  • Implement data fusion techniques to combine different types of data.
  • Build and train models that can process visual, textual, and auditory information.
  • Evaluate the performance of multimodal AI systems.
  • Address ethical and privacy concerns related to multimodal data.
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SLMs for Smart Cities: Urban Planning and Management with AI

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level urban planners, city administrators, and smart city solution developers who wish to implement Small Language Models (SLMs) in smart city projects to improve urban living.By the end of this training, participants will be able to:
  • Understand the application of SLMs in smart cities.
  • Integrate SLMs with urban data sets for enhanced decision-making.
  • Develop strategies for deploying SLMs in urban management systems.
  • Assess the impact of SLMs on urban planning and smart city solutions.
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AI Coding Assistants: Enhancing Developer Productivity

 7 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level to intermediate-level software developers who wish to integrate AI coding assistants into their development workflow.By the end of this training, participants will be able to:
  • Understand the role and capabilities of AI coding assistants in software development.
  • Utilize various AI coding assistant tools to automate routine coding tasks.
  • Integrate AI coding assistants into their software development lifecycle.
  • Enhance their productivity and focus on more complex and creative programming tasks.
  • Address ethical considerations and responsible use of AI in software development.
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SLMs for Educational Tech: Tailoring AI for Learning and Development

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level educational technologists, instructional designers, and AI developers in education who wish to integrate Small Language Models (SLMs) into educational platforms to enhance teaching and learning processes.By the end of this training, participants will be able to:
  • Understand the role of SLMs in educational technology.
  • Design AI-driven learning experiences using SLMs.
  • Implement SLMs in various educational settings.
  • Evaluate the effectiveness of SLMs in learning outcomes.
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AI-Augmented Software Engineering (AIASE)

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level software professionals who wish to leverage AI and machine learning to improve efficiency and innovation in software development.By the end of this training, participants will be able to:
  • Understand the role of AI and machine learning in automating software development tasks.
  • Implement AI tools to generate code, tests, and documentation.
  • Apply AI techniques for code optimization, quality assurance, and debugging.
  • Integrate AI into the DevOps and CI/CD pipelines for improved deployment strategies.
  • Address ethical considerations and challenges in AI-augmented software engineering.
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Small Language Models (SLMs) for On-Device AI

 21 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level IT professionals who wish to deploy small language models directly onto devices with limited processing capabilities, opening up possibilities for innovative applications in various sectors.By the end of this training, participants will be able to:
  • Understand the challenges and solutions for implementing AI on compact hardware.
  • Optimize and compress AI models for efficient on-device deployment.
  • Utilize modern AI frameworks and tools for on-device model implementation.
  • Design and develop real-time AI applications for mobile and IoT devices.
  • Evaluate and ensure the security and privacy of on-device AI systems.
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Introduction to AI Trust, Risk, and Security Management (AI TRiSM)

 21 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to understand and implement AI TRiSM in their organizations.By the end of this training, participants will be able to:
  • Grasp the key concepts and importance of AI trust, risk, and security management.
  • Identify and mitigate risks associated with AI systems.
  • Implement security best practices for AI.
  • Understand regulatory compliance and ethical considerations for AI.
  • Develop strategies for effective AI governance and management.
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Small Language Models (SLMs): Developing Energy-Efficient AI

 21 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at advanced-level machine learning engineers and AI researchers who wish to develop energy-efficient AI solutions with small language models that are both powerful and environmentally friendly.By the end of this training, participants will be able to:
  • Understand the impact of AI on energy consumption and the environment.
  • Apply model compression and optimization techniques to reduce the size and energy usage of AI models.
  • Utilize energy-efficient hardware and software frameworks for AI deployment.
  • Implement best practices for sustainable AI development.
  • Advocate for and contribute to sustainable practices in the AI industry.
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Generative AI with Large Language Models (LLMs)

 21 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level developers who wish to learn how to use generative AI with LLMs for various tasks and domains.By the end 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 optimize 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.
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Fundamentals of Intelligent Driving

 21 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level to intermediate-level developers and architects who wish to learn the fundamentals of intelligent driving and how to apply them to real-world scenarios.By the end of this training, participants will be able to:
  • Explain the basic concepts and principles of AI and how it can be applied to driving.
  • Understand the architecture and components of intelligent driving systems.
  • Create and visualize a composite driving model from different design disciplines.
  • Communicate and annotate issues and feedback within the model.
  • Perform clash detection and resolution between driving scenarios.
  • Simulate and control driving schedules and costs.
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AI Automation with n8n and LangChain

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.By the end of this training, participants will be able to:
  • Design and implement complex workflows using n8n's visual programming interface.
  • Integrate AI capabilities into workflows using LangChain.
  • Build custom chatbots and virtual assistants for various use cases.
  • Perform advanced data analysis and processing with AI agents.
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Small Language Models (SLMs) for Human-AI Interactions

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level data scientists, machine learning and AI researchers who wish to create engaging and efficient AI-powered conversational experiences with small language models.By the end of this training, participants will be able to:
  • Understand the fundamentals of conversational AI and the role of SLMs.
  • Design and implement user-centric AI interactions.
  • Develop and train SLMs for interactive applications.
  • Evaluate and improve the effectiveness of human-AI communication using appropriate metrics.
  • Deploy scalable and ethical AI-driven conversational interfaces in real-world scenarios.
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Introduction to Artificial Intelligence (AI)

 35 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at professionals who wish to learn and understand the concept of AI and how to use it effectively and responsibly. By the end of this training, participants will be able to:
  • Learn the concept of Artificial Intelligence (AI).
  • Understand the limits and dangers of AI and use it responsibly.
  • Know how to effectively use AI in real-world scenarios.
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Building AI Workflows in n8n

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level to advanced-level developers and AI hobbyists who wish to create advanced AI workflows in n8n.By the end of this training, participants will be able to:
  • Understand the integration of AI services with n8n workflows.
  • Implement AI-driven decision-making in automated processes.
  • Create custom AI nodes and use pre-built AI nodes in n8n.
  • analyze and optimize the performance of AI workflows.
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LangChain Fundamentals

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level to intermediate-level developers and software engineers who wish to learn the core concepts and architecture of LangChain and gain the practical skills for building AI-powered applications.By the end of this training, participants will be able to:
  • Grasp the fundamental principles of LangChain.
  • Set up and configure the LangChain environment.
  • Understand the architecture and how LangChain interacts with large language models (LLMs).
  • Develop simple applications using LangChain.
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Small Language Models (SLMs) for Domain-Specific Applications

 28 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level data scientists and machine learning engineers who wish to create and apply small language models tailored for specific domains such as legal, medical, and technical fields.By the end of this training, participants will be able to:
  • Understand the importance and application of domain-specific language models.
  • Curate and preprocess specialized datasets for model training.
  • Train and fine-tune language models for domain-specific applications.
  • Evaluate and benchmark models using domain-relevant metrics.
  • Deploy domain-specific language models in real-world scenarios.
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Advanced LLMs for NLP Tasks

 21 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at 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.By the end of this training, participants will be able to:
  • Establish a development environment with LLMs and essential tools.
  • Expertly perform NLU and NLI tasks with LLMs.
  • Extract, infer, and utilize knowledge graphs effectively.
  • Generate and manage dialogues using LLMs for conversational applications.
  • Evaluate content quality and diversity generated by LLMs and generative AI.
  • Apply ethical principles, ensuring fairness and responsible use of LLMs.
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Introduction to Bing AI: Enhancing Search with Artificial Intelligence

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at digital marketers, content creators, and developers who wish to understand the impact of AI on search engines, explore the capabilities of Bing AI, and learn about chatbot technologies and their applications. By the end of this training, participants will be able to:
  • Understand the principles and benefits of Bing AI.
  • Identify the AI-powered features within Bing and their applications.
  • Utilize Bing AI to enhance search results and user experiences.
  • Evaluate the potential of AI in search engine optimization (SEO) and content creation.
  • Explore chatbot technologies and their applications, including Bing AI Chatbot.
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LangChain: Building AI-Powered Applications

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at intermediate-level developers and software engineers who wish to build AI-powered applications using the LangChain framework.By the end of this training, participants will be able to:
  • Understand the fundamentals of LangChain and its components.
  • Integrate LangChain with large language models (LLMs) like GPT-4.
  • Build modular AI applications using LangChain.
  • Troubleshoot common issues in LangChain applications.
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Small Language Models (SLMs): Applications and Innovations

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at beginner-level to intermediate-level data scientists and developers who wish to implement and leverage Small Language Models in various applications.By the end of this training, participants will be able to:
  • Understand the architecture and functionality of Small Language Models.
  • Implement SLMs for tasks such as text generation and sentiment analysis.
  • Optimize and fine-tune SLMs for specific use cases.
  • Deploy SLMs in resource-constrained environments.
  • Evaluate and interpret the performance of SLMs in real-world scenarios.
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Introduction to Large Language Models (LLMs)

 14 Hours
This instructor-led, live training in Australia (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.
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Introduction to Data Science and AI using Python

 35 Hours
This is a 5 day introduction to Data Science and Artificial Intelligence (AI). The course is delivered with examples and exercises using Python 
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OptaPlanner in Practice

 21 Hours
This course uses a practical approach to teaching OptaPlanner. It provides participants with the tools needed to perform the basic functions of this tool.
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AI in business and Society & The future of AI - AI/Robotics

 7 Hours
This is a classroom based training session in a presentation and Q&A format
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Artificial Intelligence (AI) for City Planning

 14 Hours
What will cities look like in the future? How can Artificial Intelligence (AI) be used to improve city planning? How can AI be used to make cities more efficient, livable, safer and environmentally friendly?In this instructor-led, live training (onsite or remote), we examine the various technologies that make up AI, as well as the skill sets and mental framework required to put them to use for city planning. We also cover tools and approaches for gathering and organizing relevant data for use in AI, including data mining.Audience
  • City planners
  • Architects
  • Developers
  • Transportation officials
Format of the Course
  • Part lecture, part discussion, and a series of interactive exercises.
Note
  • To request a customized training for this course, please contact us to arrange.
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Intelligent Testing

 14 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at software testers who wish to have an AI driven software testing environment. By the end of this training, participants will be able to:
  • Automate unit test generation and parameterization with AI.
  • Apply machine learning learning in a real world use-case.
  • Automate the generation and maintenance of API tests with AI.
  • Use machine learning methods to self-heal the execution of Selenium tests.
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AI in Digital Marketing

 7 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at marketers who wish to use AI to improve improve digital marketing strategies through valuable customer insights. By the end of this training, participants will be able to:
  • Leverage AI software to improve the way brands connect to users.
  • Use chatbots to optimize the user-experience.
  • Increase productivity and revenue through the automation of tasks.
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Artificial Intelligence (AI) for Robotics

 21 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at engineers who wish to program and create robots through basic AI methods. By the end of this training, participants will be able to:
  • Implement filters (Kalman and particle) to enable the robot to locate moving objects in its environment.
  • Implement search algorithms and motion planning.
  • Implement PID controls to regulate a robot's movement within an environment.
  • Implement SLAM algorithms to enable a robot to map out an unknown environment.
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Artificial Intelligence (AI) for Managers

 7 Hours
This instructor-led, live training in Australia (online or onsite) is aimed at managers and business leaders who wish to learn about the fundamentals of artificial intelligence and manage AI projects for their organization. By the end of this training, participants will be able to understand AI at a technical level and strategize using their organization’s data and resources to successfully manage AI projects.
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AI and Robotics for Nuclear

 80 Hours
In this instructor-led, live training in Australia (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 4-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The code will then be loaded onto physical hardware (Arduino or other) for final deployment testing. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to:
  • Understand the key concepts used in robotic technologies.
  • Understand and manage the interaction between software and hardware in a robotic system.
  • Understand and implement the software components that underpin robotics.
  • Build and operate a simulated mechanical robot that can see, sense, process, navigate, and interact with humans through voice.
  • Understand the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to building a smart robot.
  • Implement filters (Kalman and Particle) to enable the robot to locate moving objects in its environment.
  • Implement search algorithms and motion planning.
  • Implement PID controls to regulate a robot's movement within an environment.
  • Implement SLAM algorithms to enable a robot to map out an unknown environment.
  • Test and troubleshoot a robot in realistic scenarios.
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AI and Robotics for Nuclear - Extended

 120 Hours
In this instructor-led, live training in Australia (online or onsite), participants will learn the different technologies, frameworks and techniques for programming different types of robots to be used in the field of nuclear technology and environmental systems. The 6-week course is held 5 days a week. Each day is 4-hours long and consists of lectures, discussions, and hands-on robot development in a live lab environment. Participants will complete various real-world projects applicable to their work in order to practice their acquired knowledge. The target hardware for this course will be simulated in 3D through simulation software. The ROS (Robot Operating System) open-source framework, C++ and Python will be used for programming the robots. By the end of this training, participants will be able to:
  • Understand the key concepts used in robotic technologies.
  • Understand and manage the interaction between software and hardware in a robotic system.
  • Understand and implement the software components that underpin robotics.
  • Build and operate a simulated mechanical robot that can see, sense, process, navigate, and interact with humans through voice.
  • Understand the necessary elements of artificial intelligence (machine learning, deep learning, etc.) applicable to building a smart robot.
  • Implement filters (Kalman and Particle) to enable the robot to locate moving objects in its environment.
  • Implement search algorithms and motion planning.
  • Implement PID controls to regulate a robot's movement within an environment.
  • Implement SLAM algorithms to enable a robot to map out an unknown environment.
  • Extend a robot's ability to perform complex tasks through Deep Learning.
  • Test and troubleshoot a robot in realistic scenarios.
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Testimonials(18)

I like the way Sonia interact with audience, she made the webinar alive not boring like others webinar. I also got surprised by the ChatGPT and really impress.

NURUL FARIHAH BINTI ABD MALEK - HRD CORP

Course - ChatGPT for Accounting

His way of gaining audience

Venkata Narasimha Murthy - 6Point6

Course - ChatGPT for Automation

bulding the case of an integration of chatgpt for HR purpose

Clélia - Proximus

Course - ChatGPT for Human Resources

It was very funny and very interesting the way of how topics were exposed

Iván - si

Course - Artificial Intelligence (AI) for Managers

Practical examples in Insurance

Viren - Hollard Insure

Course - ChatGPT

Understanding big data beter

Shaune Dennis - Vodacom

Course - Big Data Business Intelligence for Telecom and Communication Service Providers

The detail in which the instructor explained all the concepts.

Privolin Naidoo - Vodacom

Course - Microsoft Bot Framework Composer

The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.

Terry Strachan - Exel Computer Systems plc

Course - OptaPlanner in Practice

Trainer was very knowlegable and very open to feedback on what pace to go through the content and the topics we covered. I gained alot from the training and feel like I now have a good grasp of image manipulation and some techniques for building a good training set for an image classification problem.

Anthea King - WesCEF

Course - Computer Vision with Python

Subject presentation knowledge timing

Aly Saleh - FAB banak Egypt

Course - Introduction to Data Science and AI (using Python)

Quantum computing algorithms and related theoretical background know-how of the trainer is excellent. Especially I'd like to emphasize his ability to detect exactly when I was struggling with the material presented, and he provided time&support for me to really understand the topic - that was great and very beneficial! Virtual setup with Zoom worked out very well, as well as arrangements regarding training sessions and breaks sequences. It was a lot of material/theory to cover in "only" 2 days, wo the trainer had nicely adjusted the amount according to the progress related to my understanding of the topics. Maybe planning 3 days for absolute beginners would be better to cover all the material and content outlined in the agenda. I very much liked the flexibility of the trainer to answer my specific questions to the training topics, even additionally coming back after the breaks with more explanation in case neccessary. Big thank you again for the sessions! Well done!

Giorgi Ediberidze

Course - Quantum Computing with IBM Quantum Experience

Organization, adhering to the proposed agenda, the trainer's vast knowledge in this subject

Ali Kattan - TWPI

Course - Natural Language Processing with TensorFlow

the matter was well presented and in an orderly manner.

Marylin Houle - Ivanhoe Cambridge

Course - Introduction to R with Time Series Analysis

Richard's training style kept it interesting, the real world examples used helped to drive the concepts home.

Jamie Martin-Royle - NBrown Group

Course - From Data to Decision with Big Data and Predictive Analytics

This is one of the best hands-on with exercises programming courses I have ever taken.

Laura Kahn

Course - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

I genuinely enjoyed the hands-on approach.

Kevin De Cuyper

Course - Computer Vision with OpenCV

I did like the exercises.

Office for National Statistics

Course - Natural Language Processing with Python

He was very informative and helpful.

Pratheep Ravy

Course - Predictive Modelling with R

Upcoming Courses

LangChain: Building AI-Powered Applications

2024-07-29 09:30
14 hours
Sydney King Street
4030 AUD (Online)
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Edge AI in Autonomous Systems

2024-08-12 09:30
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2024-08-26 09:30
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2024-09-09 09:30
21 hours
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6465 AUD (Classroom)

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2024-09-23 09:30
14 hours
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4030 AUD (Online)
4430 AUD (Classroom)

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2024-10-07 09:30
14 hours
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23630 AUD (Classroom)

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2024-10-21 09:30
14 hours
Sydney King Street
4030 AUD (Online)
4630 AUD (Classroom)

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