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This intensive course on AI Robotics is designed to immerse participants in the cutting-edge field of robotics, blending foundational knowledge with practical, hands-on exercises. Learners will explore the crucial intersection of hardware and software, understanding how AI connects to robotics and the current landscape. Participants will comprehensively understand how robots perceive and interact with their environment.
Practical skills are a cornerstone of this learning experience; students will engage in exercises that mimic real-world robotics challenges, gaining hands-on experience integrating AI solutions into robotic hardware.
Leveraging the insights from a comprehensive survey of over 350 research papers and current market analysis, including advancements by companies like OpenAI, Amazon, Boston Dynamics, and Tesla, the course is structured to provide both theoretical knowledge and practical applications. The curriculum also includes creating simulations on cloud platforms for accelerated model training, offering an excellent opportunity to engage with the material actively and envision the future trajectory of AI in robotics.
The course is a three-day comprehensive program designed to introduce software developers to the world of cutting edge AI systems and AI-enhanced development. The program is designed to equip AI enthusiasts with an in-depth understanding of AI assistants, their functionalities, and their transformative potential in optimizing workflows and business processes. Participants will gain a thorough understanding of the AI landscape, delve into the intricacies of prompt engineering, and explore practical AI applications through hands-on exercises and real-world case studies.
The course further explores advanced prompt engineering and a tour of the Copilot ecosystem. Participants will engage in hands-on exercises that demonstrate AI's potential in enhancing ideation, proof-of-concept creation, coding, software robustness, and debugging. It also provides an introduction of training a neural network with exercises, and a comparative study of different Large Language Models (LLMs), equipping participants with the knowledge to choose the most suitable model for their needs.
Incorporating LLMs into an application forms a significant part of the learning, along with an overview of AI security. It ensures that developers understand the AI threat landscape and are equipped with strategies to mitigate potential risks, making this course a comprehensive guide to integrating AI into both the product and the processes.
The evolving world of artificial intelligence (AI) brings both opportunities and risks. To protect assets, organizations must understand how to secure their AI systems. This in-depth course delves into the AI security landscape, addressing vulnerabilities like prompt injection, denial of service attacks, model theft, and more. Learn how attackers exploit these weaknesses and gain hands-on experience with proven defense strategies and security APIs.
Discover how to securely integrate LLMs into your applications, safeguard training data, build robust AI infrastructure, and ensure effective human-AI interaction. By the end of this course, you'll be equipped to protect your organization's AI assets and maintain the integrity of your systems.
The course is a three-day program designed to introduce software developers to the world of AI-enhanced development. It centers around AI assistants, especially GitHub Copilot, and integrating AI into software applications. Participants will engage in hands-on exercises that demonstrate AI's potential in enhancing ideation, proof-of-concept creation, coding, software robustness, and debugging.
The course further explores advanced prompt engineering and a tour of the Copilot ecosystem. It also provides a comparative study of different Large Language Models (LLMs), equipping participants with the knowledge to choose the most suitable model for their needs. An understanding of various cloud providers and their AI offerings is explored, enabling informed decisions about tool and platform selection.
Incorporating LLMs into an application forms a significant part of the learning, along with an overview of AI security. It ensures that developers understand the AI threat landscape and are equipped with strategies to mitigate potential risks, making this course a comprehensive guide to integrating AI into both the product and the processes.
Embark on an exciting journey to explore the potential of AI in everyday work with our comprehensive AI Fundamentals course. This immersive two-day training program is designed to equip AI enthusiasts with an in-depth understanding of AI assistants, their functionalities, and their transformative potential in optimizing workflows and business processes.
Participants will gain a thorough understanding of the AI landscape, delve into the intricacies of prompt engineering, and explore practical AI applications through hands-on exercises and real-world case studies. The course also brings to light various AI tools, their applications, and their impact on everyday life.
Our goal is to empower you with the knowledge and skills to navigate the rapidly evolving AI ecosystem effectively and confidently. Join us to unravel the mysteries of AI and discover its transformative potential.
