Learn the Foundations of AI and Emerging Technologies
Have you ever wondered how technologies like Artificial Intelligence (AI), Machine Learning (ML), and Robotics are shaping the future? Are you curious about the intersection of these innovations with Blockchain and other deep technologies? If so, this course is for you!
Available as IVGC Single!
What You'll Achieve with the Generative AI, Deeptech and Cryptos
In this course, you’ll gain critical insights into the core concepts behind AI and emerging technologies, and understand how they are applied in the real world. The expert-led content will give you an overview of AI, Machine Learning, Blockchain, Robotics, and more, helping you navigate the landscape of Deeptech.
Complete Course Overview
The Generative AI, Deeptech and Cryptos course consists of several modules, each designed to build your foundational knowledge in this exciting field.
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Foundations of Generative AI and Machine Learning
Learn the basics of AI and Machine Learning, understanding how they function and their real-world applications. -
AI and Cryptocurrencies
Explore the intersection between AI, Machine Learning, and blockchain technologies. Discover how these innovations impact financial technologies and the digital economy. -
AI in Robotics
Uncover how AI and machine learning are revolutionizing the field of robotics. Understand how robots learn and adapt through AI algorithms.
By the end of the course, you will have a solid understanding of these key areas and how they contribute to the broader Deeptech ecosystem.
Course Curriculum
Professional Tools and Techniques You'll Use
Throughout the course, you will be introduced to tools and techniques commonly used by AI and Deeptech professionals:
- AI and Machine Learning Frameworks: Learn about the frameworks that power AI and ML applications, such as TensorFlow and PyTorch.
- Blockchain Technology: Understand how blockchain technology secures transactions and enables decentralized systems.
- Robotic Systems: Explore the basics of AI in robotics and learn how intelligent systems are designed and built.
These hands-on tools will give you a real-world understanding of how to apply AI and Deeptech in various industries.
How You'll Complete the Course
This course is designed to be completed in a self-paced format, giving you the flexibility to study at your own convenience. Here's how you'll navigate the learning process:
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Watch the Videos
Engage with expert-led lectures and interviews, which will guide you through the foundations of AI and emerging technologies. -
Pass the Quiz
After watching the videos, test your knowledge by completing a quiz. To earn the course credit, you must pass the quiz with a satisfactory score. -
Earn Your Credit
Upon passing the quiz, you will receive a certificate and 1 credit as part of your IVGC progress.
Technical Requirements
To successfully complete the course, you'll need:
- A PC or Mac with the latest software updates.
- Stable Internet Connection to access the course materials online.
- Audio Equipment (headphones or speakers) to listen to video lectures.
We recommend allocating 1 to 3 days to complete the course, depending on your prior knowledge and how intensively you study.
Recognized Credits and Certificate
Upon completing this course, you'll one earn university credit that can contribute to your learning journey. You will receive a Certificate of Studies as recognition of your achievement. This credit can be valuable evidence of your skills when applying to European universities or pursuing a career.
Learn from the Best
Our course instructors are recognized leaders in AI and Deeptech, bringing their years of experience and real-world insights directly to you. You'll have the opportunity to learn from:
- Dr. Jeremy Sosabowski – Co-founder & CEO at AlgoDynamix, an AI-based financial price forecasting analytics company. Jeremy has over a decade of business and technology commercialisation experience. His previous roles include CTO at an instrumentation company (technology acquired) and data analyst within the online transaction space. His 'IP portfolio' includes several granted patents and more than 10 peer-reviewed publications.
- John Harper – Founder and Director of Cambridge Machine Learning. Over the last 10 years John has designed, built and deployed AI solutions for some of the largest companies in the world across industries, including finance, healthcare, retail, automotive and gaming. A passionate teacher, he has over 15k student across the world, specialising in data science, machine learning and AI.
- Jim McDougall – Founder and Co-CEO of Outfield, a company innovating machine learning and computer vision systems for the international fruit sector - making more fruit, using less resources and with less waste in the supply chain. For the past 8 years, Jim and the Outfield team have pioneered new AI technologies, leading research projects around the world and deploying commercial solutions with fruit growers. Prior to Outfield, Jim had a storied career in risk consultancy, including developing and delivering bespoke training courses for the world's largest energy companies. He continues to enjoy teaching, lecturing at world leading universities on strategy, entrepreneurship, agritech and AI.
These experts will provide you with a deep understanding of the latest trends and developments in the field, giving you practical insights you can apply immediately.