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Master Low Carbon Fuels & Artificial Intelligence Architectures. Expert-designed, self-paced courses built for industry professionals. Learn practically, on your own schedule.

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Artificial Intelligence Available

Artificial Intelligence

Individual - The Fundamentals of Artificial Intelligence

Course key learnings - discover what AI is, its fascinating history, how intelligent agents work and the technology behind machine, deep learning, and NLP.

Ideal for

Professionals • Managers • Students • Consultants

10 LessonsDownloadable Course Materials24/7 Expert AI Agent Support

Fundamentals of AI

10 lessons

  1. 1What is Artificial Intelligence?
    • Key learnings from this course
    • What is artificial intelligence?
    • What is an algorithm?
    • What is an artificial neural network?
    • A computing system neuron
    • The six AI terms everyone should know
  2. 2A History of Artificial Intelligence
    • Early cybernetics & symbolic reasoning
    • Natural language processing & cognitive modelling
    • AI meets psychology: simulating human behaviour
    • Expert systems: knowledge-based AI
    • Backpropagation: the foundation of ANNs
    • The control loop analogy
    • Big data: fuelling the modern era of AI
  3. 3Intelligent Agents: The Minds Behind Modern AI
    • What are AI agents?
    • The 5 types of AI agents
    • What is the agent function?
    • What is the agent program?
    • The concept of rationality
    • The AI rationality problem
    • AI task environments & properties
    • Learning agents
  4. 4Making Simple & Complex Decisions in AI
    • What is a decision in AI?
    • Simple decisions: reflex & rule-based agents
    • Goal-based agents: search & planning
    • Utility agents: handling trade-offs
    • The complexity explosion
    • LLM-powered agents
    • Examples of complex AI decisions
    • Simple vs. complex agents
    • Current challenges & limitations
    • Where we're heading: 2026 & beyond
  5. 5The Role of Data in AI
    • Data as the foundation of AI
    • Types of data in AI
    • The data flywheel
    • Data quality > data quantity
    • Scaling laws & the bitter lesson
    • Modern data strategies (2026)
    • Ethical & legal challenges
    • The future of data in AI
  6. 6Machine & Deep Learning
    • Connecting AI, machine & deep learning
    • What is machine learning?
    • Types of machine learning
    • Supervised learning in detail
    • Key machine learning workflows
    • Training, validation & test sets
    • Evaluation metrics: the basics
    • What is deep learning?
    • Deep learning architectures, part 1
    • Deep learning architectures, part 2
    • Applications & challenges
  7. 7Natural Language Processing
    • What is NLP & why it matters
    • How machines see language
    • Turning words into numbers
    • Core NLP tasks
    • The LLM era: what changed?
    • Where next?
  8. 8Human-AI Interaction
    • What is human-AI interaction?
    • Key paradigms & models of interaction
    • Trust & explainability
    • Agency & control
    • Bias, fairness & errors
    • Transparency & communication
    • Real-world examples & 2026 trends
  9. 9AI Tools & Frameworks
    • The modern AI stack
    • Leading frontier models & chat interfaces
    • AI developer tools & coding assistants
    • Core ML & deep learning frameworks
    • Generative AI & LLM app frameworks
    • Agent & multi-agent frameworks
    • Quick decision guide
  10. 10The Future of AI
    • The 2026 baseline: where we stand today
    • Near term (2026–2030): the agentic explosion & everyday integration
    • Mid term (2030–2040): towards AGI & superintelligence
    • Long term (post-2040): the singularity & a post-human era
    • Ethics & societal shockwaves
    • Wild cards & emerging disruptors
    • Preparing for tomorrow: actionable insights

Tap a lesson to see what it covers.
Available Low Carbon Fuels

Energy & Sustainable Fuels

Corporate - Low Carbon Fuels Masterclass

Practical Low-Carbon Fuels Training for Technical, Commercial and Leadership Teams

The energy transition is creating an increasingly complex range of fuel and technology choices

SAF, renewable diesel, hydrogen, methanol, ammonia, biofuels and Power-to-Liquids all have potential roles, but they differ significantly in technology maturity, energy efficiency, feedstock requirements, infrastructure needs, lifecycle performance and commercial readiness

The North American Sciences Low Carbon Fuels Programme is designed to give corporate teams a practical understanding of these technologies and, critically, where they can realistically be deployed. Rather than focusing only on policy targets or theoretical emissions reductions, the programme examines the technologies from an industrial and deployment perspective

Low Carbon Fuels Masterclass

12 lessons in two parts

Part 1

  1. 1The low-carbon fuels landscape (overview of the 8–10 major families)
  2. 2Why batteries won't save the world & why we need dense liquid/gas fuels
  3. 3Sustainable aviation fuel: deep dive
  4. 4Biofuels: deep dive
  5. 5Renewable diesel & co-processing in existing refineries
  6. 6Power-to-liquids (the only true net-zero path), part 1

Part 2

  1. 7Power-to-liquids (the only true net-zero path), part 2
  2. 8Hydrogen-derived energy carriers
  3. 9Cracking is dead! The rise of synthetic refineries
  4. 10The anthropogenic impact of low-carbon fuels
  5. 11Energy density realities
  6. 12Commercial realities (electricity & catalyst costs, EROEI, food for fuel)
The Fundamentals of Artificial Intelligence
$249.99
One time

✓ Expert AI Agent Available 24/7 to Answer Questions
✓ Access to Frontier AI Model (usage limits apply)
✓ 4.5 Hours of High Quality Course Material
✓ Download Course Transcripts
LOW CARBON FUELS MASTERCLASS - OVERVIEW CONTACT FOR PRICING

Why Learn with North American Sciences?

Professional education built around complex, fast moving industries - designed to give you practical knowledge you can actually use

  • Learn from professionals with real world experience in Low Carbon Fuels & Artificial Intelligence

  • Get 24/7 access to an Expert AI Agent that helps clarify concepts, answers questions, and supports your learning journey

  • Focused, self-paced courses designed to fit around work - without unnecessary fillers or drawn-out lectures

  • Understand the technologies, terminology, economics, and trends shaping industries like SAF, and Artificial Intelligence

Learn the concepts. Understand the industry. Apply the knowledge.

Frequently Asked Questions

  • Our courses are designed for professionals, managers, consultants, founders, engineers, analysts, and ambitious learners who want practical knowledge in fast-moving topics such as artificial intelligence, and low carbon fuels.

  • No. Our courses are designed to make complex subjects approachable and understandable. Any specific prerequisites will be clearly stated on the individual course page.

  • Yes. Our courses are fully online and self-paced, allowing you to learn around your own schedule.

  • Course length varies. AI Fundamentals contains approximately 4.5 hours of course content, while Low Carbon Fuels Masterclass contains approximately 5 hours of course content.

  • Allcourses include access to an Expert AI Agent powered by the GROK API frontier model. You can use it to ask questions, clarify concepts, explore topics in greater depth, and support your learning throughout the course.

  • Yes. Downloadable materials are included with the courses.

  • Yes. Where available, you can review the course agenda and learning outcomes before enrolling so you know what the course covers.

  • You receive lifetime access to the course after purchase, allowing you to revisit the material whenever you need it.

  • Yes. We can support organizations looking to build knowledge across areas such as artificial intelligence, energy, and low-carbon fuels. Contact us to discuss team or corporate learning options.