Transform Your Team's AI Capabilities

From executive briefings to hands-on technical workshops, our comprehensive training portfolio is designed to meet you where you are and take you where you need to be. Each course is crafted from real-world experience, featuring case studies from actual implementations and taught by practitioners who have delivered enterprise AI solutions.

These are not video courses but we work with small groups that can have discussions with the instructor, and course material is specifically created for the audience. Participants can bring their questions and also contact our experts with their problems.

Choose from three distinct learning pathways—Leader, Strategist/Manager, or Developer—each carefully designed to provide the specific skills and knowledge needed for your role.

We provide a certificate on course completion that lists the syllabus and the course requirements.

Contact us online with your ideal dates for any of the courses, if you need help choosing the right course or would like to discuss business discounts, we can talk on the phone or via email.

Choose Your Learning Pathway

The Leader Pathway

For senior executives responsible for organizational oversight and strategic investment decisions.

Executive AI Training: Leading in the Age of Artificial Intelligence

Core

The C-Suite Decision-Maker

1 Day Intensive (In-Person, London) or 4 Weeks (Virtual Cohort) From £1,995
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AI Due Diligence: Evaluating High-Growth AI Ventures

Core

The Capital Allocator

2 Day Intensive (In-Person, London) or 1 Week Accelerated (Virtual Cohort) From £2,495
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The Strategist/Manager Pathway

For mid-to-senior level managers, product owners, and strategists who translate AI strategy into action.

AI Literacy: From Concept to Real-World Use

Core

The Curious Professional

4 Weeks (Online, approx. 3-4 hours/week) or 1 Day Intensive (In-Person, London) From £497
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AI Strategy for Business Leaders: From Idea to Implementation

Core

The Product/Business Unit Leader

6 Weeks (Online, approx. 4-5 hours/week) or 2 Day Intensive (In-Person, London) From £997
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Modern Machine Learning Practices: The MLOps Lifecycle

The ML/DevOps Engineer

8 Weeks (Online, approx. 4-5 hours/week) or 3 Day Intensive (In-Person, London) From £997
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The Developer Pathway

For hands-on technical professionals who build, deploy, and maintain AI systems.

Technical AI Training: From Python to Deep Learning

Core

The Aspiring AI Developer

8 Weeks (Online, approx. 4-5 hours/week) or 3 Day Intensive (In-Person, London) From £797
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GenAI Application Development: Building with LLMs

Core

The Modern Software Developer

6 Weeks (Online, approx. 4-5 hours/week) or 3 Day Intensive (In-Person, London) From £997
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Developing Agentic Systems: The Next Frontier of AI

Core

The Advanced AI Engineer

6 Weeks (Online, approx. 5-6 hours/week) or 3 Day Intensive (In-Person, London) From £1,297
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Building Time Series Projects for Production: From Forecasting to MLOps

The Data Scientist/ML Engineer

8 Weeks (Online, approx. 4-5 hours/week) or 3 Day Intensive (In-Person, London) From £997
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Modern Machine Learning Practices: The MLOps Lifecycle

The ML/DevOps Engineer

8 Weeks (Online, approx. 4-5 hours/week) or 3 Day Intensive (In-Person, London) From £997
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Training Based on Industry-Leading Books

Our comprehensive training programs are built on practical implementation experience featured in bestselling books authored by our team

Generative AI with LangChain (2nd edition)

Published: May 2025 | Amazon Bestseller in Programming

Build production ready LLM applications and advanced agents using Python and LangGraph

A practical guide to leveraging LangChain and LangGraph for GenAI implementation, with real-world examples ranging from customer support to data analysis. The 2025 edition features updated code examples and improved GitHub repository.

Key topics:

Enterprise-grade LLM application architecture Prompt engineering best practices RAG implementation for knowledge augmentation

Machine Learning for Time Series

Published: October 2021 | Industry Standard Reference

Forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Use Python to forecast, predict, and detect anomalies with state-of-the-art machine learning methods. This comprehensive guide covers everything from data preprocessing to advanced models for time-dependent data. The included tutorials range from simple forecasting to complex deep learning architectures for time series analysis.

Key topics:

Anomaly detection systems Forecasting methodologies Feature engineering for time-series

Artificial Intelligence with Python Cookbook

Published: October 2020 | BookAuthority Best-Seller

Proven recipes for applying AI algorithms and deep learning techniques

Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow and PyTorch. The practical cookbook approach provides ready-to-use solutions for common AI challenges, from computer vision to natural language processing, with complete code examples and detailed explanations of implementation considerations.

Key topics:

Deep learning fundamentals Computer vision applications NLP implementation techniques

Programs for Every Level

Executive Leadership

Strategic programs for C-suite and senior leadership to understand AI's business impact and make informed investment decisions.

Business Teams

Practical training for product, marketing, and operations teams to identify AI opportunities and collaborate effectively with technical teams.

Technical Teams

Hands-on workshops for engineers and data scientists to develop, deploy, and maintain production AI systems.

Complete Course Catalog

Executive AI Training

Executive AI Training: Leading in the Age of Artificial Intelligence

1 Day Intensive (In-Person, London) or 4 Weeks (Virtual Cohort)

Artificial Intelligence is no longer a future technology; it is a present-day force reshaping markets. This intensive briefing equips senior executives to navigate this new reality.

Investment starts at

£1,995

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AI Due Diligence: Evaluating High-Growth AI Ventures

2 Day Intensive (In-Person, London) or 1 Week Accelerated (Virtual Cohort)

In the gold rush of AI, distinguish real breakthroughs from sophisticated hype. Master systematic technical and commercial due diligence.

Investment starts at

£2,495

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Business AI Training

AI Literacy: From Concept to Real-World Use

4 Weeks (Online, approx. 3-4 hours/week) or 1 Day Intensive (In-Person, London)

AI is changing every industry. If you're a professional who doesn't have a tech background, this course makes AI simple and clear.

Investment starts at

£497

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AI Strategy for Business Leaders: From Idea to Implementation

6 Weeks (Online, approx. 4-5 hours/week) or 2 Day Intensive (In-Person, London)

You understand the 'why' of AI. This course teaches you the 'how.' Learn the complete lifecycle of an AI project, from business case to launch.

Investment starts at

£997

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Responsible AI in Practice: Governance, Risk, and Compliance

6 Weeks (Online, approx. 4-5 hours/week) or 2 Day Intensive (In-Person, London)

This course moves beyond abstract principles to provide actionable frameworks for implementing robust AI governance, managing corporate risk, and ensuring compliance.

Investment starts at

£1,197

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Technical AI Training

Technical AI Training: From Python to Deep Learning

8 Weeks (Online, approx. 4-5 hours/week) or 3 Day Intensive (In-Person, London)

Move from software developer to AI-capable developer. Master essential mathematics, algorithms, and tools that form the bedrock of modern AI.

Topics covered:
  • Python data science stack (NumPy, Pandas, Matplotlib)
  • Data preprocessing and feature engineering
  • Supervised learning algorithms
  • Unsupervised learning techniques
  • Model evaluation and metrics
  • Neural network fundamentals
  • ...and more

Investment starts at

£797

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GenAI Application Development: Building with LLMs

6 Weeks (Online, approx. 4-5 hours/week) or 3 Day Intensive (In-Person, London)

The new frontier isn't training models from scratch; it's creatively using foundation models to build innovative applications. Master the practical skills companies need now.

Topics covered:
  • LLM API integration (OpenAI, Anthropic, Hugging Face)
  • Advanced prompt engineering techniques
  • System prompt design
  • LangChain framework fundamentals
  • Document processing and chunking
  • Embedding models and vector databases
  • ...and more

Investment starts at

£997

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Developing Agentic Systems: The Next Frontier of AI

6 Weeks (Online, approx. 5-6 hours/week) or 3 Day Intensive (In-Person, London)

The future of AI isn't just answering questions; it's taking action. Build next-generation autonomous agents at the cutting edge of AI engineering.

Topics covered:
  • AI agent fundamentals and theory
  • ReAct and Plan-and-Execute patterns
  • Tool use and function calling
  • LangGraph framework deep dive
  • State management in agent systems
  • Multi-agent collaboration patterns
  • ...and more

Investment starts at

£1,297

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Building Time Series Projects for Production: From Forecasting to MLOps

8 Weeks (Online, approx. 4-5 hours/week) or 3 Day Intensive (In-Person, London)

Building a time series model in a notebook is easy; building one that performs reliably in production is hard. Master the complete lifecycle of production-grade forecasting.

Topics covered:
  • Time series fundamentals and EDA
  • Stationarity and decomposition
  • Feature engineering for temporal data
  • Classical statistical models (ARIMA, SARIMA)
  • Machine learning for time series
  • Facebook Prophet
  • ...and more

Investment starts at

£997

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Modern Machine Learning Practices: The MLOps Lifecycle

8 Weeks (Online, approx. 4-5 hours/week) or 3 Day Intensive (In-Person, London)

A machine learning model that isn't in production is just a research project. Master MLOps—the engineering discipline that makes real-world AI possible.

Topics covered:
  • MLOps principles and best practices
  • Docker containerization for ML
  • CI/CD pipelines for ML projects
  • Automated testing for ML code
  • MLflow for experiment tracking
  • Model registry patterns
  • ...and more

Investment starts at

£997

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One-on-One AI Mentoring

Beyond group training, we offer personalized mentoring sessions to accelerate your AI journey. Whether you're a technical leader looking for guidance on architecture decisions, a developer seeking to level up your AI skills, or an executive exploring strategic AI implementation, our mentoring programs provide tailored support.

Mentoring Benefits

  • Personalized Learning Path

    Customized guidance based on your specific goals and existing skill level

  • Project-Based Guidance

    Practical advice on your actual implementation challenges

  • Accelerated Growth

    Avoid common pitfalls and focus on high-impact learning areas

  • Continuous Support

    Regular sessions to adapt to evolving challenges and technologies

Technical Mentoring

  • AI architecture review and guidance
  • Code review and optimization
  • Problem-solving sessions
  • Implementation strategy
Inquire About Mentoring

Leadership Mentoring

  • AI team structure and hiring
  • Project prioritization
  • Strategy development
  • ROI measurement frameworks
Inquire About Mentoring

Training Outcomes

Strategic Project Selection

Our training helps teams determine which AI projects have the best chance of a high return on investment, focusing resources on initiatives with genuine business impact.

Team Skill Development

Participants gain new skills and processes to help them solve hard problems faster and more effectively than before, elevating your entire team's capabilities.

Improved Communication

We enhance communication between data science teams and the wider business, improving integration between data-users and decision-makers.

Faster Results Delivery

Teams learn how to deliver early results faster, improving the chance that successful R&D projects make it into production and drive business value.

Flexible Delivery Formats

Workshops

Intensive, hands-on sessions focused on specific skills or topics.

  • 0.5-3 day formats
  • Interactive exercises
  • Small group sessions
  • On-site or virtual delivery

Custom Programs

Tailored training solutions designed for your organization's specific needs.

  • Curriculum customization
  • Role-specific content
  • Industry-focused examples
  • Integration with existing initiatives

Executive Briefings

Concise sessions focused on strategic insights for leadership teams.

  • 2-4 hour formats
  • Industry trends analysis
  • Strategic implications
  • Decision-making frameworks

What Participants Say

"The MLOps course provided practical techniques that we implemented immediately. Our deployment frequency has increased by 3x while reducing production issues by 60%."

Michael T.

Director of Data Science, Retail Analytics Firm

"Their team helped us implement GenAI solutions that transformed our customer support. The knowledge transfer approach means our internal team can now maintain and extend the system independently."

Jennifer R.

Head of Innovation, Financial Services

"Working with Chelsea AI Ventures helped us identify the right AI opportunities for our business. Their strategic approach ensured we focused on high-ROI projects rather than just chasing the latest trends."

Michael P.

CEO, Retail Analytics Company

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