AI Training & Mentoring
Build AI capabilities within your organization through specialized training programs
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, be it 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 via email and on a call.
Learning Pathways
The Leader Pathway
For senior executives responsible for organizational oversight and strategic investment decisions.
Executive AI Training: Leading in the Age of Artificial Intelligence
CoreThe C-Suite Decision-Maker
AI Due Diligence: Evaluating High-Growth AI Ventures
CoreThe Capital Allocator
The Strategist/Manager Pathway
For mid-to-senior level managers, product owners, and strategists who translate AI strategy into action.
Enterprise Prompt Engineering and Active Cognition
CoreThe Enterprise Professional
AI Literacy: From Concept to Real-World Use
CoreThe Curious Professional
AI Strategy for Business Leaders: From Idea to Implementation
CoreThe Product/Business Unit Leader
Modern Machine Learning Practices: The MLOps Lifecycle
The ML/DevOps Engineer
The Developer Pathway
For hands-on technical professionals who build, deploy, and maintain AI systems.
Technical AI Training: From Python to Deep Learning
CoreThe Aspiring AI Developer
GenAI Application Development: Building with LLMs
CoreThe Modern Software Developer
Developing Agentic Systems: The Next Frontier of AI
CoreThe Advanced AI Engineer
Building Time Series Projects for Production: From Forecasting to MLOps
The Data Scientist/ML Engineer
Modern Machine Learning Practices: The MLOps Lifecycle
The ML/DevOps Engineer
Programs for Every Level
Executive Leadership
Business Teams
Technical Teams
Outcomes
Strategic Project Selection
Team Skill Development
Improved Communication
Faster Results Delivery
One-on-One AI Mentoring
Benefits
- Personalized Learning PathCustomized guidance based on your specific goals and existing skill level
- Project-Based GuidancePractical advice on your actual implementation challenges
- Accelerated GrowthAvoid common pitfalls and focus on high-impact learning areas
- Continuous SupportRegular sessions to adapt to evolving challenges and technologies
Technical Mentoring
- AI architecture review and guidance
- Code review and optimization
- Problem-solving sessions
- Implementation strategy
Leadership Mentoring
- AI team structure and hiring
- Project prioritization
- Strategy development
- ROI measurement frameworks
Training Formats
Workshops
Intensive, hands-on sessions. We can deliver these virtually, at your offices, or as a full-service, catered off-site event in London or elsewhere.
- 0.5-3 day formats
- Interactive exercises
- Small group sessions
- On-site, virtual, or off-site
Custom Programs
A fully bespoke program. We consult with you to design a curriculum tailored to your team's specific goals and can manage all logistics.
- Full curriculum customization
- Role-specific content
- Full-service event logistics (optional)
- Integration with your existing systems
Executive Briefings
Concise, high-level sessions focused on strategic insights and decision-making frameworks for leadership teams.
- 2-4 hour formats
- Industry trends analysis
- Two-way Q&A
- On-site or virtual delivery
What Our Clients 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
Training Based on Industry-Leading Books
Our comprehensive training programs are built on practical implementation experience featured in bestselling books authored by our team
Retrieval Augmented Generation, The Seminal Papers
Published: March 2026 | New Release
Principles for architecting reliable and verifiable AI
Retrieval Augmented Generation (RAG) is a standard process for grounding LLM prompts in user-specified content rather than relying only on a model’s training data. RAG has grown from a simple prompt engineering workflow into a sophisticated set of data analysis, storage, and retrieval techniques. Retrieval Augmented Generation, The Seminal Papers explores foundational research papers that explain why RAG works, how it’s built, and what makes it different from other approaches.
Key topics:
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:
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:
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:
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Ready to build AI capabilities in your organization?
Contact us to discuss your training needs and customize a program for your team.