AI & ML Training Paths
Instructor-led training paths for business teams, at 80% less than enterprise providers. Each path is delivered live and adapted to the tools your team already uses.
Upskilling and reskilling non-technical staff
Not everyone who needs to understand AI is going to build it. The paths below run from beginner to advanced, so a group of product managers, analysts or support leads can start at the foundations while your engineers take the deeper technical tracks.
For a small or mid-sized company that usually means one or two days for the wider team and a longer path for the people shipping the work. Tell us the mix when you enquire and we will scope it accordingly — pricing is per training day, so a broad session costs the same for five people as for ten.
GenAI Expertise
Master generative AI from prompt engineering to production deployment
Course Curriculum
#1Prompt Engineering BasicsBeginner
2 days • Business Users, Product Managers
Master effective prompting techniques for ChatGPT, Claude, and other LLMs.
Key Modules:
- •Prompt Structure
- •Context Setting
- •Chain of Thought
- •Output Formatting
#2Advanced Prompt EngineeringPractitioner
3 days • AI Product Managers, Prompt Engineers
Complex prompting patterns, multi-shot learning, and prompt optimization strategies.
Key Modules:
- •Few-shot Learning
- •Prompt Templates
- •Prompt Chaining
- •Performance Optimization
#3LLM Integration PatternsIntermediate
4 days • Software Engineers, Solution Architects
Integrate OpenAI, Anthropic, and other LLM APIs into production applications.
Key Modules:
- •API Integration
- •Error Handling & Retries
- •Cost Optimization
- •Security Best Practices
#4RAG Systems DevelopmentIntermediate
5 days • ML Engineers, Backend Developers
Build retrieval-augmented generation systems with vector databases and embedding models.
Key Modules:
- •Vector Embeddings
- •Similarity Search
- •Document Processing
- •RAG Architecture Patterns
#5Fine-tuning & RLHFAdvanced
6 days • ML Engineers, AI Researchers
Fine-tune LLMs with custom datasets and implement reinforcement learning from human feedback.
Key Modules:
- •Fine-tuning Strategies
- •Dataset Preparation
- •RLHF Implementation
- •Model Evaluation
Agentic AI with MCP
Build autonomous AI agents with Microsoft Copilot Platform
Course Curriculum
#1Agents & MCP FrameworksIntermediate
4 days • Senior Developers, AI Engineers
Build autonomous AI agents using Microsoft Copilot Platform and similar frameworks.
Key Modules:
- •Agent Architecture
- •MCP Framework
- •Tool Integration
- •Multi-agent Systems
#2Advanced RAG & MemoryAdvanced
5 days • AI Architects, Senior Engineers
Implement sophisticated memory systems and advanced RAG patterns for intelligent agents.
Key Modules:
- •Long-term Memory
- •Contextual Retrieval
- •Hybrid Search
- •Memory Management
#3Agent Reasoning & PlanningAdvanced
4 days • AI Researchers, Lead Engineers
Implement reasoning engines and planning algorithms for autonomous decision-making.
Key Modules:
- •Reasoning Frameworks
- •Planning Algorithms
- •Decision Trees
- •Goal-oriented Agents
#4Production Agent SystemsAdvanced
5 days • Platform Engineers, DevOps
Deploy, monitor, and scale agent systems in production environments.
Key Modules:
- •Agent Orchestration
- •Monitoring & Observability
- •Security & Compliance
- •Performance Optimization
#5Multi-Agent OrchestrationAdvanced
6 days • System Architects, AI Leaders
Design and implement complex multi-agent systems with coordination and communication protocols.
Key Modules:
- •Agent Communication
- •Coordination Protocols
- •Distributed Systems
- •Swarm Intelligence
AI/ML Expertise
Comprehensive machine learning and deep learning mastery
Course Curriculum
#1Data Science FoundationsBeginner
5 days • Business Analysts, Junior Data Scientists
Essential data science concepts, Python programming, and statistical analysis fundamentals.
Key Modules:
- •Python for Data Science
- •Statistics & Probability
- •Data Wrangling with Pandas
- •Exploratory Data Analysis
#2Applied Machine LearningPractitioner
7 days • Data Scientists, ML Engineers
Hands-on machine learning with scikit-learn, covering classification, regression, and clustering.
Key Modules:
- •Supervised Learning
- •Unsupervised Learning
- •Feature Engineering
- •Model Evaluation & Selection
#3Deep Learning FundamentalsIntermediate
6 days • ML Engineers, Research Scientists
Neural networks, CNNs, and RNNs with TensorFlow and PyTorch.
Key Modules:
- •Neural Network Architecture
- •Convolutional Neural Networks
- •Recurrent Neural Networks
- •Deep Learning Optimization
#4NLP FoundationsIntermediate
5 days • Data Scientists, NLP Engineers
Text processing, embeddings, and traditional NLP techniques.
Key Modules:
- •Text Preprocessing
- •Word Embeddings
- •Named Entity Recognition
- •Sentiment Analysis
#5Transformers & LLMsAdvanced
8 days • Senior ML Engineers, AI Researchers
BERT, GPT architectures, fine-tuning, and prompt engineering for large language models.
Key Modules:
- •Transformer Architecture
- •BERT & GPT Models
- •Fine-tuning Strategies
- •Prompt Engineering
#6MLOps & ProductionAdvanced
4 days • ML Engineers, DevOps Engineers
Deploy and monitor ML models at scale with MLflow, Kubernetes, and cloud platforms.
Key Modules:
- •Model Versioning
- •CI/CD for ML
- •Model Monitoring
- •A/B Testing & Deployment
🚀 Fast Track Option: ML Fast Track Workshop
Intensive hands-on workshop covering ML essentials in 10 days.
10 days intensive workshop • Replaces first 3 courses
🎓 Advanced Specialization: Data Science Mastery Bundle
Complete advanced specialization bundle for mastery-level expertise.
15 days • $43,875$48,750
AI Development
Full-stack development skills for AI applications
Course Curriculum
#1Python for AI DevelopmentBeginner
5 days • Developers new to Python
Python fundamentals with focus on AI/ML libraries and best practices.
Key Modules:
- •Python Syntax & Features
- •NumPy & Pandas
- •Async Programming
- •Testing & Debugging
#2API Development for AIPractitioner
4 days • Backend Developers
Build robust APIs for AI services using FastAPI, async patterns, and best practices.
Key Modules:
- •FastAPI Framework
- •Async/Await Patterns
- •API Security
- •Performance Optimization
#3Cloud AI ServicesIntermediate
5 days • Cloud Engineers, DevOps
Deploy AI applications on AWS, Azure, and GCP with managed AI services.
Key Modules:
- •Cloud AI Services
- •Serverless AI
- •Container Orchestration
- •Cost Management
#4Full-Stack AI ApplicationsIntermediate
6 days • Full-Stack Developers
Build end-to-end AI applications with React, Next.js, and AI backend services.
Key Modules:
- •React for AI UIs
- •Real-time Updates
- •State Management
- •AI-powered Features
Infrastructure & DevOps Bundles
Docker & Kubernetes Bundle
Complete containerization and orchestration
Terraform & IaC Bundle
Infrastructure as code expertise
Airflow & Orchestration Bundle
Master workflow orchestration
Kafka & Streaming Bundle
Real-time data streaming
Volume Pricing & Discounts
The more you learn, the more you save!
Base Rate
- • $2,500 per training day
- • Up to 10 students included
- • No minimum seat requirement
- • Course materials included
Volume Discounts
- • Scaled by total student-days
- • Larger teams save more
- • Longer programs save more
- • Up to 20% off
Payment Terms
- • Net 30: Standard pricing
- • Net 0: 5% discount
- • 50% prepaid: 10% discount
- • 100% prepaid: 15% discount
Up to 80% less than enterprise training costs!
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Training for specific teams
Some teams need a path built around their day-to-day work rather than a general AI curriculum.
AI Training for Customer Support Teams
Build support agents grounded in your own help centre, with escalation design and evaluation from real tickets. 7 days, from $2,500/day.
