AI Solutions Engineer
Programme
Production-ready AI engineering for students and working professionals. Learn from engineers who have designed and deployed systems for Bloomberg, Morgan Stanley, Citadel, and Barclays.
Graduates typically aim for roles in the £40,000–£65,000 range, depending on experience and market conditions. We focus on building skills that make you competitive — not on salary guarantees.
Built by engineers behind systems at Bloomberg, Morgan Stanley, Citadel, Barclays, UBS, G-Research, Bank of America, and Microsoft.
Students & Working Professionals
Whether you're finishing your studies or already in the workforce, this programme is built for people ready to invest in becoming a production AI engineer.
Students
Finishing your degree or recently graduated? Code Block gives you structured weekday training with real office experience on live projects — the practical skills universities don't teach.
Working Professionals
Already in the workforce but need to pivot into AI engineering? Code Club runs weekends (8–10 hours) so you can train around your existing job without taking time off.
Career Switchers
Ready for a change of direction? AI is reshaping every sector. You bring real-world experience — we'll help you redirect it into production AI engineering.
All Visa Statuses Welcome
Student visa, graduate visa, dependant visa, skilled worker visa, UK citizen, or ILR — we don't filter by immigration status. If you're serious about becoming an AI Solutions Engineer, you belong here.
Choose Your Slot
Two cohorts, 20 places each. Pick the schedule that fits your life — weekday or weekend.
Code Block
Structured weekday sessions for students and professionals who can commit during the working week. Four focused hours each day, Monday through Friday.
Code Club
Intensive weekend sessions for working professionals who need to train around their existing job. Eight to ten hours each weekend, deep-dive collaborative coding.
What You'll Become
This programme produces engineers who can take a customer problem from whiteboard to production in under 8 hours — securely, scalably, and with complete confidence.
Career Paths
Skills You'll Gain
What You'll Learn
23 modules across 10 clusters. Every module is taught by engineers who have built these systems in production — not instructors who have only read about them.
AI Engineering Fundamentals
How AI works, neural networks, LLMs, prompt engineering, RAG, vector databases, AI architectures, and foundation models.
Mathematics & Statistics
Linear algebra, probability, statistics, calculus for ML. The mathematical foundations every AI engineer needs.
Excel (Basic to Advanced)
PivotTables, VLOOKUP/HLOOKUP, INDEX/MATCH, Macros, VBA, scenarios, goal seek, data analysis and visualisation.
Data Fundamentals
Data types, categories, the complete data workflow from collection through cleaning and preparation for AI applications.
SQL & Database Management
MySQL, ERD diagrams, normalisation, basic and advanced queries, joins, subqueries, views, database security.
ETL/ELT & Data Pipelines
Extract, transform, load processes. Talend Studio, Apache Hadoop, Apache Kafka. Real-world data integration projects.
R Language for Statistics
R syntax, data structures, statistical analysis, graphics, data visualisation. The statistician's toolkit for data analysis.
Python Fundamentals
Operators, conditionals, loops, data structures, OOP, inheritance, polymorphism, error handling, file management, debugging.
Python for Data
NumPy for numerical computing, Pandas for data analysis, Matplotlib and Seaborn for visualisation. The Python data science stack.
Notebooks & IDEs
Jupyter notebooks for data science and ML exploration. VS Code as a powerful development environment for AI engineering.
Git & GitHub
Version control fundamentals, branching, merging, pull requests. Build a developer portfolio on GitHub to showcase your work.
Docker
Containers, images, Docker Hub, registries. How Docker enables reproducible AI environments from development to production.
CI/CD with Jenkins
Continuous integration and delivery pipelines. Jenkins setup, GitHub integration, automated testing and deployment workflows.
AWS Certified Cloud Practitioner
Cloud computing concepts and AWS fundamentals. Core services, security, architecture best practices. Exam preparation included.
Power BI
DAX functions, data modelling, relationships, visualisations, custom visuals, sharing and collaboration, real-world dashboards.
Tableau
Tableau UI, marks card, filters, forecasting, parameters, measures and dimensions. Build interactive dashboards from real datasets.
ML Fundamentals
Supervised learning (regression and classification), unsupervised learning (clustering and association). Scikit-learn, model evaluation, bias vs variance.
Advanced ML
XGBoost, Gradient Boosting, AdaBoost, Grid Search CV, Regularisation, Gradient Descent. Production-grade model optimisation.
Reinforcement Learning
Thompson Sampling, Upper Confidence Bound, Q-Learning. Build agents that learn from interaction with their environment.
Deep Learning
ANN, CNN, RNN, LSTM, Encoder-Decoder, Stable Diffusion, Transformer models. TensorFlow and Keras for building neural networks.
Prompt Engineering
System prompts, APIs, chain-of-thought reasoning, few-shot and zero-shot learning, context management, defending against prompt attacks.
Retrieval-Augmented Generation
RAG architectures, embeddings, vector databases, Pinecone, knowledge bases. Enhance AI applications with external knowledge.
LLM Development
LangChain, Hugging Face API, ChatGPT integration, text embeddings. Build production-ready LLM-powered applications.
Streamlit Car Price Predictor
Build an interactive web application using Python and Streamlit that predicts vehicle prices from real data. Your first deployed ML app.
Sentiment Analysis Classifier
Hugging Face pre-trained models, evaluation metrics, confusion matrices, error analysis. Deploy as an interactive Streamlit app.
Customer Service Chatbot
RAG + prompt engineering + vector databases. Full-stack AI application with frontend and backend. Production-ready architecture.
7+ ML Projects
Weather prediction, stock price forecasting, cancer classification, wine quality prediction, taxi fare estimation, marketing analysis, and more.
AI Plays Super Mario
Reinforcement Learning agent that learns to play Super Mario. Demonstrate RL concepts with a visually compelling, portfolio-ready project.
AI Sales Agent
Reinforcement Learning + Deep Learning + NLP. Build an intelligent sales agent that interacts with customers and learns from conversations.
Text-to-Image & Image-to-Text
LLM-powered tool that generates images from prompts and describes images with text. Covers Stable Diffusion and vision transformers.
Power BI & Tableau Dashboards
End-to-end dashboard projects: housing data, jobs data, sales analytics. Interactive visualisations ready for client presentations.
AI & Data Ethics
Bias in AI systems, data privacy, fairness, transparency, accountability. Ethical frameworks for responsible AI development.
Oral Exam
Virtual oral assessment covering programme material and practical application. Demonstrates your readiness for client-facing consulting work.
Client Placement Preparation
CV refinement, LinkedIn optimisation, interview preparation, client communication skills. Get ready to represent NALITS at client sites.
Your Programme Investment
Start with a free assessment, then choose the path that fits your gaps.
- 15-minute 1-on-1 interview
- Detailed Skill Gap Report
- Required before enrolling
- Customised roadmap from your assessment
- 20 hours training + Q&A per week
- In-office only
- Community access + exit interview
- Code Block or Code Club cohort (20 places each)
- Work experience on live NALITS projects
- 1 year job assistance
- Community access + exit interview
Book Your Free Skills Assessment
15 minutes with an engineer. A detailed Skill Gap Report. A clear path forward.
15-Minute Interview
A focused 1-on-1 conversation with a NALITS engineer. We identify what you already know and what you need to learn.
Skill Gap Report
You receive a detailed breakdown of your current skills, your gaps, and a recommended path — built around you.
No payment required — just an honest assessment of where you stand.
✓ No commitment
No obligation. Use your report to decide whether Code Block, Code Club, or Precision Upskilling is right for you.
Common Questions
No. The programme starts with a free skills assessment that identifies your current level. We build a curriculum around your specific gaps — whether you're a complete beginner or have some experience. If you can use a computer and have the drive to learn, you can do this.
Code Block runs Monday to Friday, 4 hours per day — ideal if you can commit during the week. Code Club runs at weekends, 8–10 hours per session — designed for working professionals who need to train around their job. Both cohorts have 20 places and cover the same programme content.
1 July 2026. Places in both Code Block and Code Club are allocated on a first-come basis after your free assessment.
Yes. Code Club is specifically designed for working professionals — intensive weekend sessions that fit around your existing job. Code Block suits students or those who can commit weekday hours.
All. We welcome student visa holders, graduate visa holders, dependant visa holders, skilled worker visa holders, UK citizens, and ILR holders. We do not discriminate by immigration status.
Graduates who complete the programme typically aim for roles such as Agentic Workflow Engineer, AI Go-to-Market specialist, AI Ethics & Governance Lead, or Forward Deployed Engineer. Salary ranges of £40,000–£65,000 are common for these positions depending on experience and market conditions.
Start with a free 15-minute skills assessment and Skill Gap Report. Based on your results, you can join Precision Upskilling (£100, optional) or go straight to the AI Solutions Engineer programme (£1,500). The programme fee includes 1 year job assistance, work experience on live NALITS projects, community access, and an exit interview. All training is paid in advance.
Your place in either Code Block or Code Club, collaborative training with production code, work experience on live NALITS client projects, 1 year of job assistance, community access, and a structured exit interview.