AI & Machine Learning Bootcamp
Step into the future of technology with TechinUK’s AI & Machine Learning Bootcamp. This live, instructor-led program teaches you to build machine learning models, neural networks, and AI applications using Python, TensorFlow, and PyTorch. Gain practical experience with NLP, deep learning, and model deployment, preparing you for roles as an AI Engineer or ML Developer in the UK.
Duration: 12 weeks | Format: Live Online | Outcome: Portfolio-ready, Level 6 RQF equivalence
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Week 1: Foundations of AI and Machine Learning
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Week 2: Data Preparation for ML
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Week 3: Supervised Learning
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Week 4: Unsupervised Learning
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Week 5: Neural Networks and Deep Learning
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Week 6: Natural Language Processing (NLP)
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Week 7: Generative AI and LLMs
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Week 8: AI Model Deployment
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Week 9 – 10: Capstone Project
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Week 11 – 12: Ethics, Compliance & Career Development
The TechinUK AI & Machine Learning Bootcamp is a 12-week advanced training programme built for learners who want to design, train, and deploy intelligent models. You’ll master machine learning, deep learning, natural language processing (NLP), and generative AI, guided by expert instructors in real-time virtual classes.
Perfect for upskilling developers, engineers, and data professionals, this course prepares you for AI Engineer and ML Developer roles in the UK’s fast-growing tech ecosystem.
Career Overview
TechinUK’s AI & Machine Learning Bootcamp prepares learners to design, train, and deploy intelligent systems using industry-standard tools and frameworks. You’ll gain hands-on experience in deep learning, natural language processing, and AI model deployment, preparing for technical roles at the cutting edge of automation and artificial intelligence.
Typical Job Titles
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Machine Learning Engineer
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AI Engineer
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Data Scientist (Advanced)
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NLP Engineer
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Computer Vision Specialist
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Research Assistant (AI)
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MLOps Engineer
Key Skills You’ll Master
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Building machine learning models with scikit-learn, TensorFlow, and PyTorch
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Neural networks, CNNs, and RNNs
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Data preprocessing and feature engineering
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Natural Language Processing (NLP) and Generative AI
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Model deployment using Flask, FastAPI, or cloud services
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Version control and collaboration using Git & GitHub
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Ethical considerations in AI and responsible ML practices
UK Average Salary Range
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Entry-level roles: £40,000 – £55,000 per year
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Mid-level roles (2 – 4 years experience): £60,000 – £85,000 per year
Career Path Progression
Machine Learning Intern – ML Engineer – Senior AI Engineer – AI Product Lead / Research Scientist
This course aligns with Level 6 RQF equivalence, designed for learners ready to transition into specialised AI and ML roles or enhance their expertise after completing a Data Science programme.