Register for AI & Deep Learning Course
Master Python, TensorFlow, and PyTorch for cutting-edge AI solutions with our 30-hour expert-led course. Limited spots available!
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Complete the form below to reserve your place. An invoice will be sent to your email from registration.confirmation@braintechblueprint.co.uk with payment details.
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Why Join the AI & Deep Learning Course?
This 30-hour training program is designed for aspiring AI professionals to build and deploy advanced AI models. With hands-on projects and access to GPU cloud environments, you’ll master Python, TensorFlow, and PyTorch.
- Duration: 30 hours of expert-led training
- Level: Beginner to Intermediate
- Format: Online, self-paced with live Q&A sessions and instructor support
- Tools: Python, TensorFlow, PyTorch, scikit-learn, Anaconda, Jupyter
- Certification: Earn a Certificate of Completion recognized by top employers
- Support: Access to a private community and 1:1 mentorship options
Investment: £750
An invoice will be sent to your email from registration.confirmation@braintechblueprint.co.uk with payment instructions.
What You’ll Master
Introduction to Artificial Intelligence
- Overview of AI: history, applications, trends
- Key concepts: supervised, unsupervised learning
- Python for AI development
- Setting up Anaconda, Jupyter, libraries
- Hands-on: Building a linear regression model
- Real-world examples: Netflix, Google AI
- Dataset preprocessing, feature engineering
- Ethics in AI: bias, fairness
Machine Learning Foundations
- Core algorithms: decision trees, SVMs, k-NN
- Evaluation metrics: accuracy, precision, recall
- Overfitting, underfitting, regularization
- Hands-on: Training a classifier with scikit-learn
- Hyperparameter tuning, cross-validation
- Ensemble methods: random forests, boosting
- Real-world scenario: Predicting churn
- Hands-on lab: Building a recommender system
Deep Learning with Neural Networks
- Neural networks: perceptrons, layers
- Activation functions: ReLU, sigmoid, tanh
- Building models with TensorFlow, PyTorch
- Backpropagation, gradient descent
- Hands-on: Feedforward neural network
- CNNs for image data
- RNNs for sequential data
- Hands-on lab: Classifying digits with CNN
Advanced AI Applications
- Computer vision: object detection, segmentation
- NLP: tokenization, embeddings
- Hands-on: Sentiment analysis with NLP
- Transfer learning: BERT, ResNet
- Generative AI: GANs, autoencoders
- Hands-on lab: Generating images with GAN
- Reinforcement learning: Q-learning
- Real-world project: AI for games
AI in Production
- Model optimization: quantization, pruning
- Deploying with Docker, Kubernetes
- Monitoring AI: drift detection, retraining
- Hands-on: Deploying to AWS
- Scaling AI with GPU clusters
- Security: adversarial attacks, defenses
- Hands-on lab: Securing against poisoning
- Case study: Tesla’s autonomous driving
Why Choose This Course?
- Expert-led sessions by AI practitioners
- Hands-on projects with real-world datasets
- Flexible online learning with live support
- Comprehensive coverage of AI tools
- Prepares for AI certifications, careers
- Lifetime access to course updates
Ready to Master AI & Deep Learning?
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