AI Mastery – Achieve Excellence in Advanced AI
Master advanced AI techniques with the AI Mastery course. Delve into generative AI, large language models, and cutting-edge optimization strategies for deploying efficient, scalable AI solutions. Explore cloud-based AI services and gain insights into ethical AI practices and explainability. Through practical projects, you’ll develop the expertise to lead AI-driven innovation and implement transformative solutions in dynamic business environments.
- Gain expertise in generative AI, large language models, and AI in the cloud.
- Scale and optimise AI models for real-world applications.
- Solve a real-world problem with a production-ready AI capstone project.
- Course duration: 6 weeks
- Become a Certified AI Master.
AI Mastery Course
AI Mastery Course Overview
- Comprehensive Curriculum – Covers advanced AI topics, including Generative AI, cloud-based AI deployment, model optimization, and explainable AI.
- Cutting-Edge AI Tools – Gain hands-on experience with GANs, GPT, AWS SageMaker, Google Cloud AI, Azure AI, and SHAP for model fairness.
- Hands-On Learning – Train and deploy AI models, fine-tune large language models, and optimize deep learning solutions for real-world applications.
- Scalability & Efficiency – Master techniques like quantization and pruning to enhance AI performance for cloud and mobile deployment.
- Ethics & Explainability – Understand AI decision-making, evaluate bias, and implement fairness strategies using industry-leading tools.
AI Mastery Course Outline
Module 1: Generative AI
- Explore GANs (Generative Adversarial Networks): Learn how discriminators and generators create synthetic data.
- Dive into LLMs (Large Language Models): Fine-tune models like GPT.
- Practical: Train a simple GAN to generate synthetic images.
Module 2: AI in Cloud
- Gain expertise in cloud platforms: AWS SageMaker, Google Cloud AI, and Azure AI.
- Learn to train and deploy AI models seamlessly in cloud environments.
- Practical: Deploy an AI model using AWS SageMaker.
Module 3: Scaling and Optimizing AI Models
- Master optimization techniques: Quantization and pruning for efficient AI models.
- Learn to scale deep learning models for real-world deployment.
- Practical: Optimize a deep learning model for mobile use.
Module 4: Advanced Ethics and Explainable AI
- Delve into explainability: Tools and techniques to understand AI decisions.
- Analyze real-world applications and case studies.
- Practical: Evaluate model fairness using tools like SHAP.
- Location – Leeds, UK
- Duration – 14 Days
- Timing – 9:00 to 17:00
- Price – £7300
- Duration – 14 Days
- Timing – 9:00 to 17:00
- Price – £3310
What’s Included in the AI Mastery Course:
- Flexible Learning / Flexible Delivery
- Access self-paced modules, live expert-led sessions, and on-demand resources.
- Learn through interactive projects, case studies, and real-world AI applications.
- Exam Preparation
- Comprehensive guidance with mock tests, key concept reviews, and practice exercises.
- Certification
- Earn an industry-recognized AI Mastery certification upon successful completion.
Prerequisites for AI Mastery Course
- Strong Foundation in AI:
- Completed earlier courses in AI, such as AI Foundations, Machine Learning, or equivalent experience.
- Proficiency in Python:
- Comfortable with Python programming and using libraries like NumPy, Pandas, TensorFlow, or PyTorch.
- Mathematical Knowledge:
- A solid understanding of linear algebra, calculus, probability, and statistics.
- Experience with Neural Networks:
- Familiarity with neural network architectures, including CNNs, RNNs, and Transformers.
- Knowledge of Cloud Platforms:
- Experience with cloud platforms like AWS, GCP, or Azure for deploying AI models is a plus.
- AI Model Development:
- Prior experience in building and training machine learning or deep learning models.
Each participant of this course will have to attend and pass one project and one exam to complete the module and attain the certification.
Module Project (50%)
- Duration: Throughout the course
- Type: Practical project based on the contents of the module- Build a production-ready AI application addressing a real-world problem.
- Pass mark: 65%
Certification Exam (50%)
- Duration: 60 minutes
- Type: 40 multiple choice questions
- Pass mark: 65% (26/40)