AI Specialist – Unlock the Power of AI Solutions
Elevate your AI expertise with the AI Specialist course. Explore advanced neural networks, natural language processing, and computer vision applications to solve complex business challenges. Learn to deploy AI models using cutting-edge MLOps practices and cloud platforms. This course provides hands-on experience with real-world AI applications, empowering you to design innovative solutions that drive impact across industries.
- Explore cutting-edge AI technologies like CNNs, RNNs, and transformers.
- Specialise in NLP, computer vision, and AI deployment strategies.
- Develop a chatbot or a computer vision application as a practical project.
- Course duration: 8 weeks
- Become a recognised Certified AI Specialist.
AI Specialist Course
AI Specialist Course Overview
- Comprehensive Curriculum – Covers CNNs, RNNs, Transformers, NLP, Computer Vision, AI deployment, and MLOps.
- Deep Learning & NLP – Includes CNNs, LSTMs, GRUs, Transformers, Word2Vec, BERT, and GPT.
- Computer Vision & Object Detection – Focuses on YOLO, Mask R-CNN, and real-world dataset training.
- AI Deployment & MLOps – Covers API creation, Docker, cloud deployment, and CI/CD pipelines.
AI Specialist Course Outline
Module 1: Advanced Neural Networks: CNNs, RNNs, and Transformers
- CNNs for Image Data: Explore filters, pooling, and feature maps.
- RNNs for Sequential Data: Dive into LSTMs and GRUs.
- Transformers: Master self-attention and positional encoding.
- Practical: Build a CNN for image classification (e.g., MNIST dataset).
Module 2: Natural Language Processing (NLP)
- Text Processing: Tokenization, stemming, and lemmatization.
- Language Models: Understand Word2Vec, BERT, and GPT.
- Practical: Develop a sentiment analysis model.
Module 3: Computer Vision Applications
- Image Segmentation and Object Detection: Learn YOLO and Mask R-CNN.
- Practical: Implement object detection on a custom dataset.
Module 4: AI Model Deployment and MLOps
- Model Deployment: Create APIs, work with Docker, and utilize cloud platforms.
- MLOps Principles: Implement Continuous Integration and Deployment (CI/CD).
- Practical: Deploy a chatbot using Flask and Docker.
- Location – Leeds, UK
- Duration – 12 Days
- Timing – 9:00 to 17:00
- Price – £6300
- Duration – 12 Days
- Timing – 9:00 to 17:00
- Price – £2880
What’s Included in the AI Specialist Course:
- Flexible Learning / Flexible Delivery
- Access course materials anytime with self-paced learning and live instructor-led sessions.
- Learn through interactive labs, real-world projects, and expert mentorship.
- Exam Preparation
- Comprehensive practice tests and mock exams aligned with industry certifications.
- Hands-on assignments and real-world case studies to reinforce concepts.
- Certification
- Earn an industry-recognized AI Specialist certification upon successful completion.
- Gain credibility with certification aligned with AI industry standards.
Prerequisites for AI Specialist Course
- Foundational AI Knowledge:
- Basic understanding of AI concepts, including Machine Learning and Neural Networks.
- Programming Skills:
- Proficiency in Python, including familiarity with libraries like NumPy, Pandas, and Matplotlib.
- Mathematical Foundations:
- Knowledge of linear algebra, calculus, probability, and statistics is highly recommended.
- Experience with Machine Learning Models:
- Prior experience building and evaluating simple ML models such as regression or classification.
- Curiosity and a Growth Mindset:
- Eagerness to explore complex AI topics and apply them to real-world problems.
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 and deploy an NLP chatbot or computer vision application.
- Pass mark: 65%
Certification Exam (50%)
- Duration: 60 minutes
- Type: 40 multiple choice questions
- Pass mark: 65% (26/40)