What You Will Learn
- Introduction to Artificial Intelligence: Understand the foundations of AI, its evolution, and its role in driving digital transformation across industries.
- AI Concepts and Technologies: Learn the key principles of AI, including machine learning, neural networks, natural language processing, and computer vision.
- Data Management and Preprocessing: Gain practical skills in data collection, cleaning, and preparation to ensure high-quality inputs for AI model development.
- Machine Learning and Deep Learning Models: Explore supervised, unsupervised, and reinforcement learning techniques, along with deep learning architectures and applications.
- AI Tools and Frameworks: Get hands-on experience with leading AI tools and frameworks such as TensorFlow, PyTorch, and OpenAI APIs.
- AI Project Lifecycle: Understand how to plan, design, develop, and deploy AI solutions that meet organizational and business objectives.
- Ethics and Responsible AI: Learn best practices for ethical AI design, data privacy, transparency, and compliance with international standards.
- AI Implementation in Business: Discover how to apply AI to real-world business scenarios—enhancing decision-making, automation, and innovation.
- Certification and Career Readiness in Qualified Artificial Intelligence Specialist (QAIS): Prepare for the Qualified Artificial Intelligence Specialist (QAIS) certification with practical exercises and exam guidance.
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Secure your seat — limited availability
We keep class sizes small to ensure hands-on support and personalized feedback.
Seats left: 12
📅 Happening on: Nov 24 – Nov 27, 2025
⏳ Duration: 4days • Live
