Artificial Intelligence

The Artificial Intelligence Course offers comprehensive training on artificial intelligence fundamentals. Through practical scenarios, students enhance their intelligence and skills in artificial intelligence. This hands-on programme focuses on developing intelligence, applying intelligence to real-world cases, and mastering techniques essential for success in the rapidly evolving field of artificial intelligence.

The Artificial Intelligence Course at LSET offers an immersive learning experience, designed to equip students with a robust understanding of artificial intelligence. This course covers the core concepts of intelligence, exploring its applications across various industries. With hands-on training, students develop the intelligence needed to tackle real-world challenges. The curriculum is continually updated to reflect the latest advancements, ensuring participants stay at the forefront of AI intelligence. By engaging in lectures, projects, and internships, students will enhance their intelligence, making them proficient in the rapidly evolving field of artificial intelligence.

Machine Learning: Dive into the intelligence behind predictive models, including supervised and unsupervised learning, and explore the latest developments in reinforcement learning.

Natural Language Processing (NLP): Gain insights into the intelligence of language models, with a focus on recent breakthroughs like GPT-4 and its applications in chatbots and language translation.

Computer Vision: Explore the intelligence driving image and video analysis, including advancements in facial recognition, object detection, and autonomous vehicle technology.

Deep Learning: Understand the intelligence of neural networks, with a particular emphasis on convolutional and recurrent neural networks, crucial for tasks like image classification and time-series analysis.

Ethical AI: Engage with the intelligence required to navigate the ethical implications of AI, addressing biases, privacy concerns, and the societal impacts of intelligent systems.

Edge AI: Discover the intelligence that powers AI at the edge, enabling smart devices to process data locally, enhancing speed and privacy in real-time applications.

Foundational Modules

Pre-Work: Math for AI and Statistics Refresher: Revisits essential mathematical concepts and statistical principles crucial for effectively understanding and applying AI algorithms.

Programming with Python: Delves into Python, a widely used language in AI and data science, covering essential programming skills and data manipulation.

Data Structures and Algorithms: Explores critical data structures and algorithms essential for efficient problem-solving and building effective AI applications.

Machine Learning: Introduces key machine learning concepts, techniques, and models, including regression, classification, and probability theory.

Advanced Machine Learning: Provides a deep dive into advanced machine learning concepts, including decision trees, ensemble methods, and feature engineering.

Specialised Modules

Natural Language Processing (NLP): Offers insights into computer and human language interaction, covering applications like chatbot development and sentiment analysis.

Computer Vision (CV): Concentrates on empowering machines to understand and interpret visual data, covering areas such as image classification and recognition.

Additional Modules and Subjects

Ethical Implications of AI: Explores ethical concerns, bias, and regulations surrounding AI, fostering responsible and ethical AI development and deployment.

Industry Applications and Use Cases: Showcases real-world applications of AI in diverse domains, including impactful examples of AI technologies.

The course is designed to be accessible to individuals with or without a technical background, offering a thorough introduction to AI concepts, terminology, and applications without requiring prior programming or computer science expertise. Throughout the program, learners can engage in practical demonstrations of AI through mini-projects, further solidifying their understanding of AI in action.

In addition to the core AI curriculum, the course offers specialized modules covering data science, machine learning models, deep learning, computer vision, and natural language processing. It also provides a comprehensive overview of AI’s ethical considerations and societal impacts, ensuring a well-rounded understanding of the field.

The course syllabus is meticulously crafted to prepare aspiring AI enthusiasts for successful careers by providing hands-on experience, foundational knowledge, and exposure to cutting-edge AI technologies.