Our Approach
Our approach to this foundational course is centered on clarity, simplicity, and real-world relevance. We break down complex AI concepts into digestible modules that progressively build understanding—starting with the basics of data science and analytics, and moving through AI, machine learning, deep learning, generative AI, and computer vision. Each topic is taught through engaging examples and practical explanations, ensuring that learners not only grasp theoretical ideas but also see how they apply in everyday industry scenarios. With short, focused sessions totaling 20 hours, the course is designed for maximum flexibility and accessibility, making it ideal for beginners eager to explore the potential of AI without feeling overwhelmed.
Our Goals
This course is designed with the goal of building a strong foundational understanding of artificial intelligence and its key components in a simplified and accessible way. We aim to empower learners—regardless of their technical background—with the knowledge to distinguish between core concepts like AI, machine learning, and deep learning, while also introducing emerging areas such as generative AI, large language models, and computer vision. By focusing on real-world applications and industry use cases, especially in the context of AI agents, our goal is to help learners gain clarity, confidence, and curiosity as they begin their journey into the world of AI.
Course Modules – 20 Hours
- Foundations of Data Science and Data Analytics (3 HOURS): Introduces the basic principles of data science and analytics, setting the stage for AI applications.
- AI, ML, and Deep Learning: Explained (6 HOURS): Demystifies artificial intelligence, machine learning, and deep learning, clarifying their concepts and relationships.
- Gen AI and LLM: Demystify (5 HOURS): Explores Generative AI and Large Language Models, explaining how they function and their potential applications.
- Computer Vision in AI (2 HOURS): Introduces computer vision techniques used in AI, covering image recognition and processing.
- AI Agents: Industry Applications (4 HOURS): Covers the use of AI agents in different industries, showcasing their practical applications and benefits
Learning Outcomes
J2K AI HiTech Academy leverages deep industry expertise to deliver cutting-edge AI education that meets the evolving needs of the tech landscape. The learning outcomes of our curriculum include:
- Describe basic data science and analytics principles.
- Explain the core differences between AI, machine learning, and deep learning.
- Recognize the basic functionality of generative AI and LLMs.
- Identify basic computer vision applications in AI.
- List common industry applications for AI agents.
FAQ
What distinguishes this "Advanced" course from the "Beginner" course?
What are the specific programming and mathematical skills required or taught in this course?
How does the course cover the practical application of Large Language Models (LLMs)?
What real-world applications of AI are explored in this advanced course?
What are the assessment methods and certification requirements for this advanced course?
Company Profile
Contact us today!
Address
No.33A South phase, Guindy, Chennai
Contact
Call : +91 86023 41638