Professional Certificate Course of Artificial Intelligence: For Beginners

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 We foster collaboration and innovation, empowering individuals to become engaged citizens and visionary leaders in the AI revolution.

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+91 86023 41638

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.

Focused Customer

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24/7 Care

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Timely Care

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Proficiency

 in Python programming and relevant mathematical concepts.

Hands-on experience

 with generative AI, XAI, conversational AI, and LLMs.

Preparation for diverse career paths within the AI industry.
A deep understanding of AI fundamentals and advanced techniques.

Course Modules – 20 Hours

 

  1. Foundations of Data Science and Data Analytics (3 HOURS): Introduces the basic principles of data science and analytics, setting the stage for AI applications.
  2. AI, ML, and Deep Learning: Explained (6 HOURS): Demystifies artificial intelligence, machine learning, and deep learning, clarifying their concepts and relationships.
  3. Gen AI and LLM: Demystify (5 HOURS): Explores Generative AI and Large Language Models, explaining how they function and their potential applications.
  4. Computer Vision in AI (2 HOURS): Introduces computer vision techniques used in AI, covering image recognition and processing.
  5. 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?
The Advanced course goes deeper into AI concepts. While both cover fundamentals, the Advanced course delves into more complex algorithms (like transfer learning, Bayesian networks, and federated learning), more sophisticated AI agent types, and advanced knowledge representation techniques (Description Logics, Semantic Web Technologies). It also includes significantly more advanced applications of generative AI and LLMs, along with a more in-depth exploration of various deep learning architectures. The beginner course provides a foundational knowledge while the advanced course aims to build upon that foundation.
What are the specific programming and mathematical skills required or taught in this course?
The course requires prior knowledge of basic AI, computer programming, and mathematical concepts. It builds upon this by teaching advanced Python skills (including data manipulation using pandas and object-oriented programming), linear algebra, probability and statistics, and optimization techniques. The curriculum directly incorporates these mathematical and programming skills into practical applications within the AI concepts.
How does the course cover the practical application of Large Language Models (LLMs)?
The course goes beyond simply defining LLMs. It explores their architecture (specifically transformer-based architectures), compares them to small language models (SLMs), examines popular models like GPT-3, BERT, RoBERTa, and BLOOM, and focuses heavily on hands-on experience with LLM applications. This practical element is crucial to understanding and using these powerful models effectively.
What real-world applications of AI are explored in this advanced course?
The Advanced course features in-depth case studies and practical examples across multiple industries, including healthcare (medical imaging, diagnosis, therapy), finance (risk analysis, algorithmic trading, fraud detection), transportation (traffic optimization, driverless cars), and education (intelligent teaching systems, personalized learning). It also covers applications in chatbots, customer support, cybersecurity (malware identification, threat detection, vulnerability analysis), and business/marketing (personalized marketing, content generation).
What are the assessment methods and certification requirements for this advanced course?
Similar to the beginner course, this course uses module-end assessments and a final 30-minute course test. A minimum score of 70% on the final test is required to obtain the Professional Certificate of Completion. Students have a maximum of three attempts to pass the test; otherwise, they receive a Certificate of Participation.

Why Choose Us?

Accessibility and Convenience
Vibrant Community
Practical Focus

Company Profile

Contact us today!

Address
No. 816, RR Towers 5, 8th floor,
No.33A South phase, Guindy, Chennai
Contact
Mail : info@j2kai.com
Call : +91 86023 41638
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J2K AI System and Technologies empowers students with industry-focused AI training, blending hands-on experience with expert guidance to build successful careers in artificial intelligence.

Contact With Us!

Address:  816, RR Towers 5, 8th floor, 33A, South Phase, Guindy, Chennai, Tamil Nadu, 600032

Support mail:  info@j2kai.com

Call Us Directly: +91 8939311666

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