Diploma Program in Artificial Intelligence
We foster collaboration and innovation, empowering individuals to become engaged citizens and visionary leaders in the AI revolution
Our Approach
J2K AI HiTech Academy Post Graduate Diploma Program in Artificial Intelligence offers a comprehensive and practical learning experience designed to equip students with in-demand AI skills. Through a blend of online and offline learning, the program emphasizes hands-on experience, covering AI fundamentals, Generative AI, LLMs, and real-world AI applications. With a curriculum guided by industry experts, students gain proficiency in Python, machine learning, and ethical AI considerations, all within a vibrant and supportive community.
Our Goals
Our primary goal is to equip learners with a solid, industry-relevant foundation in artificial intelligence, enabling them to confidently apply AI techniques across a range of real-world scenarios. We aim to bridge the gap between theoretical knowledge and practical implementation by fostering skills in data analysis, predictive modeling, deep learning, natural language processing, computer vision, and AI deployment. By the end of the course, participants will not only understand how AI systems work but also be capable of building and managing intelligent solutions using leading frameworks like PyTorch and TensorFlow. Ultimately, we strive to develop AI practitioners who are prepared to innovate, solve problems, and lead in the rapidly evolving field of artificial intelligence.
Proficiency
in Python programming and relevant mathematical concepts.
Hands-on experience
with generative AI, XAI, conversational AI, and LLMs.
Gain Knowledge
of ethical considerations and societal impacts of AI.
Course Modules – 80 Hours
- Principles of AI for Data Science and Analytics (10 Hours): Introduction to fundamental AI principles for data analysis, covering key concepts in data science and analytics.
- Predictive Intelligence for AI (8 Hours): Focuses on using AI to develop predictive models, enabling forecasting and informed decision-making.
- PyTorch and TensorFlow (10 Hours): Learn the basics of PyTorch and TensorFlow, two leading frameworks for building and training AI models.
- Deep Learning for NLP (8 Hours): Explores deep learning techniques for natural language processing, including text analysis and language modeling.
- Deep Learning for Computer Vision (8 Hours): Covers deep learning methods applied to computer vision tasks, such as image recognition and object detection.
- MLOps and LLMOps (8 Hours): Introduces the practices of MLOps and LLMOps for managing and deploying machine learning and large language models.
- Prompt Engineering for GPT (6 Hours): Learn how to craft effective prompts for GPT models to generate desired outputs.
- Generative AI: Models and Architecture (8 Hours): Explores the models and architectures behind generative AI, enabling the creation of new content.
- AI Agents: Use Cases (6 Hours): This module covers the various use cases of AI agents in automating tasks and enhancing applications.
- Practical AI Applications (8 Hours): Apply AI skills to practical projects, providing hands-on experience with real-world AI applications.
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:
- Apply basic AI principles to analyze data and build simple predictive models.
- Implement and train elementary deep learning models using PyTorch and TensorFlow.
- Apply basic deep learning to process text and image data.
- Demonstrate a basic understanding of AI model deployment and management.
- Construct basic prompts for interacting with GPT models.
- Describe the fundamental architectures of generative AI models.
- Identify and describe common AI agent applications.
- Design basic AI solutions for real-world problems.
FAQs
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