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If you’re living with significant pain and discomfort from an orthopedic(musculoskeletal) condition, you know firsthand how much it can affect your quality of life. Seemingly simple tasks like walking, climbing stairs or evenstanding become much more difficult. On a positive note, our bone, joint and muscle specialists are here to get you moving again.
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
The program’s unique approach combines a structured curriculum with personalized attention, ensuring that each student can progress from beginner to advanced AI concepts. The program is divided into nine modules. Intensive training, small batch sizes, and flexible scheduling options cater to diverse learning styles and busy schedules. Graduates emerge prepared for various roles, including AI Engineer, Data Scientist, and Machine Learning Engineer, ready to drive innovation across industries.
Course Modules – 120 Hours
- AI for Data Science and Analytics (15 HOURS): This module introduces core AI techniques used in data science, covering analytics, data manipulation, and insights extraction.
- Real-time Predictive Intelligence for AI (10 HOURS): Learn how to build AI models for real-time predictions, enabling immediate insights and decision-making.
- Neural Networks and Deep Learning (15 HOURS): Explore the fundamentals of neural networks and deep learning architectures, essential for complex AI tasks.
- Deep Q-Networks with PyTorch and TensorFlow (15 HOURS): Dive into reinforcement learning with Deep Q-Networks using popular frameworks like PyTorch and TensorFlow.
- Natural Language Processing (NLP) and Large Language Models (LLM) (10 HOURS): This module covers NLP techniques and the application of large language models for text analysis and generation.
- Prompt Engineering for AI Applications (8 HOURS): Learn to craft effective prompts to optimize the performance of AI models, particularly for language-based tasks.
- ConvNets and Computer Vision (8 HOURS): Explore Convolutional Neural Networks (ConvNets) and their applications in image recognition and computer vision tasks.
- GenAI: Designing with Generative AI (10 HOURS): This module focuses on using generative AI models to create new content, designs, and solutions.
- Agentic AI: Automating with AI Agents and beyond (15 HOURS): Discover how to automate tasks and processes using AI agents and advanced AI technologies.
- Practical AI Applications (14 HOURS): Apply your AI skills to real-world projects and case studies, gaining hands-on experience in diverse 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:
- Architected comprehensive machine learning pipelines integrating advanced preprocessing techniques and robust deployment strategies.
- Develop and optimize sophisticated deep learning architectures using PyTorch and TensorFlow for complex tasks.
- Engineer and systematically refine context-aware prompts for large language models across diverse applications.
- Design scalable real-time predictive intelligence systems with low-latency inference for streaming data environments.
- Design autonomous AI agents for complex decision-making environments utilizing reinforcement learning and planning algorithms.
- Implement computer vision and NLP models using deep learning frameworks for multimodal data analysis.
- Implement industry-specific Generative AI solutions addressing ethical considerations, bias mitigation, and regulatory compliance requirements.
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FAQs About The Service
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