Our Approach
This course adopts a structured yet advanced approach to developing AI proficiency, focusing on high-impact applications across data science, generative AI, computer vision, and AI agents. Spanning 30 hours, the program blends conceptual clarity with practical illustrations, ensuring learners not only understand advanced AI, ML, and deep learning frameworks but also how to apply them effectively in real-world contexts. Through interactive modules and hands-on prompting techniques with GPTs, learners are equipped to harness the full power of AI tools for analytical reasoning, automation, and innovation. Our learner-centric model emphasizes depth, relevance, and adaptability to prepare participants for the dynamic demands of AI-driven industries.
Our Goals
The goal of this course is to equip learners with advanced knowledge and practical skills in key areas of artificial intelligence, enabling them to drive innovation and efficiency across industries. We aim to deepen understanding of how AI enhances data analytics, demystify complex technologies like Generative AI and Large Language Models, and empower learners to master prompt engineering and computer vision techniques. By highlighting the transformative role of AI agents in real-world scenarios, the course prepares participants to confidently design, implement, and optimize AI solutions that address modern business challenges and technological needs.
Course Modules – 30 Hours
- AI for Data Science and Data Analytics (5 HOURS): This module explores how AI techniques enhance data science and analytics, enabling deeper insights.
- AI, ML, and Deep Learning: Illustrated (6 HOURS): Provides detailed illustrations of AI, machine learning, and deep learning concepts, showing advanced applications.
- Gen AI and LLM: Demystify (5 HOURS): This module explains the complexities of Generative AI and Large Language Models, revealing advanced functionalities.
- Computer Vision in AI (4 HOURS): This module advances computer vision techniques within AI, enabling sophisticated image analysis and applications.
- Prompting Technique with GPTs (4 HOURS): Focuses on advanced prompt engineering techniques for GPT models, optimizing AI outputs for specific tasks.
- AI Agents: Industry Applications (6 HOURS): Covers advanced applications of AI Agents across industries, highlighting their transformative impact.
Learning Outcomes
By the end of this 30-hour course, learners will be able to:
- Apply AI techniques to enhance data science and analytics for extracting meaningful insights.
- Differentiate between AI, machine learning, and deep learning with a clear understanding of their roles and advanced applications.
- Explain the architecture and functionality of Generative AI and Large Language Models (LLMs).
- Utilize computer vision techniques for advanced image analysis and AI-powered visual applications.
- Craft effective prompts for GPT models to optimize AI-generated outputs across various tasks.
- Identify and implement AI agent solutions in industry-relevant scenarios to automate processes and improve outcomes.
FAQs
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