AI Learning Path for techies and non techies : No coding skill required. (Hindi)
Welcome! In this video, the focus is on building a powerful and structured AI learning strategy, alongside recommended certification paths for AI proficiency, and practical insights into n8n workflow automation.
AI Learning Strategy & Path:
Understand the foundational AI concepts including machine learning, deep learning, and generative AI.
Follow a step-by-step certification path starting with fundamentals like Microsoft Azure AI Fundamentals (AI-900) or AWS Certified AI Practitioner.
Emphasize hands-on practice with cloud AI services (Azure, AWS) and open-source tools.
Learn about key AI topics such as data preparation, model training, evaluation, and responsible AI practices.
Certification Guidance:
Explore entry-level certifications like AI-900 and AWS AI Practitioner to validate foundational knowledge.
Progress to specialized certifications in machine learning, data science, or AI engineering as per your career goals.
Tips on study resources, exam preparation strategies, and how to balance theory with practical implementation.
n8n Workflow Automation:
Introduction to n8n as an open-source workflow automation tool for integrating APIs and automating cloud services.
How to set up workflows to streamline AI tasks, data processing, and notification systems.
Practical tips for managing triggers, error handling, and best practices in workflow design.
By combining AI learning with workflow automation skills, you can accelerate your tech career and build impactful AI-driven solutions. Don’t forget to like, subscribe, and share for more deep dives into AI and automation technologies!