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  • 50 Lessons
AI COURSES $700.00

AWS DEVOPS

AWS DevOps combines the power of Amazon Web Services with DevOps practices to automate and streamline software development, deployment, and infrastructure management. It enables faster delivery, continuous integration & deployment (CI/CD), infrastructure as code (IaC), and scalable cloud solutions using tools like AWS CodePipeline, EC2, S3, CloudFormation, and more.

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  • 0 Students
  • 45 Lessons
AI COURSES $700.00

PROMPT ENGINEERING

Prompt engineering is the practice of designing and refining instructions, or prompts, to get a desired output from a generative AI model. It's the process of giving an AI model clear, specific, and well-structured input to guide its response and improve its accuracy and relevance. Essentially, it's about crafting the best possible query to get the best possible answer from an AI.

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  • 0 Students
  • 50 Lessons
AI COURSES $500.00

DATA SCIENCE AI/ML

Data Science with AI/ML is a comprehensive course designed to build expertise in data analysis, machine learning, and artificial intelligence. Learners will gain hands-on experience with Python, data visualization, predictive modeling, deep learning, and real-time AI applications. This course is ideal for aspiring data scientists, analysts, and AI professionals aiming to work on real-world projects and build a strong career in data-driven technologies.

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  • 0 Students
  • 45 Lessons
AI COURSES $500.00

DIGITAL MARKETING WITH AI

Digital Marketing with AI is a future-focused course that combines core digital marketing strategies with cutting-edge artificial intelligence tools. Learn how to optimize campaigns, automate customer journeys, generate content, analyze data, and boost ROI using AI-powered platforms like ChatGPT, Google AI, and automation tools. Perfect for marketers, entrepreneurs, and students looking to stay ahead in the digital world.

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  • 0 Students
  • 60 Lessons
AI COURSES $1,000.00

FULL STACK AI

Data Science with AI & Machine Learning is a cutting-edge course that equips learners with the skills to analyze data, build predictive models, and make data-driven decisions using Python, machine learning algorithms, and AI techniques. The course covers data preprocessing, visualization, supervised & unsupervised learning, and real-time project applications, preparing students for careers in data science, AI, and analytics.

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