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Eduarn: AI & Data Engineering with PySpark

Master AI & Data Engineering with PySpark

Build Real-World Project-Based Solutions in Big Data, PySpark, and Large Language Models (LLMs). Your path to becoming an in-demand AI Engineer or Data Engineer starts here.

Why Eduarn's AI & Data Engineering Course?

💡

High-Demand Skills

Master PySpark, the industry standard for Big Data processing, and integrate with advanced Large Language Models (LLMs) like Cohere and Hugging Face. Become an expert in scalable data solutions.

🛠️

Real-World Project-Based Learning

Move beyond theory. Build 5+ hands-on projects that directly reflect industry challenges, giving you tangible experience in AI Engineering and Data Engineering.

🚀

Accelerate Your Career

Position yourself for top roles as an AI Engineer, Data Engineer, or Big Data Engineer in leading tech companies. Build a powerful, job-ready portfolio.

Your Comprehensive Course Modules

Module 1:

Data Engineering Foundations

Lay the groundwork for your Data Engineering career. Understand the full data lifecycle, from ingestion to serving, and the core challenges of Big Data. This module is crucial for anyone aiming to build scalable data solutions.

  • Introduction to Data Engineering roles and responsibilities.
  • Batch vs. Streaming data paradigms, Data Warehouses vs. Data Lakes.
  • Practical data ingestion techniques and tools.
  • Mastering ETL/ELT processes for data transformation.

Module 2:

Apache Spark & PySpark Mastery

Become proficient in Apache Spark and its Python API, PySpark, the industry standard for Big Data processing. Learn to handle massive datasets with unparalleled speed and efficiency.

  • Understanding Spark Architecture and its core components.
  • Hands-on with PySpark RDDs and PySpark DataFrames.
  • Advanced Spark SQL for data querying.
  • Strategies for performance tuning in large-scale PySpark applications.

Module 3:

AI & Large Language Models (LLMs)

Dive into the exciting world of Artificial Intelligence and Large Language Models (LLMs). Learn the fundamentals of NLP and how to integrate powerful models like Cohere and Hugging Face.

  • Fundamentals of AI, Machine Learning, and Deep Learning.
  • Key concepts in Natural Language Processing (NLP).
  • Practical integration with Cohere LLMs and Hugging Face.
  • Data Preparation for LLMs with PySpark.

Module 4:

Building & Deploying AI Applications

Learn to bring your AI Engineering projects to life. This module covers Prompt Engineering, seamless API Integration, building intuitive frontends with Gradio, and deploying your AI applications.

  • Mastering Prompt Engineering for effective LLM interactions.
  • Seamless API integration for external AI services.
  • Rapid prototyping of AI apps with Gradio.
  • Training models efficiently using Google Colab.
  • Introduction to model deployment strategies for scalable AI solutions.

Module 5:

Real-World Project Portfolio & Benefits

This is where theory meets practice! Build a robust portfolio with 5+ hands-on projects that simulate real-world AI Engineering and Data Engineering challenges.

  • End-to-end Big Data ETL pipelines.
  • Scalable Sentiment Analysis with LLMs.
  • Intelligent Q&A and Text Summarization applications.
  • Building Custom Chatbots and Data Quality Monitoring dashboards.

Your Future as an AI & Data Engineer Starts Here!

Don't just learn; build your expertise with real-world projects in PySpark, Big Data, and LLMs. Gain the skills demanded by today's top tech companies.

Enroll Now and Secure Your Spot!

Limited-time offer: Get 65% off your enrollment!

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🎓 How Eduarn LMS Works for Students & Trainers

Eduarn LMS is a modern training and mentorship system designed to streamline learning, communication, and certification — all in one platform.

👩‍🎓 Student Learning Experience

  • Sign Up: Quick registration with email confirmation.
  • Access Dashboard: View courses, session schedules, notes, and progress.
  • Join Live Classes: Attend instructor-led Zoom/MS Teams sessions (with auto-attendance).
  • Course Materials: Downloadable notes, recorded videos, diagrams, and lab exercises.
  • Assignments & Quizzes: Regular practice tests, weekly assignments, and feedback.
  • Feedback & Support: Submit doubts, feedback, and connect with mentors.
  • Course Progress: Track module completion and participation.
  • Certification: Earn a Course Completion Certificate after final project/test.

🧑‍🏫 Trainer & Admin Panel Features

  • Trainer Dashboard: Manage courses, session schedules, attendance, and feedback.
  • Upload Resources: Notes, videos, assignments, quizzes per module.
  • Track Student Activity: Real-time insights into login activity, progress, and quiz scores.
  • Evaluate Submissions: Grade assignments, provide inline feedback, and track attempts.
  • Certificate Generator: Automatically issue completion certificates to students who qualify.