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Artificial Intelligence (AI) Job Seeker’s Package

Want to start a career in Artificial Intelligence? This AI Job Seeker’s Package gives you all the tools, skills, and guidance you need to begin your journey in the fast-growing world of AI. Whether you're a student, working professional, or career switcher, this program is your first step toward a high-demand and rewarding role in Artificial Intelligence.

• Comprehensive AI learning curriculum.
• Beginner-friendly and structured content.
• Hands-on practical projects and real datasets.
• Machine Learning & Generative AI exposure.
• Resume and interview preparation (International standard).
• Step-by-step AI career roadmap.

Module 1: AI Foundations & Industry Overview

  • What is Artificial Intelligence
  • AI vs ML vs Deep Learning
  • Types of AI
  • AI lifecycle
  • AI job roles (AI Engineer, ML Engineer, Data Scientist)
  • Hiring expectations in USA, Canada, UK
Industry Exposure:
  • Google
  • Microsoft
  • Amazon
  • DeepMind
Practical:
  • Install Python
  • Setup Anaconda
  • Setup Jupyter Notebook
  • GitHub account creation

Module 2: Python Programming for AI

  • Variables & Data types
  • Loops & Conditions
  • Functions
  • OOP basics
  • Exception handling

Libraries:

  • NumPy
  • Pandas
  • Matplotlib

Practical:

  • Data cleaning project
  • CSV dataset analysis
  • Data visualization mini project

Module 3: Mathematics & Statistics for Machine Learning

  • Mean, Median, Mode
  • Standard Deviation
  • Probability basics
  • Correlation
  • Linear Algebra basics
Practical:
  • Statistical analysis using real dataset

Module 4: Machine Learning Core

  • Supervised Learning
  • Unsupervised Learning
  • Overfitting & Underfitting
  • Model evaluation metrics
Algorithms:
  • Linear Regression
  • Logistic Regression
  • KNN
  • Decision Tree
  • Random Forest
Practical Projects:
  • Student performance prediction
  • Spam email classifier
  • Customer segmentation model

Module 5: Deep Learning Basics

  • Neural Networks
  • Activation functions
  • Backpropagation
  • CNN overview
  • RNN overview
Tools:
  • TensorFlow
  • PyTorch
Practical:
  • Handwritten digit recognition project

Module 6: Generative AI & Large Language Models

  • What is Generative AI
  • What are LLMs
  • Prompt Engineering
  • API integration basics
  • AI automation concepts
Platforms:
  • OpenAI
  • Google
Practical:
  • AI Chatbot development
  • Resume improvement tool
  • AI Job Assistant

Module 7: Capstone Project & Deployment

  • End-to-end AI project
  • Model deployment using Streamlit
  • GitHub project upload
  • Documentation writing

The Course Prepairs You For

  • SOC Analyst Level 1
  • Security Monitoring Analyst
  • SIEM Analyst (Junior)
  • Cybersecurity Trainee

Book Your Trial Demo Class

Email : info@multicoreit.com

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