Program Information Technology with Artificial Intelligence Training
The Program in Information Technology with Artificial Intelligence (PITAI) at Educad Academy is a complete IT and AI training program designed for beginners and intermediates. This course covers IT fundamentals, including hardware, software, networking, databases, and Python programming, combined with artificial intelligence training in machine learning, data science, deep learning, NLP, and computer vision. Students gain hands on experience with tools like SQL, Python, Pandas, TensorFlow, Keras, and OpenCV through practical labs and projects. The program ends with a capstone AI project, preparing learners for careers in IT, data science, and artificial intelligence.
What You Will Learn:
- Understand IT fundamentals including hardware, software, operating systems, and networking.
- Manage and work with databases using SQL for queries, joins, and data manipulation.
- Write and execute Python programs for automation, problem-solving, and AI applications.
- Explore the basics of Artificial Intelligence and Machine Learning with real examples.
- Use data preprocessing and visualization tools like Pandas, NumPy, and Matplotlib.
- Build simple models with Scikit-learn, TensorFlow, and Keras.
- Apply Natural Language Processing (NLP) for tasks like sentiment analysis.
- Learn computer vision techniques using OpenCV and AI models.
- Complete a capstone project that connects IT skills with AI solutions.
Course Content:
Module 1
- Introduction to Information Technology & Artificial Intelligence
- Overview of Hardware, Software, Networking
- Introduction to AI, ML, and Data Science Key Concepts & Applications
Module 2
- Operating Systems (Windows/Linux) Essentials
- Hands on File Management, Command Line Basics
- AI Applications in Operating Systems
Module 3
- Computer Networking Fundamentals
- Hands on IP Addressing, Subnetting, Internet Protocols
- AI in Networking and Cybersecurity
Module 4
- Database Management Systems (DBMS)
- Hands on with SQL Queries, Joins, Data Manipulation
- AI in Database Optimization
Module 5
- Programming Foundations (Python) Part 1
- Data Types, Variables, Conditions, Loops
- Hands-on Coding Exercises
Module 6
- Programming Foundations (Python) Part 2
- Functions, File Handling, Error Handling
- Mini Project: Simple Automation Task
Module 7
- AI & Machine Learning Basics
- Supervised vs. Unsupervised Learning
- Hands-on with Scikit-learn: Basic Models
Module 8
- Data Preprocessing & Visualization
- Numpy, Pandas, Matplotlib/Seaborn
- Hands-on: Cleaning and Visualizing Data
Module 9
- Deep Learning Introduction
- Neural Networks, Activation Functions
- Hands-on with TensorFlow/Keras (Basic Model)
Module 10
- Natural Language Processing (NLP) Basics
- Text Preprocessing, Tokenization, Word Embeddings
- Hands-on: Sentiment Analysis Project
Module 11
- Computer Vision Basics
- Image Processing, Feature Extraction
- Hands-on with OpenCV & AI Models
Module 12
- Capstone Project – AI Application in IT
- Project Presentation & Assessment
- Career Guidance & Next Steps in AI/IT
Eligibility:
- Grade 8 / Matriculation, Intermediate, or any other equivalent education.
International Student Fee: 150 USD
Flexible Class Options
- Corporate Group Training | Fast-Track
- Weekend Classes For Professionals SAT | SUN
- Online Classes – Live Virtual Class (L.V.C), Online Training
Related Courses
Information Technology (CIT) Training Course
Diploma in Artificial Intelligence & Machine Learning
Artificial Intelligence (AI) for Beginners Training Course
