| Course Name | Duration | Classes | Total Fee | Mode of Training | Class Timing |
|---|---|---|---|---|---|
|
AI and Big Data |
3-4 Months |
60 |
60,000 PKR |
Online & Face-to-Face |
To be decided mutually with students |
AI and Big Data Training Certification Course
- AI means Artificial Intelligence. It helps machines to think like humans. This course teaches how AI works in real life.
- Big Data means very large data. It is too big for normal computers. This course explains how to handle big data.
- AI and Big Data work together. AI learns from data to make decisions. Big Data gives AI the knowledge it needs.
- The course shows simple AI tools. It also explains how to analyze data. Students learn step by step with examples.
- AI can be used in health, business, and education. Big Data helps in shopping, banking, and science. The course gives real life uses in easy words.
- This course teaches problem solving. Students learn to find patterns in data. They also learn to make smart solutions.
- AI and Big Data course builds future skills. It is useful for jobs and technology growth. It makes learning fun and very easy.
Advantages of AI and Big Data Course:
- AI and Big Data course helps us learn new technology. It makes us ready for the future job market. We get knowledge about smart machines and data.
- This course improves problem-solving skills. We learn how to find answers from big data. It helps us think in a smart and simple way.
- It gives us better career opportunities. Many companies need AI and Big Data experts. We can get good jobs with high salaries.
- This course teaches us about real-life uses. Like AI in health, business, and education. We see how technology helps people daily.
- We learn how to handle and analyze data. Big Data tells us hidden patterns in numbers. It makes us understand information better.
- The course improves decision-making skills. We can make fast and correct choices with AI. It saves time and reduces mistakes.
- AI and Big Data course builds confidence. We feel ready to work with new ideas. It prepares us for a modern digital world.
AI and Big Data Training Certification Course Outline
This course will teach what Artificial Intelligence (AI) is and how it works in daily life. You will learn about Big Data and how large amounts of information are used. The course will show simple tools and examples to understand AI and Data. At the end, you will know how AI and Big Data help in jobs, business, and future life.
Module 1: Introduction to Big Data & AI
What is Big Data and why it matters
What is Artificial Intelligence in simple words
How both work together in daily life
Course roadmap and learning goals
Module 2: Big Data Basics
Types of data: structured & unstructured
Sources of Big Data in real life
How Big Data is collected and stored
Challenges of handling large data
Module 3: Big Data Tools & Technologies
Introduction to Hadoop & Spark
Basics of cloud storage for data
Understanding databases (SQL & NoSQL)
Data pipelines in simple steps
Module 4: Data Preprocessing & Cleaning
Why clean data is important
Removing errors and missing values
Organizing data for analysis
Tools for preprocessing (Python, Excel)
Module 5: Data Visualization
What is data visualization
Charts, graphs, and dashboards basics
Tools: Tableau, Power BI, Matplotlib
Importance of storytelling with data
Module 6: Introduction to AI & Machine Learning
Difference between AI, ML, and Deep Learning
How machines learn from data
Supervised vs Unsupervised learning
Real-world uses of ML models
Module 7: Machine Learning Algorithms
Basics of regression and classification
Decision trees and clustering
Neural networks intro in simple form
When to use which algorithm
Module 8: AI & Big Data Applications
AI in healthcare, finance, and transport
Big Data in social media and marketing
Recommendation systems (Netflix, YouTube)
Smart cities and IoT examples
Module 9: Natural Language Processing (NLP)
What is NLP in easy words
How chatbots and voice assistants work
Text analysis and sentiment detection
Common NLP tools (NLTK, SpaCy)
Module 10: Computer Vision Basics
What is computer vision
Image recognition and object detection
AI in cameras and self-driving cars
Tools: OpenCV and TensorFlow
Module 11: Big Data & AI in Cloud
Cloud storage for Big Data
AI services in cloud (AWS, Azure, GCP)
Easy deployment of AI models
Scalability for businesses
Module 12: Ethics & Future of AI & Big Data
Importance of data privacy
AI bias and fairness issues
Responsible use of Big Data
Future trends in AI & Big Data
Module 13: Certification Module
Revise all course modules
Hands-on project with AI or Big Data
Presentation of work for assessment
Earn your professional certificate
Experience and Inspiring Trainers:
Real-time Practice and Projects:
Prerequisites for AI and Big Data Course:
- You should know basic computer skills. Like typing, using internet and saving files. This helps you work easily on projects.
- You need to learn simple math. Addition, subtraction, multiplication and division. This makes big data and AI easier to understand.
- You must know basic statistics. Like average, percentage and simple graphs. It helps in analyzing data correctly.
- You should understand logic thinking. Like finding patterns and solving problems. It is important for AI and coding.
- You need basic knowledge of programming. Languages like Python are most helpful. It is used in AI and Big Data tools.
- You should know about databases. Like storing and searching information. This is useful for managing big data.
- You must have interest in learning. AI and Big Data keep changing fast. Curiosity and practice will make you successful.
- No prior experience in AI and Big Data is required, but having these basics will help in grasping concepts faster.
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