- Certification Course
Machine learning & Deep learning with python
Machine Learning & Deep Learning with Python is designed for learners who want to build practical skills and advance their careers in Artificial Intelligence, Machine Learning, Deep Learning, Data Science, and Python-based AI development.
8
Core Modules
Global
Certification
What You'll Learn
Course Objectives
Upon completion, students will be able to:
- Understand the fundamentals of Python programming and Object-Oriented Programming (OOP)
- Perform data analysis and preprocessing using NumPy and Pandas
- Create insightful data visualizations with Matplotlib
- Understand Machine Learning concepts, workflows, and model evaluation
- Build Supervised Machine Learning models for prediction and classification
- Understand Deep Learning fundamentals and Artificial Neural Networks (ANNs)
- Develop and train Deep Learning models using TensorFlow and Keras
- Apply AI, Machine Learning, and Deep Learning techniques to real-world datasets
- Build practical Machine Learning and Deep Learning projects using Python
About This Course
Course Description
Topics Covered:
Machine Learning & Deep Learning with Python is designed for all learners to develop and enhance professional careers in Artificial Intelligence, Machine Learning, Deep Learning, Data Science, and Python-based AI development. The course covers:
- Python programming for AI and Machine Learning
- Data analysis, visualization, and preprocessing techniques
- Machine Learning and predictive model development
- Deep Learning, neural networks, and AI applications
- Python Programming, Object-Oriented Programming (OOP) & Core Programming Concepts
- Data Analysis, Data Preprocessing & Visualization using NumPy, Pandas & Matplotlib
- Machine Learning Fundamentals, Model Development & Evaluation
- Supervised Machine Learning using Regression, Decision Trees & KNN
- Deep Learning, Artificial Neural Networks & Learning Algorithms
- TensorFlow, Keras & Neural Network Model Development
- Real-world AI Applications using Python and Industry-Standard Libraries
- Build and Deploy Practical Machine Learning & Deep Learning Projects
Learning Experience:
- 8 modules with hands-on practice, quizzes, and real-life programming tasks
- Practical exercises to develop skills in Generative and Agentic AI
- Python
Course Duration :
2 Months
Course Fees :
20k
Certification Aligned
- Microsoft Azure AI Fundamentals (AI-900): Demonstrates foundational knowledge of Artificial Intelligence, Machine Learning concepts, computer vision, natural language processing, and responsible AI practices.
- Machine Learning & Deep Learning with Python Certificate: Validates skills in Python programming, data analysis, machine learning model development, deep learning with TensorFlow and Keras, and building AI-powered applications using real-world datasets.
💼
Careers
Core Job Roles
Mastering these 8 modules qualifies you for several essential entry-level professional roles:
- Junior Machine Learning Engineer: Building and deploying machine learning models for prediction, classification, and data-driven solutions..
- Python AI Developer: Developing AI-powered applications using Python, NumPy, Pandas, TensorFlow, and Keras.
- Junior Data Scientist: Analyzing data, building predictive models, and extracting actionable insights from real-world datasets.
- AI & Deep Learning Associate: Designing, training, and evaluating neural networks for intelligent applications and automation.
- Data Analyst: Cleaning, visualizing, and interpreting data to support business decisions using Python and industry-standard libraries.
🏢
Where You Can Work
Top Companies & Market Opportunities
People with Machine Learning, Deep Learning, Artificial Intelligence, and Python development skills are in high demand across multiple technology sectors in 2026:
- Global Market:Leading organizations such as Systems Limited, 10Pearls, Tkxel, NetSol Technologies, and Contour Software actively seek professionals with Python, Machine Learning, and Artificial Intelligence skills for data analytics, predictive modeling, intelligent automation, computer vision, and AI-powered software development projects.
- Pakistan Market: Leading organizations such as Systems Limited, 10Pearls, Tkxel, NetSol Technologies, Arbisoft, VentureDive, and Contour Software are increasingly exploring Generative AI applications, intelligent automation, AI copilots, and AI-powered business solutions.
- Freelancing: A growing market exists on platforms like Upwork and Fiverr for machine learning model development, data analysis, AI chatbot creation, computer vision solutions, predictive analytics, and Python-based automation projects for international clients.
👥
Who can Join
Target Audience
This course is suitable for:
- Students and fresh graduates interested in Artificial Intelligence, Machine Learning, and Data Science
- Data analysts who want to develop predictive modeling and machine learning expertise
- Individuals preparing for careers in Machine Learning, Data Science, and Artificial Intelligence
- IT professionals exploring AI-powered automation
- Anyone with basic computer knowledge who wants to build a career in AI and emerging technologies.
What's Next
Future Career Paths & Advanced Specializations
After completing these core modules, you will have the foundation required to transition into the highest-paying sector of 2026:
- Machine Learning Engineering: Build predictive models and intelligent systems using modern machine learning algorithms and Python.
- Data Science & Advanced Analytics: Transform raw data into actionable insights through data analysis, visualization, and predictive modeling.
- Deep Learning & Neural Networks: Design, train, and optimize neural networks for computer vision, NLP, and intelligent AI applications.
- Computer Vision & Natural Language Processing (NLP): Develop AI solutions that analyze images, videos, text, and human language.
- AI Engineering & MLOps: Build, deploy, and maintain scalable AI and Machine Learning solutions using industry-standard tools and frameworks.
This course is your “entry ticket” to the global tech industry; these specializations are where the highest earning potential lies.
📚 Course Modules
- Python Programming Fundamentals & Core Programming Concepts
- Object-Oriented Programming (OOP) with Python
- Data Analysis using NumPy & Pandas
- Data Visualization with Matplotlib
- Machine Learning Fundamentals & Model Development
- Supervised Machine Learning using Regression, Decision Trees & KNN
- Deep Learning Fundamentals, Neural Networks & TensorFlow
- Building & Deploying Real-World Machine Learning and Deep Learning Projects
📋 Prerequisites
- No prerequisites required
- Basic math and computer usage knowledge recommended
💻 Hardware & Software System Requirements
- Laptop/PC with Intel i3 (i5 Recommended)
- 4 GB RAM (8 GB recommended)
- 128 GB storage
- Windows / Linux / macOS
- Python + IDE (VS Code / PyCharm / Jupiter) – available online
- Internet connection
Course Details
Course Duration
2 months
Days
Mon-Tue-Wed
Timings
5:00 – 7:00 PM
Batch Type
Online / Class Room
Course Duration
2 months
Batch Type
Online
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