Certificate Courses

Introduction to Data Science

Cortechma Academy offers a set of individual certificate courses in the area of data science and artificial intelligence that teach trainees high-demand and state-of the-art knowledge and skills in today’s job market.

The curriculum of each data science and Artificial intelligence course is designed to include the most required knowledge and expertise in a short period of time with the minimum expenses for students. We customize each course’s contents according to every student’s needs and abilities.

These certificate courses are also proper for data and machine learning scientists, data engineers, analysts and developers who are looking for higher knowledge and hands-on skills. Each certificate course comprises instructor led classes and practical labs to enhance learners’ hands-on skills. All courses are available at basic and advanced level.

Introduction to Data Science Course Main Topics:

  1. An Overview on Data Science.
  2. Data Science Projects Cycles.
  3. Data Warehousing and Database Programming.
  4. Descriptive Data Analysis.
  5. Statistical Modeling.
  6. Overview on Machine Learning.
  7. Overview on Artificial Intelligence.
  8. Python Coding.

Introduction to Machine Learning

The Machine Learning course covers algorithms for data analysis and building different types of predictive models in a wide range of applications. Students will develop several ML models in this course that can be used as templates for their future real-world projects in industries.

Introduction to Machine Learning Course Main Topics

  1. An Overview on Machine Learning.
  2. Supervise and Un-supervised Learning Algorithms.
  3. Classification and Regression Algorithms.
  4. Python Programming and Libraries for Machine Learning.
  5. Data Summarization and Visualization.
  6. Sample Classification Algorithms and Project.
  7. Sample Regression Algorithms and Project.
  8. Sample Un-supervised Learning Algorithms and Project.

Advanced Machine Learning

This course includes advanced topics in Machine Learning. Students learn about the whole cycles of Machine Learning projects and how develop, test and validate, and finally deploy variety of predictive models using different ML algorithms.

Advanced Machine Learning Course Main Topics

  1. Different stages of a Machine Learning Project.
  2. Data Collection and Pre-Processing.
  3. Feature Engineering.
  4. Model Developments and Practical Projects.
  5. ML Models Hyper-tuning methods.
  6. Test and Validation of ML Models.
  7. Deployment of ML Models.
  8. Course Final Project.

Introduction to Deep Learning

This course will help you to realize the algorithms, structures, features, and capabilities of deep learning technologies and prepare you to participate in the development of leading-edge solutions. The course is completely hands-on and practical projects-based, and students will work on coding and development of several projects using deep learning algorithms.

Introduction to Deep Learning Course Main Topics

  1. An Overview on Deep Learning Algorithms.
  2. Deep Artificial Neural Networks.
  3. Python Libraries for Deep Learning.
  4. Deep Neural Networks Optimization.
  5. Deep Neural Networks Regularization.
  6. Recurrent Neural Networks (RNN).
  7. Applications of Deep Learning.
  8. Course Final Project.

Advanced Deep Learning

This course covers state-of-the-art deep learning technologies such as Convolutional Neural Networks (CNN) and Long-Short-Term-Memory (LSTM) algorithms. Students will learn about the structure, topology, features, parameters setup and training of the algorithms in this course. Classes are completely instructor-led and lab-based and attendees will work on several deep learning algorithms use-cases.

Advanced Deep Learning Course Main Topics

  1. Convolutional Neural Networks (CNN).
  2. Image classification with Keras.
  3. Long-Short-Term-Memory (LSTM) Algorithms.
  4. Time-series prediction using LSTM.
  5. Introduction to Reinforcement Learning.
  6. Course Final Project.

Natural Language Processing

In this course students learn cutting-edge Natural Language Processing (NLP) techniques to process and analyze text. This course introduces Natural Language Processing using python and the Natural Language Tool Kit. Students will work in lab-based classes through a hands-on and practical approach.

Natural Language Processing Course Main Topics

  1. An Overview on Natural Language Processing (NLP).
  2. Python Natural Language Tool Kit (NLTK).
  3. Basic Word Processing and Tokenization.
  4. Stemming and Lemmatization
  5. Tagging and Chunking.
  6. Sentiment Analysis.
  7. Course Final Project.

Recommendation Systems

This course includes complete topics to learn the basics of recommender systems, their applications and building it from scratch with python. Every session has engaging content covering necessary theoretical concepts with a complete hands-on approach.

Recommendation Systems Course Main Topics

  1. An Overview on Recommendation Systems.
  2. Python Recommendation Systems Libraries.
  3. Basic of Recommendation Systems.
  4. Content-based Filtering.
  5. Collaborative Filtering.
  6. Machine Learning for Recommender System.
  7. Course Final Project.

Business Intelligence

This course equips students with the proficiency to turn historical data into valuable business insights, improvement of organizations decision making to achieve desired KPIs. Learners will work in labs with BI tools to ingest different datasets, perform analysis, generate statistics, visualization and required reports.

Business Intelligence Course Main Topics

  1. An Introduction on Business Intelligence.
  2. Introduction to Data and Data Science.
  3. Statistical Analysis.
  4. Different Sources of Data.
  5. SQL Database.
  6. Business Intelligence Tools.
  7. Course Final Project.

Software Development

Cortechma Academy offers a complete set of individual certificate courses in the area of software developing that teach trainees high-demand knowledge and skills in today’s job market. Software programming courses cover advanced programming techniques based on structured and object-oriented approaches.

The curriculum of each software programming course is designed to include the most required knowledge and expertise in a short period of time with the minimum expenses for students. We customize each course’s contents according to every student’s needs and abilities.

These certificate courses are also proper for programmers, software developers, computer engineers and scientists who are looking for higher knowledge and hands-on skills. Each certificate course comprises instructor led classes and practical labs to enhance learners’ hands-on skills. All courses are available at basic and advanced levels.

Software Development Course Main Topics

  1. An Introduction on Software Development.
  2. An Introduction to Python Programming.
  3. Python Installation, Setup, and IDEs.
  4. Variable Types.
  5. Data Types and Structures.
  6. If Conditional Statement.
  7. Loops in Python Coding.
  8. Arrays in Python.
  9. Input Statements.
  10. Python Libraries.

Mobile Apps Development

In this course, Students will learn to develop exciting and attractive mobile applications. Cortechma academy has experienced and expert instructors to present the personalized course according to the student’s needs along with hands-on exposure on real-world projects of the Mobile App Course Curriculum. The attendees get proficiency in fundamentals and advanced android and iOS applications development along with their user interfaces implementation. Enroll in Cortechma mobile apps development courses to build your first application and get promising career growth.

Mobile Apps Development Course Main Topics

Introduction to Mobile Applications Development:

  1. Overview on mobile applications development.
  2. Theory of application development for mobile platforms.
  3. Understanding fundamentals of application development software.
  4. Introduction to smartphone, tablet, and laptop applications development.

Course Topics for Specific Mobile OS

Android Applications Development:

  1. History of Android OS.
  2. Understanding the Android OS platform.
  3. Architecture of Android-based Devices.
  4. Understanding the Fundamentals of Java Programming.
  5. Building Basic Mobile Apps Using Java.
  6. Android Applications Structure.
  7. Apps User Interface Designing.
  8. How to Update Android Applications.

iOS Applications Development:

  1. History of iOS Platform.
  2. Architecture of Apple Devices.
  3. Understanding the Swift.
  4. Application Development with Swift.
  5. Understanding Fundamentals of Objective-C.
  6. Applications Development Using Objective-C.

Introduction to Robotics

This course will enable students to learn about the history, the present, and the future of robotic systems.  Attendees will learn about the fundamentals of robotics systems, types of robots and their control systems. It will also take students through the robotic applications and its industrial usage and get them familiar with robotic systems software programming tools.

Introduction to Robotics Course Main Topics:

  1. Overview of Robotics Systems and their Applications.
  2. History and Applications of Robotic Systems.
  3. Overview of Different Types of Robots and their Applications.
  4. Fundamentals of Robotics Systems and their Controls.
  5. Introduction to Robotics Software Development Tools.
  6. Future of Robotics.

Advanced Robotics

In Advanced Robotics course, students will learn about the Robot Manipulators, Robotic systems structures, and their control strategies and programming software.

Finally, the role and applications of Artificial Intelligence technologies in Robotic Systems will be introduced.

Advanced Robotics Course Main Topics:

  1. Overview of Robot Manipulator Structures, Statics and Dynamics.
  2. Robotic Systems Control Strategies.
  3. Robotic Systems Structures and Main Components.
  4. Robotics Systems Programming Tools.
  5. Introduction to Robot Simulation Software.
  6. Artificial Intelligence in Robotics.