We are open for

Employable skills and hands on practice for Web Development, Graphic Designing and Mobile App Development 

The main goal of this course is to help students learn, understand, and practice big data analytics and machine learning approaches, which include the study of modern computing big data technologies and scaling up machine learning techniques focusing on industry applications. Mainly the course objectives are conceptualization and summarization of big data and machine learning, trivial data versus big data, big data computing technologies, machine learning techniques, and scaling up machine learning approaches.

Job demand:

According to research, there is a demand for 337,400 Worldwide jobs in data. In Pakistan Starting from 80,000 PKR per month with 6-month experience.

 

 This course is designed for: 

Category 1: B. Com / BBA/ MBA Students.

Category 2: BS/MS (IT CS SE) Students – Students in Bachelors and Masters (Final Semester)

Category 3: Business Executives (MBA Executives).

Category 4: Data analyst inspires and Freshers.   

 

Course Duration: 2 Months 

Class Timings: 6 pm – 9 pm (2 days a week) Monday Tuesday Lab (3 days) 

Teaching Methods: Physical as well as Online.  

Course fee: 7500 PKR / Month + 1000 Registration. 

 

What student could do after this course? 

 

  1. Hands-on, project-based learning.
  2. Mastering Data analysis, data modeling, dashboard design, and business intelligence skills.
  3. For Professionals looking to master the front-end data analysis tool.
  4. Can pursue a career in data analysis, Business Analysis, and business intelligence consultancy.

What We Offer: 

Maqssoft Training Certificate.

Practice Files.  

Live + recorded Lectures.  

Top Students will be referred to an internship leading to jobs (in Leading companies).  

 

 

 

 

Graphic Design

Graphic Design offers a broad, cross-disciplinary learning experience for students looking to pursue careers in Advertising Design, Graphic Design, video editing, and Illustration, to name a few — all disciplines that focus on effective and arresting visual communication. The course is designed to span a wide range of visual communication in a digital platform. In this course, students are introduced to key aspects of the design process, from research/strategy, creative brief development, and campaign development to teamwork and presentation and content creation so that they can enter the design market as strong candidates for beginner to intermediate level design jobs.

 

Employable skills and hands on practice for Artificial Intelligence, including specialization in NLP or computer vision 

The aim for the team of staff responsible for delivery of the advanced IT curriculum is to provide knowledge and develop skills related to the IT. The course will allow participants to gain a comprehensive understanding of all the aspects. It will also develop the participant’s ability to act in a professional and responsible manner. Teaching staff will provide the technical knowledge and abilities required to solve tasks and problems that are goal-oriented. They will use participant-centered, practically oriented methods. They will also develop a program of practical assessment that reflects the learning outcomes stated in the curriculum. Trainees of the IT curriculum will also develop their willingness and ability as individuals to clarify issues, as well as think through and assess development opportunities. Teaching staff will also support trainees in developing characteristics such as self-reliance, reliability, responsibility, a sense of duty, and a willingness and ability to criticize and accept criticism well and to adapt their future behavior accordingly. Teaching staff also use the IT curriculum to address the development of professional competence. Trainees will acquire the ability to work in a professional environment. By the end of this course, the trainees should gain the following competencies: 

  1. Understanding of core concepts of artificial intelligence and machine learning 
  2.  State of the art machine learning techniques 
  3.  Hands-on exposure to exploratory data analysis
  4.  Practical exposure to model design, evaluation 
  5.  Familiarity with tools and libraries such as scikit learn, pandas numpy, tensorflow, pytorch and keras

Employable skills and hands on practice for Blockchain Development

 The aim for the team of staff responsible for delivery of the advanced IT curriculum is to provide knowledge and develop skills related to the IT. The course will allow participants to gain a comprehensive understanding of all the aspects. It will also develop the participant’s ability to act in a professional and responsible manner. Teaching staff will provide the technical knowledge and abilities required to solve tasks and problems that are goal-oriented. They will use participant-centered, practically oriented methods. They will also develop a program of practical assessment that reflects the learning outcomes stated in the curriculum. Trainees of the IT curriculum will also develop their willingness and ability as individuals to clarify issues, as well as think through and assess development opportunities. Teaching staff will also support trainees in developing characteristics such as self-reliance, reliability, responsibility, a sense of duty and a willingness and ability to criticize and accept criticism well and to adapt their future behavior accordingly. Teaching staff also use the IT curriculum to address the development of professional competence. Trainees will acquire the ability to work in a professional environment. This course aims to provide conceptual understanding of the function of Blockchains as a method of securing distributed ledgers, how consensus on their contents is achieved, and the new applications that they enable. It covers the technological underpinnings of blockchain operations as distributed data structures and decision-making systems, their functionality and different architecture types. It provides a critical evaluation of existing “smart contract” capabilities and platforms, and examines their future directions, opportunities, risks and challenges.