Artificial Intelligence (AI)
Course
This AI course equips students with essential skills in prompt engineering, covering foundational concepts, advanced strategies, and the latest in generative AI.
Enrolment
Click on Apply Now to register for the program
Program Duration
5 months
Learning Format
Online
Avg. Salary/Month
Rs. 71,738/-
What You Will Learn
- Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job
- Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau)
- Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming
- Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms
Course Syllabus
Module 1
Module 2
Module 3
Module 1
- Introduction to Generative AI and Its Capabilities
- LLMs: Powerful Thought Partners for Developers
- Writing, Reading, and Chatting with LLMs
- Prompting Tips and Iterative Experimentation
- Exploring Image and Speech Generation in AI
Module 2
- Applications and Workflow in Generative AI Projects
- Effective Interaction Techniques with LLMs
- Understanding Prompts and Prompt Patterns
- Refining Questions for High-Quality Output
- Advanced Prompt Patterns and Cognitive Strategies
Module 3
- Chain of Thought and ReAct Prompting
- Creating with Meta Language and Recipe Patterns
- Zero-Shot Prompting and Self-Consistency
- Multi-turn Conversations and Role Prompting
- Comparing Llama Models and Model-Graded Evaluation
Program Offerings
Practical Skills
You will learn practical skills in emerging careers that make you more valuable and appealing to employers
Projects
You will acquire the knowledge to create portfolio-worthy projects showcasing your skills
Mentorship
Seasoned professionals will provide support to navigate career paths and focus on skills development.
Certification
Earn a career certificate
Enroll in a Skill Development Council (SDC) approved course and earn a recognized certification to boost your professional profile.
Add this achievement to your LinkedIn profile, resume, or CV to showcase your commitment to professional growth and industry-recognized skills.
Module 7
- Week 9
Clean Data, Assignment Prep
Module 8
- Week 10
Cleaning Data with SQL, Verify and Report Cleaning Results
Module 9
- Week 11
Adding Data to Resume + Course Challenge
Module 10
- Week 12
Organizing Data to Begin Analysis, Formatting and Adjusting Data
Module 11
- Week 13
Aggregating Data for Analysis, Performing Data Calculations
Module 12
- Week 14
Visualizing Data, Creating Data Visualizations with Tableau
Module 13
- Week 15
Crafting Data Stories, Developing Presentations and Slideshows
Module 14
- Week 16
Programming and Data Analytics, Programming using R Studio
Module 15
- Week 17
Working with Data in R, More About Visualizations, Aesthetics and Annotations
Module 16
- Week 18
Documentation and Reports, Learn About Capstone Basics
Module 17
- Week 19
Building Your Portfolio + Using Your Portfolioo
Module 18
- Weeks 20 & 21
Putting Your Certificate to Work
Module 19
- Weeks 22 & 23
Introduction to Probability and Data with R
Module 20
- Weeks 24 & 25
Inferential Statistics
Module 21
- Weeks 26 & 27
Linear Regression and Modelling
Module 22
- Weeks 28 & 29
Bayesian Statistics
Module 23
- Weeks 30
Statistics with R Capstone (Final Project)
Module 24
- Weeks 31
Job - Interview Mocking and Training
Module 7
- Week 9
Clean Data, Assignment Prep
Module 8
- Week 10
Cleaning Data with SQL, Verify and Report Cleaning Results
Module 9
- Week 11
Adding Data to Resume + Course Challenge
Module 10
- Week 12
Organizing Data to Begin Analysis, Formatting and Adjusting Data
Module 11
- Week 13
Aggregating Data for Analysis, Performing Data Calculations
Module 12
- Week 14
Visualizing Data, Creating Data Visualizations with Tableau
Module 13
- Week 15
Crafting Data Stories, Developing Presentations and Slideshows
Module 14
- Week 16
Programming and Data Analytics, Programming using R Studio
Module 15
- Week 17
Working with Data in R, More About Visualizations, Aesthetics and Annotations
Module 16
- Week 18
Documentation and Reports, Learn About Capstone Basics
Module 17
- Week 19
Building Your Portfolio + Using Your Portfolioo
Module 18
- Weeks 20 & 21
Putting Your Certificate to Work
Module 19
- Weeks 22 & 23
Introduction to Probability and Data with R
Module 20
- Weeks 24 & 25
Inferential Statistics
Module 21
- Weeks 26 & 27
Linear Regression and Modelling
Module 22
- Weeks 28 & 29
Bayesian Statistics
Module 23
- Weeks 30
Statistics with R Capstone (Final Project)
Module 24
- Weeks 31
Job - Interview Mocking and Training
Module 7
- Week 9
Clean Data, Assignment Prep
Module 8
- Week 10
Cleaning Data with SQL, Verify and Report Cleaning Results
Module 9
- Week 11
Adding Data to Resume + Course Challenge
Module 10
- Week 12
Organizing Data to Begin Analysis, Formatting and Adjusting Data
Module 11
- Week 13
Aggregating Data for Analysis, Performing Data Calculations
Module 12
- Week 14
Visualizing Data, Creating Data Visualizations with Tableau
Module 13
- Week 15
Crafting Data Stories, Developing Presentations and Slideshows
Module 14
- Week 16
Programming and Data Analytics, Programming using R Studio
Module 15
- Week 17
Working with Data in R, More About Visualizations, Aesthetics and Annotations
Module 16
- Week 18
Documentation and Reports, Learn About Capstone Basics
Module 17
- Week 19
Building Your Portfolio + Using Your Portfolioo
Module 18
- Weeks 20 & 21
Putting Your Certificate to Work
Module 19
- Weeks 22 & 23
Introduction to Probability and Data with R
Module 20
- Weeks 24 & 25
Inferential Statistics
Module 21
- Weeks 26 & 27
Linear Regression and Modelling
Module 22
- Weeks 28 & 29
Bayesian Statistics
Module 23
- Weeks 30
Statistics with R Capstone (Final Project)
Module 24
- Weeks 31
Job - Interview Mocking and Training
Weekly Class Schedule
Here’s the tentative schedule for your course in the program. It’s designed to give you a clear understanding of what to expect. Please note that changes might occur, so consider this a general guide and stay updated for any revisions.
Instructors
Umair Rafique
Umair Rafique is the Lead Data Scientist at Marketlytics, a leading Digital Analytics consultancy in Karachi. He has been leading Data Science projects at Marketlytics for over 3 years, during which he has worked for multiple clients from Fortune 100.
His expertise lies in Statistical Analysis, Modelling, Machine Learning and Recommender Systems. Apart from that, he has been training aspiring Data Scientists in Statistical Inference and Regression Modelling with KarachiAI for the last 3 years.
Muhammad Hamza
Hamza is presently working as a Lead Data Scientist at Motive. With over 5 years of experience in the Data Science Industry, with past roles of Data Scientist at Daraz and Machine Learning Engineer at Gaditek. He has designed and deployed different data driven solutions including recommendations and predictive churn models in past.
He has teaching experience of over 2 years where he has taught courses related to Data Analytics, Data Engineering and Data Science.
Frequently Asked Questions
There are three payment methods to choose from:
In Standard, the full fee of the certification course is Rs 30,000/- and you have to pay Rs 3,000/- (non-refundable) as the registration fee. The remaining Rs 27,000/- over the period of 4-5 months.
In Scholarship, you have to pay Rs 1000/- (non-refundable) as the registration fee. Depending on the scholarship percentage offered, you have to sign an agreement (LEC) with all the conditions.
In Zakat, you have to pay Rs 500/- (non-refundable) as the registration fee. You will receive a Zakat Declaration Form through email to complete, verify eligibility in accordance to the Islamic criteria and submit required documents.
If you're 18 or older, a current university student, or a graduate with a passion for learning, you meet the eligibility to apply.
Alumni Success
Muhammad Tayyab
Cohort 2
Hired as a Data Science Intern at
Faran Ahmad
Cohort 2
Hired as a Salesforce Data Quality Analyst at
