Training – Softaxe

SOFTAXE TRAINING INSTITUTE

AI & Data Science Certification Course

Step into the future with Softaxe’s AI & Data Science Certification Course—your fast track to mastering cutting-edge AI and data skills. Designed for real-world impact, this program blends essential data science concepts with next-gen Generative AI (GenAI) expertise. Gain hands-on experience in a live software house environment, work on industry-level projects, and benefit from expert-led sessions that prepare you for a career in high-demand tech fields.

Get Early Bird Package with FREE Internship (Limited Seats) and kickstart your journey toward a job-ready future.

Main Features

Why Softaxe

Why Choose Softaxe for AI Training

Gain industry-ready skills, global recognition, flexible learning paths, and expert career support with Softaxe’s top-ranked data programs.

Data Science and Artificial Intelligence Course Overview

Engaging Classroom-Based Data Science Learning Experience

Learn Directly from Leading Industry Professionals

Work on 15+ Industry Projects & Real-World Assignments

Course Curriculum Includes Generative AI Modules

Exclusive Access to Data Science Job Boards

Recognized Softaxe® Alumni Network

Internationally Acclaimed Certification Program

Real-Industry Project Exposure & Case Scenarios

One-on-One Career Mentorship Sessions

200+ Hours of Practical and Theoretical Training

Comprehensive 360° Career Development Assistance

Live “Ask Anything” Sessions with Softaxe® Experts

Network of 350+ Hiring Partners

Flexible Blended Learning with Online + Offline Modes

Apply Skills with Hands-On Capstone Projects

1-on-1 Personalized Job Interview Coaching

Learn 30+ Modern Tech Tools & Programming Languages

Connect with Hiring Teams from Leading Companies

Explore Trending Topics in Data Science

Dive into high-impact subjects such as Python, Machine Learning, Deep Learning, Natural Language Processing (NLP), MLOps, RNNs, GANs, Attention Mechanisms, Transformers, BERT, and modern Business Intelligence platforms

Who Should Enroll in This Course?

This course welcomes learners from all backgrounds—Commerce, Science, Engineering, Arts, or Banking. Whether you’re a student or a working professional seeking a career shift, this program offers a practical entry point into the data science domain.

Career Paths After Completing the Course

Unlock roles like Data Scientist, AI Engineer, Machine Learning Specialist, Data Analyst, AI Researcher, NLP Developer, Big Data Consultant, Chatbot Designer, Vision Engineer, BI Analyst, and many other future-ready positions.

Step-by-Step Learning Made Simple

Begin with the fundamentals and gradually progress to advanced data science concepts. This structured approach keeps you focused, minimizes confusion, and builds a strong foundation for mastering more complex topics with ease.

Flexible Entry Requirements for All Learners

In the skills-first tech world, passion beats degrees. Whether you hold a diploma or a degree, what matters most is your curiosity and drive to learn. Start your journey and unlock a new world of data-driven opportunities.

Industries Seeking Data Science Talent

Organizations in Finance, Healthcare, E-commerce, Technology, Banking, Retail, Telecom, Aerospace, Marketing, Sports, and Entertainment actively hire data professionals, proving the universal demand for data-driven decision-making.

AI & Data Science Training Coure

Course Modules

The course covers essential AI and Data Science topics including Python programming, data analysis, machine learning algorithms, and model deployment. Each module combines theory with practical implementation, ensuring real-world understanding. You’ll also complete hands-on projects and participate in a live internship to reinforce skills and build your professional portfolio.

Foundations of AI & Data Science: Python, statistics, data manipulation

Machine Learning & Tools: scikit-learn, regression, classification, clustering

Applied Projects & Real‑World Use Cases: Capstone project in live environment

Internship Participation: Work on ongoing software projects with the Softaxe team

Career Readiness Workshops: Resume building, interview prep, placement guidance

Course Modules Overview

Explore core AI and Data Science topics, including Python, machine learning, data analysis, and practical projects with real-world applications.

Live Environment Training

Gain real-world experience by learning in a professional software house setting. Understand actual workflows, tools, and team collaboration to build confidence and skills that matter in the industry.

Expert-Led Instruction

Learn directly from seasoned AI and Data Science professionals. Our mentors guide you through complex concepts, ensuring practical understanding, personalized feedback, and career-oriented learning for long-term success.

Free Internship Opportunity

Apply your knowledge in a real internship setting at Softaxe. Work on live projects, enhance your portfolio, and gain valuable hands-on experience that boosts your employability and job readiness.

Top-Rated Software Development Company in Johar Town – Softaxe

Step into the future of software innovation with Softaxe, Johar Town’s leading software house known for delivering cutting-edge digital solutions. We specialize in end-to-end development, including Web Applications, Mobile Apps, E-commerce Systems, ERPs, and AI-powered solutions. From idea validation to product launch, our agile development process ensures exceptional results for startups and enterprises alike.

At Softaxe, we don’t just build software — we build scalable, user-centric solutions that drive business growth. Partner with us in Johar Town and experience the perfect blend of creativity, strategy, and technical excellence that sets us apart in Pakistan’s digital landscape.

Why Choose Softaxe for Software Development in Johar Town?

With a proven history of empowering businesses across industries, Softaxe stands out as a trusted name in software development in Johar Town. Our team of highly skilled developers, designers, and product strategists brings over a decade of experience, delivering tailored solutions that align with your goals and industry demands.

We offer a hybrid development model, combining in-house collaboration with remote agility to ensure timely delivery and quality assurance. From intuitive UI/UX to scalable backend architecture, every solution we build is designed to perform and evolve. Our partnerships with over 300+ local and international clients highlight our capability and trustworthiness.

Whether you’re a growing startup, an established business, or a corporate enterprise in Lahore – Johar Town, Softaxe is your strategic partner for turning ideas into digital success. Let’s build something exceptional together.

20+ Programming Tools, Libraries & Technologies Covered

10+ Generative AI Tools, Libraries & Technologies Covered

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Course Outline

Data Science Course and AI Foundation: Orientation

Gain a swift understanding of the data science training course and key concepts, while installing crucial software. This foundational session paves the way for a smooth journey ahead, minimizing obstacles in your learning path.

Welcome and Course Overview

Introduction to the Data Science Course
Importance of Data Science and AI

Key Concepts Overview

Fundamentals of Data Science
Introduction to Artificial Intelligence

Software Installation Guidance

Installing Anaconda
Setting up Jupyter Notebooks
Setting-up Power BI and Tableau Account
Introduction to Excel Environment

Course Expectations and Structure

Overview of the Course Modules
Brief on Assignments and Assessments

Introduction to the Learning Environment

Digital Platforms and Resources
Communication Channels

Mastering MS Excel

Unleash the power of data. Master essential Excel skills for efficient data analysis, visualization, and decision-making in various professional domains.

Fundamentals of Excel

2 Quizzes

1 Project

Overview of Excel Interface
Key Formulas and Functions
Ranges and Tables
Data Cleaning – Text Functions, Dates and Times
Conditional Formatting
Sorting and Filtering

Advance Excel

2 Quizzes

1 Project

Pivots
Data Analysis in Excel – Trends and Patterns
Data Visualization in Excel – Charts and Plots
Working With Multiple Worksheets
Linking and Referencing the Data Between Worksheets

Python for Data Science

Unlock the power of Python in data analysis. Learn essential skills for handling, analyzing, and visualizing data effectively.

Fundamentals of Python

2 Quizzes

1 Project

Overview of Python
Understanding Statements, Expressions and Indentation
Overview of Identifiers, Keywords and Comments
Variables: Declaration, Assignment and Naming Conventions
Common Data Types: Integers, Floats and Strings
Type Casting and Conversion
Operators in Python
Hands-on Activity

Loops, Functions & Error Handling

2 Quizzes

1 Project

Loop Control Statements: Break, Continue and Pass
Defining and Calling Functions
Function Parameters and Return Values
Scope of Variables (Global and Local)
Advanced Functions
Default Values and Variable-Length Arguments
Recursive Functions
Map, Reduce and Filter
Introduction to Exceptions
Try, Except and Finally Blocks
Handling Common Errors
Hands-on Activity

Data Structure: List and Tuple

2 Quizzes

1 Project

Basic Operations on Lists
Demonstration of List Manipulation Techniques
Slicing and Indexing in Lists
List Comprehension for Concise and Readable Code
Tuples Creation
Basic Operations on Tuples
Slicing And Indexing in Tuples
Common Operations on Both Lists and Tuples
Hands-on Activity

Data Structure: Dictionary and Sets

2 Quizzes

1 Project

Basic Operations on Dictionaries
Manipulating Dictionaries
Dictionary Comprehension for Concise Creation
Creation of Sets
Manipulating Sets
Common Operations on Both Dictionaries and Sets
Hands-on Activity

Introduction to Numpy

2 Quizzes

1 Project

Intro To Numpy and Creating Numpy Array
Basic Operations on Arrays
Indexing and Slicing
Reshaping, Stacking and Splitting
Iteration, Filtering and Boolean Indexing
Image Processing Using Numpy and Matplotlib
Hands-on Activity

Introduction to Pandas and Data Visualization

2 Quizzes

1 Project

Data Structure in Pandas
Creating Dataframe and Loading Files
Data Exploration (EDA)
Creating and Saving Basic Plots Using Matplotlib
Creating Statistical Plots Using Seaborn
Exploring Relationships in Data: Pair Plot and Heat Map
Hands-on Activity

SQL for Data Science

Master the language of databases. Acquire essential SQL skills to extract, manipulate, and analyze data for effective decision-making.

Introduction to SQL and Querying

2 Quizzes

1 Project

SQL and Its Significance
SQL’S Role in Data Retrieval and Manipulation
Select Statement for Data Retrieval
Retrieving Specific Columns and All Columns
Using Distinct to Remove Duplicates
Data Models & ER Diagrams
Relational Vs. Transactional Models
Organizing Data in Tables
Filtering Data with Where Clause
Sorting Data with Order By
Limiting Results with Limit
Using Aliases for Column Names
Hands-on Activity

Advanced SQL Concept and Data Manipulation

2 Quizzes

1 Project

Creating and Using Temporary Tables
Adding Comments to SQL Code for Documentation
Introduction to Data Modeling
Designing A Database Schema
Sorting Data with Order By (Advanced)
Advanced Filtering (With In, Or, And, Not)
Performing Mathematical Operations on Data
Introduction to Aggregate Functions (Count, Sum, Avg, Max, Min)
Grouping Data with Group By
Filtering Grouped Data with Having
Understanding Subqueries and Their Types
Performing Join Operations (Inner Join, Left Join, Right Join, Full Outer Join)
Updating and Deleting Data with SQL
Analyzing Data with Statistics
Hands-on Activity

Application of Statistics and Probability

Uncover the data-driven insights you need. Explore the practical application of statistics and probability to enhance decision-making in the world of data.

Fundamentals of Statistics and Probability

2 Quizzes

1 Project

Define Statistics and Its Importance
Explain The Types of Data: Categorical and Numerical
Inferential and Descriptive Statistics
Measure Of Central Tendency: Mean, Median, Mode
Measure Of Dispersion: Variance and Standard Deviation
Probability Basics, It’s Rules and Notation
Probability Distribution – Discrete and Continuous
Normal Distribution and Properties
Central Limit Theorem and Its Importance
Skewness and T-Distributions

Advance Statistic and Hypothesis Testing

2 Quizzes

1 Project

Hypothesis Testing – Null and Alternative
Significance Level (Alpha) and P-Value
One-Sample and Two-Sample T-Test
Visualization Plots for Data Exploration
Interpretation of Visualization
Correlation and Regression
Confidence Interval
Hypothesis Testing With Z-Test
Chi-Square Test for Categorical Data
One-Way and Two-Way Anova

Explore Supervised Machine Learning

Dive into the fundamentals of supervised learning, where algorithms learn from labeled data to make predictions and drive informed decisions.

Introduction to Machine Learning (ML) and Regression

2 Quizzes

1 Project

Intro to ML & Its Role in Data Analysis
Types of Machine Learning – Supervised, Unsupervised and Reinforcement
Data Pre-processing Methods
Feature Scaling
Linear Regression as Regression Technique
Simple Linear Regression
Hands-on Activity

Multiple Linear Regression and Model Evaluation

2 Quizzes

1 Project

Model Evaluation Metrics for Regression
Mean Absolute Error (MAE)
Mean Squared Error (MSE)
Root Mean Squared Error (RMSE)
R-Squared (Coefficient of Determination)
Multiple Linear Regression
California Housing Dataset – Model Evaluation
Hands-on Activity

Logistic Regression and Classification Metrics

2 Quizzes

1 Project

Overview of Logistic Regression
Binary Classification Problem and Logit Function and Odds Ratio
Binary & Multi-class LR
Classification Matrix: Accuracy, Precision, Recall and F1-Score
Confusion Matrix Interpretation
ROC Curves & AUC
Hands-on Activity

Decision Trees and Ensemble Methods

2 Quizzes

1 Project

Decision Tree and Its Structure
Decision Nodes and Leaf Nodes, Parent/Child Node
Splitting Criteria – Gini Impurity and Entropy
Tree Pruning and Overfitting
Techniques to Prevent Overfitting
Random Forest – Ensemble Learning and Bagging
Gradient Boosting And AdaBoost Ensemble Method
Hands-on Activity

Model Evaluation and Validation Techniques

2 Quizzes

1 Project

K-Fold Cross-Validation for Model Evaluation
Hyper-parameter Tuning Using Grid Search
Detailed Coverage of Classification Metrics
Precision, Recall, F1-Score, ROC Curves, AUC
Interpretation and Practical Usage
Hands-on Activity

Explore Unsupervised Machine Learning

Explore the world of unsupervised learning, where algorithms uncover valuable insights from unlabeled data, driving innovation and discovery.

Unsupervised Learning

2 Quizzes

1 Project

K-Means Clustering and Its Applications
K-Means Algorithm
Choosing the Number of Clusters (K)
Introduction to Hierarchical Clustering
Agglomerative Hierarchical Clustering
Hands-on Activity

Support Vector Machines (SVM) and K-Nearest Neighbors (KNN)

2 Quizzes

1 Project

Classification and Regression with SVM
The Concept of Margin and Support Vectors
Kernel Trick for Non-Linear Data
Introduction to KNN
Predictions of KNN Based on Nearest Neighbors
Euclidean Distance, Manhattan Distance and Other Distance Metrics
Choosing the Value of K
Hands-on Activity

Time Series Modeling with ARIMA And SARIMA

2 Quizzes

1 Project

Understanding Time Series Data
ARIMA Model and Its Components
Building ARIMA Models
Forecasting with ARIMA
Seasonal ARIMA (SARIMA) Model and Its Components
Building and Forecasting with SARIMA
Model Evaluation and Tuning
Hands-on Activity

Explore Deep Learning

Discover the transformative world of deep learning, where neural networks simulate the human brain to analyze and understand complex data.

Introduction to Deep Learning

2 Quizzes

1 Project

Overview of Artificial Neural Networks (ANNs)
Neural Network Basics
Model Representation in Deep Learning
Deep Learning Applications
Training Deep Learning Models
Building A Simple Artificial Neural Network
Hands-on Activity: ANN
Convolutional Neural Networks (CNNs)
Hands-on Activity: CNN

Deep Learning Architectures and Training

2 Quizzes

1 Project

Recurrent Neural Networks (RNNs)
Recurrent Neurons
Vanishing Gradient Problem
LSTM and GRU
Building and Training RNN
Overfitting and Regularization Techniques
Dropout and Normalization
Model Evaluation, Metrics and Hyper-parameter Techniques
Hands-on Activity: RNN, LSTM, GRU

Discover Natural Language Processing (NLP)

Explore NLP, where machines comprehend, interpret, and generate human language, paving the way for advanced communication and understanding.

Introduction to Natural Language Processing (NLP)

2 Quizzes

1 Project

Overview of NLP
Challenges in NLP
Key NLP Tasks
Text Preprocessing in NLP
NLP Libraries and Frameworks
Feature Extraction and Representation
Building A Text Classification Model
Hands-on Activity

Advanced NLP Techniques

2 Quizzes

1 Project

Advanced Word Embeddings
GLOVE (Global Vectors for Word Representation)
N-Grams
Recurrent Neural Networks (RNN)
Long Short-Term Memory (LSTM)
GRU
Hands-on Activity

Class Project: Application of ML, Deep Learning and NLP

Experience the power of ML, Deep Learning, and NLP in action. Solve real-world challenges and showcase your skills through hands-on projects.

Data Science Project – 1

2 Quizzes

1 Project

Introduction – Data Science Workflow
Data Collection
Exploratory Data Analysis (EDA) and Visualization
Data Preprocessing
Machine Learning Model Development
Introduction to Model Deployment
Model Deployment Using Streamlit

Data Science Project – 2

2 Quizzes

1 Project

Introduction to Problem Statement
Dataset Overview
NLP Model Development
Deep Learning Model Development
Model Evaluation
Model Deployment Using Streamlit

Mastering Data Visualization

Learn to craft compelling visual stories, turning raw data into actionable insights with Power BI and Tableau, the industry’s leading Business Intelligence tools.

Mastering Power BI

2 Quizzes

1 Project

Introduction to Power BI, Key Features, Installation and Setup
Understanding the Power BI Desktop Interface
Exploring the Workspace: Ribbons, Panes and Menus
Data Transformation
Data Modeling: Relationships, Keys and Hierarchies
Data Analysis Expressions (DAX), DAX Functions and Calculations
Advanced DAX Calculations: Time Intelligence, Filters and Measures
Charts and Page Layouts
Creating A Power BI Dashboard
Publishing and Sharing Reports and Dashboards
Hands-on Activity

Mastering Tableau

2 Quizzes

1 Project

Overview of Tableau Prep
Data Connections, Cleaning and Transformation
Introduction to Tableau Desktop
Data Source Connection and Navigation
Visual Analytics – Sorting and Filtering Data Interactivity
Working with Calculated Fields
Aggregations and Level of Detail (LOD) Expressions
Creating Charts and Dashboards in Tableau
Hands-on Activity

Mastery in Generative AI (Gen AI)

Explore the cutting-edge world of Generative AI, where machines learn to create new content, art, and ideas autonomously.

Introduction to Generative AI, Transformers and LLMs

2 Quizzes

1 Project

Overview of Generative AI
Definition and Key Features of Generative Models
Applications of Generative AI Across Various Industries
Ethical Considerations and Potential Biases in Generative AI
Architecture Overview: Transformers and Their Key Components
Pre-Training and Fine-Tuning of LLMs
Comparison of Different LLM Models (GPT-3, T5, Jurassic-1 Jumbo)
Introduction to Hugging Face and Text Generation/Summarization
Setting Up the Environment and Accessing Hugging Face
Exploring Pre-Trained LLM Models and Functionalities
Implementing Text Generation Tasks Using Transformers and LLMs
Experimenting With Text Summarization Techniques with LLMs
Analyzing the Strengths and Limitations of Different Approaches
Hands-on Activity

Training and Fine-tuning LLMs

2 Quizzes

1 Project

Fine-Tuning LLMs for Specific Tasks
Dataset Preparation and Pre-Processing Techniques
Fine-Tuning Hyper-parameter Optimization
Evaluating the Performance of Fine-Tuned Models (Bleu and Rouge)
Introduction to Retrieve, Augment and Generate (RAG) for Fine-Tuning
Hands-On: Fine-Tuning LLM with Custom Data
Selection of LLM Models and Dataset
Fine-Tuning with Hugging Face Libraries
Evaluating and Analyzing the Fine-Tuned Model’s Performance
Comparison of Results with The Pre-Trained Model
Hands-on Activity

Advanced Fine-tuning and Model Evaluation

2 Quizzes

1 Project

Advanced Fine-Tuning Techniques
Prompt Engineering and Its Impact on Generated Text
Exploring Techniques Like Beam Search and Nucleus Sampling
Conditional Text Generation Based on Specific Contexts
Text-To-Speech and Speech-To-Text Integration with Hugging Face
Model Evaluation Techniques
Going Beyond Bleu and Rouge: Exploring Advanced Metrics for Different Tasks
Qualitative Analysis of Generated Text and Summarization Outputs
Importance of Human Evaluation in Generative Models
Hands-on: Fine-Tuning with Advanced Techniques and Text-To-Speech/Speech-To-Text
Experimenting with Prompt Engineering and Advanced Generation Techniques
Implementing Conditional Text Generation Based on Specific Contexts
Integrating Text-To-Speech and Speech-To-Text Functionalities
Evaluating the Performance of Fine-Tuned Models Using Advanced Metrics

Building a Real-Life Chatbot with Gradio Deployment

2 Quizzes

1 Project

Real-World Applications of Generative AI
Case Studies of Successful LLM Applications in Various Industries
Identifying New Opportunities for Generative AI Solutions
Ethical Considerations and Responsible Deployment Practices
Designing and Developing a Chatbot
Defining the Chatbot’s Functionalities and Target Audience
Integrating Fine-Tuned LLM Models for Text Generation, Dialogue, and Text-To-Speech/Speech-To-Text
Building the Chatbot Interface and User Interaction Flow
Implementing and Deploying the Chatbot With Gradio
Testing and Evaluating the Chatbot

Capstone Project

Apply and showcase your skills. Dive into a hands-on, real-world project to demonstrate mastery of concepts learned throughout the course.

Capstone Project Allocation, Mentorship and Presentation

2 Quizzes

2 Project

Project and Dataset Assignment by Capstone Mentor
Orientation Session by Capstone Mentor – Project Expectations
Mentorship Session by Capstone Mentor – Doubt Resolutions
Project Presentation

Career Enhancement

Elevate your professional journey. Gain skills, insights, and strategies to advance your career in the dynamic fields of Data Science and Artificial Intelligence.

Soft Skills Training

Presentation Skills
Email Etiquettes
LinkedIn Profile Building
Personality Development and Grooming

Interview Preparation

Interview Do’s and Don’ts
Mock Interviews
HR And Technical Interview Prep
One-On-One Feedback

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Seats are limited! Join Softaxe’s AI & Data Science Training Course to gain cutting-edge technical skills, real workplace exposure through a free internship, and full support to launch your career. Ready to transform your future?

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