The GENAI Bootcamp

Welcome to the Generative AI Bootcamp—a program designed to launch your career in artificial intelligence! This immersive course covers essential tools and concepts, including Python, transformer models, and deep learning frameworks, equipping you with the skills needed to create innovative AI solutions.

Rs. 5,999/-

Monthly Rs. 8,000

25% Discount

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start coding with confidence!

Take the first step towards a brighter future with cutting-edge training from industry leaders

8th Dec 24

Start Date

Fri/Sat/Fri

Class Days

4 Months

Duration

8:00-10:30 PM

Class Timing

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Carefully Curated Curriculum

  1. Introduction to Excel Interface: Workbook, worksheets, rows, columns, cells, and basic navigation.
  2. Data Entry and Formatting: Formatting cells, conditional formatting.
  3. Basic Formulas and Functions: SUM, AVERAGE, COUNT, MIN, MAX.
  4. Cell Referencing: Absolute vs. relative referencing.
  5. Data Sorting and Filtering: Sorting columns, filtering rows.
  6. Introduction to Charts: Basic charts (bar, pie, line).
  7.  
  1. Advanced Formulas: VLOOKUP, HLOOKUP, INDEX-MATCH, IF, nested IFs.
  2. PivotTables and Pivot Charts: Creating and analyzing data.
  3. Data Cleaning Tools: Text to Columns, Remove Duplicates.
  4. What-If Analysis: Goal Seek, Data Tables, Scenarios.
  5. Introduction to Power Query: Basic data import and transformation
  6.  
  1. Introduction to Power BI: Overview, installing Power BI Desktop.
  2. Connecting to Data Sources: Excel, CSV, web, databases.
  3. Data Transformation: Basic Power Query operations like removing duplicates, splitting columns.
  4. Creating Simple Visualizations: Bar charts, line charts, pie charts.
  5. Reports and Dashboards: Building your first report and publishing it to the Power BI service
  1. Understanding Data Models: Relationships between tables.
  2. Creating Calculated Columns: Adding new fields.
  3. Creating Measures: Basic DAX (SUM, COUNT, AVERAGE).
  4. Using Hierarchies: Drill-down in reports
  1. Advanced DAX: CALCULATE, ALL, FILTER.
  2. Time Intelligence: Working with date tables and time-based calculations (YTD, MTD).
  3. Custom Visualizations: Using marketplace visuals.
  4. Conditional Formatting and Dynamic Visuals: Enhancing reports with interactivity
  1. Publishing Reports: Publishing from Power BI Desktop to Power BI Service.
  2. Creating Dashboards in Power BI Service: Pinning tiles, creating dashboards.
  3. Sharing and Collaboration: Sharing reports, managing permissions.
  4. Data Refresh and Scheduled Refresh: Automating report updates.
  5. Introduction to Power BI Mobile: Viewing and interacting with reports on mobile devices.
  1. Introduction to Databases and SQL: Understanding RDBMS, basic SQL syntax.
  2. Basic Queries: SELECT, WHERE, ORDER BY.
  3. Filtering Data: Using operators, LIKE, IN, BETWEEN.
  4. Basic Aggregations: SUM, COUNT, AVG, MIN, MAX.
  1. Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN.
  2. Combining Data from Multiple Tables: Understanding relationships.
  3. Subqueries: Writing subqueries within SELECT statements
  1. Advanced SQL Functions: String manipulation, date functions.
  2. CASE Statements: Conditional logic in queries.
  3. Window Functions: ROW_NUMBER(), RANK(), PARTITION BY
  1. Data Insertion: INSERT INTO.
  2. Data Updates and Deletions: UPDATE, DELETE.
  3. Transactions and Rollbacks: BEGIN TRANSACTION, COMMIT, ROLLBACK
  1. Indexes: Understanding and creating indexes.
  2. Query Optimization Techniques: Analyzing query execution plans.
  3. Working with Views: Creating and managing views for data abstraction.
  1. Stored Procedures: Creating and using stored procedures.
  2. Triggers: Automating tasks with triggers.
  3. Security and Permissions: Granting and revoking access
  1. Introduction to Python: Installing Python, using IDEs (Jupyter, VS Code).
  2. Basic Syntax: Variables, data types, operators.
  3. Control Flow: IF statements, loops (for, while).
  4. Basic Functions: Defining and using functions.
  1. Data Structures: Lists, tuples, dictionaries, sets.
  2. File Handling: Reading from and writing to files.
  3. Error Handling: Try, except, raising exceptions.
  1. Introduction to Pandas: DataFrames, Series, basic operations.
  2. Data Cleaning with Pandas: Handling missing data, filtering, sorting.
  3. Data Visualization: Using Matplotlib and Seaborn for charts.
  1. Advanced Pandas Operations: Merging, joining, and grouping data.
  2. APIs and Web Scraping: Using Python to fetch data from APIs and websites.
  3. Automating Tasks: Using Python for repetitive tasks (file handling, data processing).

Master These Tools for a Competitive Edge

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A one-stop destination for all your learning to placement needs

Tech Blog

Explore our tech blog for in-depth guides on a wide range of programming topics. From beginners to experts, find the knowledge you need to enhance your coding skills!

Internship portal

Experience the real world with our project-based internships, designed to equip you with essential skills. Transform your potential into professional excellence.

Job Portal

New-age jobs need new-age technology, revamp your CVs to increase your chances of getting hire and apply for exclusive jobs.

Hall of Fame

View our alumni who have excelled & transformed their careers through us.

Tech Blog

Explore our tech blog for in-depth guides on a wide range of programming topics. From beginners to experts, find the knowledge you need to enhance your coding skills!

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Our alumni work at reputed technology companies and promising startup

Join the ranks of our successful graduates working at top-tier tech companies and startups around the world

Army will make you confident about your fundamentals

Experienced and top of the notch instructors for your upskilling

Syed Abis

Data Scientist

Hasnian Ali

Data Scientist

Mujeeb ur Rehman

AI Engineer

Muhammad Owais

AI Lead

Syed Abis

Data Scientist

Zainab Arif

Data Scientist

Hasnian Ali

Data Scientist

Sara Arshad

Data Scientist

Carefully Curated Curriculum

Everything you need to know about the product and billing.

Most of our courses are designed for beginners, so no prior experience is required. However, some advanced courses may have specific prerequisites, which are listed on the course page.

Course durations vary, but most of our programs range from 4 weeks to 6 months. Check the course details for the exact duration.

Yes, we offer a refund policy if you decide to cancel within the first 7 days of the course start date. Please review our refund policy for more information.

Yes, all our courses come with a certificate of completion, which you can add to your resume or LinkedIn profile.

Absolutely! You will have lifetime access to all course materials, so you can revisit and review them anytime.

We offer both self-paced and live courses to accommodate different learning preferences. Please check the course details to see the format offered.

You’ll have access to a dedicated support team, as well as mentors and peer forums where you can ask questions and share insights.

Yes, we periodically offer discounts, and we have scholarship opportunities available for eligible students. Keep an eye on our promotions page or contact support for more details