Learning AI and data skills requires more than knowing how to use a few tools. You need to understand programming, work with data, create dashboards, and learn how machine learning models work. Beginners may find it difficult to learn these skills without a clear learning path.
The PW SkillWallah AI Engineer and Data Professional Program is a 12-month program for learners who want to build skills in data analytics, machine learning, and Generative AI. It starts with Excel and Python before moving to SQL, business intelligence, data analytics, and AI tools.
The program includes live classes, recorded lessons, hands-on labs, certifications, and placement preparation support. Its listed sale price is Rs.9,999, compared with the cut price of Rs.17,999.
PW SkillWallah AI Engineer and Data Professional is a career-focused program that helps learners build skills for AI and data-related roles. It starts with basic tools and programming before introducing data analysis, machine learning and Generative AI.
The program runs for approximately 12 months. Students learn through live classes, recorded lessons, and practical labs. Each level focuses on a different area and includes an exit certification.
The program aims to help learners prepare for roles such as AI Engineer, Data Analyst, Business Intelligence (BI) Analyst, Machine Learning Engineer, and Generative AI Associate. Actual job opportunities depend on your skills, projects, qualifications, and interview performance.
Key program details are given below:
|
Particulars |
Details |
|
Program Name |
PW SkillWallah AI Engineer and Data Professional |
|
Duration |
Approximately 12 months |
|
Learning Mode |
Live classes, recorded lessons, and hands-on labs |
|
Starting Tools |
Microsoft Excel and Python |
|
Key Topics |
SQL, business intelligence, data analytics, machine learning, and Generative AI |
|
Cut Price |
Rs.17,999 |
|
Sale Price |
Rs.9,999 |
|
Final Certification |
PW Certified AI Engineer and Data Professional |
The program is suitable for learners who want to start learning AI and data skills or move into a related career.
It may be suitable for the following groups:
B.Tech and B.E. Students: Students from any engineering branch who want to learn programming, data analytics and AI.
BCA and MCA Students: Learners who want to improve their technical skills and work with data and AI tools.
B.Sc. Computer Science and IT Students: Students who want to learn Python, SQL, analytics, and machine learning.
Final-Year Students and Fresh Graduates: Learners preparing for entry-level technology and data-related roles.
Working Professionals: Professionals who want to learn new technical skills or move into AI and data-related jobs.
Prior coding experience is not required. The program starts with Excel and introduces Python from the basics. However, learners should be ready to practise regularly, complete assignments, and work on practical tasks.
The program has six levels. Each level focuses on a different skill area and includes an exit certification.
Duration: 1 month
The first level introduces Microsoft Excel. Students learn how to work with data in spreadsheets and use Excel for basic analysis and everyday tasks.
The main module includes:
Microsoft Excel
Excel skills can help learners organise information, work with spreadsheets, and prepare data for further analysis.
Students who complete this level can receive the Certified Excel Professional certification.
Duration: 2 months
Python is widely used in data analysis, automation, and machine learning. This level introduces students to programming and helps them build a foundation for the later stages of the course.
The modules include:
Python Fundamentals
Python Advanced
Students begin with basic programming concepts and gradually move to advanced Python topics. These skills are useful when working with datasets and developing programs for different tasks.
The exit certification is Certified Python Developer.
The program also includes placement tips, mock interviews, and resume guidance to help students prepare for job applications.
Duration: 3 months
Businesses use databases to store and manage information. SQL helps users retrieve and work with this data, while business intelligence tools help present information in a useful format.
The main modules include:
SQL Fundamentals
SQL Advanced
Dashboarding
Students learn SQL concepts and how to work with data from databases. They also study dashboarding, which helps present data through charts and other visual formats.
These skills can be useful for data analysis and business intelligence roles.
Students who complete this level can receive the Certified SQL and BI Professional certification.
Additional support includes module-specific placement tips, mock interviews, resume guidance and weekly coding contests. These activities may include hackathons, weekly challenges, and rewards.
Duration: 2.5 months
Data analytics involves examining data to find patterns, understand results, and answer questions. This level introduces students to Python libraries and tools used to analyse and present data.
The modules include:
NumPy
Pandas
Data Visualization
NumPy helps with numerical calculations, while Pandas is used to organise and analyse datasets. Data visualisation helps present findings through charts and graphs.
Students learn how these tools can be used together to work with data and understand the results.
The exit certification is Certified Data Analytics Professional.
Duration: 2 months
Machine learning is a branch of AI that allows systems to learn patterns from data and use them to make predictions or support decisions.
This level covers:
Classical Machine Learning
Students are introduced to classical machine learning concepts and their use in data-related tasks. This knowledge builds on the programming and analytics skills covered in the earlier levels.
Students who complete this level can receive the Certified Machine Learning Associate certification.
The program also includes placement tips, mock interviews, resume guidance and weekly coding challenges to support learning and job preparation.
Duration: 2 months
Generative AI tools can create text, images, code, and other types of content. This level introduces students to prompt writing, AI tools, and Generative AI applications.
The modules include:
Prompt Engineering
AI Tools and Applications
Generative AI
Students learn how prompts affect AI responses and how different AI tools can be used for practical tasks. They also study Generative AI concepts and applications.
This level helps learners understand how AI tools can support different types of work. However, using AI tools effectively also requires practice and an understanding of their limitations.
The exit certification is Certified Generative AI Professional.
Additional support includes placement tips, mock interviews, resume guidance and weekly challenges.
Learning technical skills is only one part of preparing for a job. Students also need to explain their projects, solve problems and answer questions during interviews.
The PW SkillWallah AI Engineer program includes placement preparation support covering:
Resume building
Logical aptitude and verbal preparation
LinkedIn profile optimisation
Mock interviews
Technical and HR interview preparation
Portfolio building
Placement assistance
The program also includes module-specific placement tips and resume guidance. Weekly contests, hackathons and challenges give students opportunities to practise their skills.
These activities can help students prepare for job applications. However, placement assistance does not guarantee a job or placement.
Students who complete the program can receive the PW Certified AI Engineer and Data Professional certification, subject to the applicable eligibility requirements.
Learners must complete at least 60% of classes and assignments to qualify for the certificate. Before enrolling, students should check the current attendance, assignment and assessment requirements.
The individual levels also have exit certifications. These recognise completion of the respective learning stages, subject to the applicable certification criteria.
The listed pricing for the PW SkillWallah AI Engineer and Data Professional program is as follows:
|
Fee Particulars |
Amount |
|
Cut Price |
Rs.17,999 |
|
Sale Price |
Rs.9,999 |
The listed sale price is Rs.9,999. Students should check the official course page for the latest fee, applicable offers and enrolment terms before purchasing the program.
The refund policy states that refunds are not allowed after batch purchase. Review the terms carefully and make sure the course meets your requirements before enrolling.
The program may be a suitable option if you want to learn data analytics, machine learning and Generative AI from the basics. It covers several skills in one learning pathway, starting with Excel and Python and moving towards AI applications.
It may be worth considering for the following learners:
Beginners: Learners who have no prior coding experience and want to start with basic tools and programming.
College Students: Students who want to learn Python, SQL, data analytics and AI alongside their studies.
Final-Year Students and Fresh Graduates: Learners who want to build practical skills and prepare for entry-level technology roles.
Working Professionals: Professionals who want to develop skills in data analysis, machine learning or Generative AI.
Before enrolling, consider the following factors:
Time Commitment: Check whether you can dedicate around 12 months to classes, assignments and practice.
Curriculum: Review all six levels to see whether the topics match your learning goals.
Practical Learning: Consider whether the hands-on labs and coding activities meet your expectations.
Career Goals: Identify the roles you want to prepare for and check which skills they require.
Fees and Eligibility: Review the current price, certification requirements and refund policy before making a decision.
The PW SkillWallah AI Engineer and Data Professional program covers Excel, Python, SQL, business intelligence, data analytics, machine learning and Generative AI. It combines classes and practical learning with exit certifications and placement preparation support.
If you want to build skills for AI and data-related roles, review the curriculum and course requirements before enrolling. Make sure the course duration, learning format and fees fit your plans.