The Advanced Data Science and AI certification programme is designed for learners who want more than basic analytics training. This course helps students, graduates, working professionals and career switchers build strong skills in Python, Excel, SQL, Power BI, statistics, machine learning, Generative AI, cloud AI concepts and real-world data projects.
A basic data course may teach tools, but today’s companies need professionals who can connect data, automation and AI to business outcomes. The Advanced Data Science and AI certification is useful because modern job roles increasingly expect learners to understand data analysis, machine learning, dashboards, AI-powered automation and Generative AI workflows together.
The World Economic Forum’s Future of Jobs Report 2025 identifies technological change as one of the major forces reshaping work by 2030. It also highlights the growing importance of AI, big data and technological literacy across industries.
This matters because employers are not only looking for people who can run Python code. They want candidates who can clean messy data, write SQL queries, create Power BI reports, build predictive models, explain AI outputs and communicate insights clearly. An advanced certification programme gives learners a structured path instead of scattered learning from random tutorials.
For learners in Bangalore and Karnataka, iPEC Solutions’ advantage is that it offers Data Science and AI training with hands-on projects, job placement assistance and flexible learning modes.
A practical curriculum covering data science foundations, Excel, SQL, Python, statistics, visualization, Power BI, machine learning, advanced AI concepts, generative AI, cloud AI, certification preparation, capstone work, and career readiness.
| Phase | Module | Topics Covered | Practical Outcome |
|---|---|---|---|
| Phase 1 | Data Science & AI Orientation | AI use cases, data science lifecycle, career paths, project roadmap | Understand how data science and AI solve business problems |
| Phase 2 | Excel for Analytics | Data cleaning, formulas, pivot tables, charts, reporting templates | Build structured reports from raw datasets |
| Phase 3 | SQL for Data Analysis | SELECT, WHERE, JOIN, GROUP BY, subqueries, case statements | Extract business insights from databases |
| Phase 4 | Python Programming | Variables, functions, loops, files, error handling, libraries | Write Python scripts for data tasks |
| Phase 5 | Python for Data Science | NumPy, Pandas, data frames, missing values, transformations | Clean and prepare datasets for modelling |
| Phase 6 | Statistics & EDA | Probability, correlation, distributions, outliers, hypothesis basics | Understand patterns before building models |
| Phase 7 | Data Visualization | Matplotlib, chart selection, insight storytelling, dashboard thinking | Present data clearly to business users |
| Phase 8 | Power BI | Data modelling, DAX basics, slicers, filters, KPI dashboards | Build interactive business intelligence dashboards |
| Phase 9 | Machine Learning | Regression, classification, clustering, model training, validation | Create predictive models using real datasets |
| Phase 10 | Advanced AI Concepts | NLP basics, recommendation systems, AI workflows, automation logic | Understand applied AI use cases |
| Phase 11 | Generative AI | Prompt engineering, Gen AI tools, AI productivity workflows, responsible use | Use AI tools for practical business tasks |
| Phase 12 | Cloud AI & Certification Prep | AWS AI concepts, Google Gen AI awareness, certification roadmap | Prepare for external AI certification pathways |
| Phase 13 | Capstone Project | End-to-end project, documentation, presentation, review | Build portfolio-ready proof of skills |
| Phase 14 | Career Preparation | Resume, LinkedIn, mock interviews, job role mapping | Prepare for Data Science and AI job opportunities |
We provide every resource, tool, and support system needed — from your first lesson all the way through to job placement. Nothing is left to chance.
The biggest weakness in many certification courses is that learners finish with a certificate but no strong portfolio. This Advanced Data Science and AI certification should focus on practical output: dashboards, notebooks, models, automation workflows and capstone presentations.
Use Excel, SQL and Power BI to analyse sales data, identify top-performing products, track revenue trends and create a leadership-ready dashboard.
Use Python and machine learning to predict which customers are likely to stop using a service. Learners practise data cleaning, feature selection, model training and result interpretation.
Analyse historical sales data and build a forecasting model to estimate future demand. This project is useful for retail, inventory and supply chain use cases.
Work with healthcare-style datasets to identify patterns, risk indicators and operational insights. This helps learners understand how AI and analytics support decision-making.
Use Python and Generative AI tools to create automated summaries from data reports. This project shows how AI can reduce manual reporting time.
Complete an end-to-end Data Science and AI project: problem statement, data cleaning, analysis, visualization, machine learning, AI-assisted reporting and final presentation.
The Advanced Data Science and AI certification should help learners move from foundation-level data handling to advanced applied AI problem-solving.
No matter your background, age, or starting point — if you are committed, this programme is designed to take you to the next level.
Build real AI skills alongside your degree and stand out in the job market from day one — any graduation or UG background welcome.
Transition into data, AI, or tech from any field — structured, step-by-step, with full mentor support and placement assistance.
Upskill in AI and data to amplify your impact, earn promotions, and future-proof your career across any industry.
Harness GenAI, automation, and data insights to make smarter decisions and build faster with a competitive AI edge.
Integrate AI literacy and modern tools into your teaching to stay ahead of the curriculum and inspire the next generation.
Zero prior experience? No coding background needed. We start from absolute basics and move at your pace with full support.
Marketing, sales, and ops professionals working with AI tools who need foundational knowledge and practical fluency.
Evaluating AI adoption strategies and needing AI literacy to make informed decisions about technology investments.
Professionals from diverse fields who want to augment their analytical capabilities using AI tools and methodologies.
The Advanced Data Science and AI certification at iPEC Solutions should be positioned as a career-focused programme, not only a classroom course. iPEC’s course list mentions the Advanced Certified Professional in AI-Data Science as a 6-month Executive Programme with AWS Certified AI Practitioner and Google Gen AI certification references, online/offline/blended mode and job guarantee/career assurance wording.
After completing an Advanced Data Science and AI certification, learners can explore roles across IT, fintech, healthcare, retail, education, manufacturing, logistics, consulting, e-commerce, marketing analytics and business operations.
iPEC Solutions describes itself as a Data Science and AI/ML training and software consulting organization. Its about page states that the company focuses on IT training, consulting, Data Science, Artificial Intelligence, managed IT services and tech transformation.
18 years of training and technology education experience
Hands-on learning with practical projects and datasets
Online, offline and blended learning modes
Hands-on learning with real-world business projects
Python, SQL, Excel, Power BI, ML and Gen AI learning path
AWS AI Practitioner and Google Gen AI certification pathway references
Placement support, resume help and interview preparation
Bangalore-based training centre for Karnataka learners
Advanced Data Science and AI certification is a structured training programme that helps learners build skills in Python, SQL, Excel, Power BI, statistics, machine learning, Generative AI, cloud AI concepts and real-world projects.
Yes, beginners can join if they are ready to learn step by step. The course should start with Excel, SQL, Python and statistics before moving into machine learning, AI tools and capstone projects.
iPEC’s official course list mentions the Advanced Certified Professional in AI-Data Science as a 6-month Executive Programme.
Yes, iPEC’s Data Science and AI course pages mention job placement assistance and career-focused support. Learners should confirm eligibility conditions for any job guarantee or career assurance track before enrolling.
The iPEC course list mentions AWS Certified AI Practitioner and Google Gen AI references for the Advanced Certified Professional in AI-Data Science programme. External certification exams may have their own registration, exam and eligibility requirements, so learners should confirm details during admission.
Learners can expect exposure to Python, Excel, SQL, Power BI, NumPy, Pandas, machine learning libraries, Generative AI tools, AWS AI concepts, Google Gen AI concepts and Jupyter Notebook.
Yes. Working professionals can use this course to upgrade from basic reporting to advanced analytics, AI automation, predictive modelling and business intelligence roles.
Unlock your full potential with our expert-led Offline / online courses. Gain practical knowledge and advance your career in your chosen field.
Hear from our successful students who have transformed their careers with iPEC’s hands-on training. From mastering AI and automation to securing top industry roles, our graduates share how iPEC’s expert mentorship, real-world projects, and career-focused learning helped them achieve their dreams.

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