Data Science and Machine Learning with GenAI Certification Powered By IBM | Online Live Classes

• Online LIVE instructor-led training
• 40+ hours IBM-designed courses with masterclasses
• Guided GenAI labs for hands-on practice
• 8 Industry Projects + 1 Capstone Project
• Coverage of Python, SQL, ML, DL, NLP, CV & GenAI
• IBM virtual labs and hackathons
• Triple certification (IBM, Career247, NASSCOM)
• 100% career assistance & mock interviews
• Financing options available
• Tools covered: Excel, SQL, Python, Power BI, Tableau, Machine Learning & Generative AI

Check the study plan here

• Python for Data Science (Pandas, NumPy, Matplotlib, Seaborn)
• Statistics & Mathematics (Probability, Hypothesis Testing, Distributions)
• SQL for Data Science
• Machine Learning (Supervised & Unsupervised)
• Deep Learning (CNN, RNN, LSTM)
• NLP (Transformers, BERT, Sentiment Analysis)
• Computer Vision
• Generative AI with IBM (LLMs, Prompt Engineering)
• Big Data Technologies (Hadoop, Spark)
• Industry Projects & Capstone
• Career Preparation

Ganesh Nethi Paleti:

• Designation & Organization 
  Program Architect / Program Manager – Data Analytics & Data Science
• Short Bio Ganesh Nethi Paleti is a Program Architect and Data Analytics professional with diverse experience across analytics, operations, and program management in India and the UK. With a strong background in data science and digital program execution, he has worked across industries including gaming, tech, and EdTech. He is known for simplifying complex problems, optimizing processes, and driving large-scale learner and customer success through structured, outcome-driven approaches.
• Key Achievements
  Currently leading Data Analytics & Data Science programs at Adda247, driving curriculum and program delivery
  Managed cross-functional teams in the UK (Flutter & Entain), improving operational efficiency and customer experience
  Worked as a Data Science Mentor, guiding learners in real-world analytics and machine learning applications
  Transitioned across roles from Data Scientist to Program Leadership, showcasing strong career growth
  Co-founded and operated an e-commerce startup (Crazyklik), handling operations and business execution
  Delivered measurable outcomes in analytics, customer success, and process optimization across multiple domains"
• Area of Expertise 
  Data Analytics & Data Science
  Program Management & Curriculum Design
  Operations & Process Optimization
  Team Leadership & Stakeholder Management
  E-commerce & Customer Experience
  Machine Learning Fundamentals
  Digital Program Execution (EdTech)
  Social Media & Marketing Basics"

Nitish Galat:

• Designation & Organization 
  Business Intelligence Analyst | AI Analyst | GenAI Trainer
• Short Bio 
  Nitish Galat is a Business Intelligence Analyst at PredictX, London, with over 5 years of experience in data analytics, supply chain, and travel analytics. He specializes in building end-to-end data pipelines, automating workflows, and developing impactful dashboards using tools like Python, SQL, Airflow, and Power BI. Alongside his corporate role, he is also a GenAI trainer, actively mentoring learners in data science, AI, and machine learning while working on AI-driven analytics and automation solutions.
• Key Achievements 
  Migrated data workflows from KNIME to Airflow, improving operational efficiency and reducing manual effort by 10%
  Led the integration of 20+ client-driven features, enhancing product usability and customer satisfaction
  Delivered analytics solutions on travel spend, CO₂ emissions, and supplier performance for global clients
  Contributed to ERP optimization and spend analytics across multiple industries (oil & gas, steel, procurement)
  Built automated ETL pipelines and reporting systems improving data accuracy and decision-making
  Designed AI-powered prototypes using NLP, LangChain, and LLM-based automation
  Trained multiple learners in Data Science, AI, and analytics, focusing on real-world applications"
• Area of Expertise 
  Data Analytics & Business Intelligence
  Data Engineering (Airflow, SSIS, SQL Server)
  Data Visualization (Power BI, Excel)
  Programming (Python – Pandas, NumPy, Scikit-learn)
  Cloud & Tools (Azure, GCP, Git)
  AI & Generative AI (NLP, LangChain, LLMs, Agentic AI)
  ETL & Data Pipeline Automation
  Supply Chain & Travel Analytics
  Dashboarding & Reporting Automation"