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PG Diploma in Business Analytics Next-Gen AI
Are you ready to embark on a progressive learning journey and build your capabilities to secure a future-ready career? For ambitious fresher & seasoned professionals, our PG Diploma in Business Analytics & Next-Gen AI at Win in Life Academy will provide a formal yet approachable educational environment.
We believe that hands-on experience is the most effective way to learn. Our programme combines clear, structured learning with hands-on practice to help you master business analytics with agentic AI & gen AI. Over ten months, you’ll improve your skills through guided modules, real-world case studies, and live in-depth masterclasses on how to use GenAI, Agentic AI, predictive analytics, and AI-powered visualisation. In the final two months, you’ll apply your knowledge in a capstone project, working with industry mentors to solve a real business challenge and create a portfolio-worthy outcome. The hands-on learning ensures that you are both an active problem-solver and a passive learner. Join us and discover a community committed to your success and development in the rapidly evolving data landscape.
Learning Format
Live Classes
Placement Support
LMS Support
Program Details
12
Months
Key Takeaways
1. Fast-Track Career Prospects :
With a growing need for individual with the knowlede of how to use the gen ai, agentic ai un business analytics, by 2025 the business analytics indutry in india is expected to be at $16million, Our AI-powered business analyst training course will train you for in-demand roles like Data Scientist and Business Analyst.
Rewarding Career :
A business analytics course with generative AI will your salary benchmark remarkabally. Fresher, as entry level analysts earn well, and roles in business intelligence or data science pay significantly more. The business analytics with agentic AI curriculum equips you for these high-paying jobs.
Practical, Hands-on Learning :
Our robust, well structured 10 months curriculum + 2 months capstone, in business analytics prgram in Gen AI, agentic AI will enable you to solve real time business problems with and builds a profile that will get you hired by top companies.
Competitive Edge with Advanced Skills :
Our AI integrated business analytics programs offers a great blend of business fundamentals along with the use of advanced ai tools, making you a highly sought after professional in todays data driven global makret
Learning Summaries
- Data pre-processing is Crucial: Understanding how to clean, transform, and prepare raw data (handling mission values, outliers, scaling, encoding) is fundamental for building effective machine learning models. The quality of data directly impacts model performance.
- Machine Learning Algorithms: Various algorithms (e.g., linear regression, decision trees, clustering) are suited for different types of problems (regression, classification, unsupervised learning). Choose the right algorithm that depends on the data characteristics and the desired outcomes.
- Essential Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics (e.g., accuracy, precision, recall, F1-score, RMSE) and techniques (e.g., train-test split, cross-validation) to ensure generalization to unseen data.
- Bias and Variance Trade-off: Understanding the concepts (under-fitting) and variance (overfitting) and how to manage this trade-off is key to building models that perform well on new, unseen data.
- AI comes with a Range of Capabilities: Artificial Intelligence is a wider field than just machine learning, including areas like natural language processing (NLP), computer vision, and robotics, all aiming to create intelligent agents.
- Machine Learning is a Subset of AI: ML provides algorithms that enable computers to learn from data without explicit programming, forming a core component of many modern AI systems.
- Deep Learning Leverages Neural Networks: Deep learning, a subfield of ML, utilizes artificial neural networks with multiple layers to learn intricate patterns from large datasets, achieving significant breakthroughs in areas like image recognition and NLP.
- Ethical Considerations: Paramount in AI development, recognizing and addressing potential biases, fairness issues, and the societal impact of AI technologies is crucial for responsible innovation and deployment.
- Transforms Raw Data into Actionable Insights: The process involves collecting, cleaning, analysing, interpreting, and visualizing data to uncover patterns, trends, and valuable information for decision-making.
- Different Analytics Serve Different Purposes: Descriptive analytics (what happened?), diagnostic analytics (why did it happen?), predictive analytics (what will happen?), and prescriptive analytics (how can we make it happen?) provide a framework for understanding data at various levels.
- Visualization offers Effective Communication: Presenting data insights through charts, graphs, and dashboards makes complex information accessible and understandable to stakeholders, facilitating better decision-making.
- Statistical Methods Underpin Data Analysis: Understanding fundamental statistical concepts like probability, distributions, hypothesis testing, and regression analysis is essential for drawing meaningful and reliable conclusions from data.
Data Analytics AI Machine Learning
Enrolling in data analytics AI machine learning combo course offers numerous advantages in recent data-driven world. This interdisciplinary skillset is highly sought after across various industries, leading to a wide range of well-paying job roles such as Data Scientists, Machine Learning Engineer, AI Specialist, Business Intelligence Analyst, and more.
- Versatile and Future-Proof Skillset: The AI ML Data Analytics combo course provides a strong foundation in data handling, analytical techniques, and intelligent system development, making graduates adaptable to technologies and various industry needs.
- Comprehensive Understanding and Synergy: This combo course allows you for a deeper understanding of how they interrelate. The combination provides the foundation for data-driven insights, predictive modelling and automation, and boarder goal of creating intelligent systems.
- Problem-solving and Innovation Capabilities: The course equips you with the skills to analyze complex datasets, identify patterns, build intelligent solutions, and communicate data-driven insights effectively. This fosters critical thinking and collaborative opportunities to innovation.
I'm Interested in this program?
Certifications for Business Analytics Next-Gen AI Course
Once you completed Business Analytics Next-Gen AI course, you will get globally recognized certification from Win in Life Academy.
Globally Recognised Certification
Educational Board of Vocational Training and Research
Note: To secure your certification for PG Diploma in Business Analytics Next-Gen AI Course course certificate, you must successfully complete the training from Win in Life Academy.
Tools to be Covered in Business Analytics Next-Gen AI Course
python
SQL
Jupyter Notebook
Pandas
Scikit-learn
TensorFlow
Tableau
R programming
Apache Spark
Git
Disclaimer :
The tools, software, platforms and datasets presented within the PG Diploma Business Analytics Next-Gen AI Course are provided solely for educational purposes to facilitate learning and understanding of relevant concepts and techniques. It should not be considered suitable or optimized for real-world production environments.
These tools may have limited functionality, trial version, or specific configurations for educational use and may involve inherent risks such as data loss or system instability, for which we offer no guarantees or warranties regarding their performance, reliability, accuracy or suitability beyond their educational demonstration.
Master 20+ essential industry tools
PG Diploma in Business Analytics Next-Gen AI Course Curriculum
Expert Designed PG Diploma in Business Analytics Next-Gen AI Course for Students and Professionals
A comprehensive Data Analytics AI Machine Learning combo course certification, crafted by industry experts will propel you towards your ideal career.
PG Diploma in Business Analytics Next-Gen AI Course Curriculum
Module 1
English Communication & Grammar
- Basics of Communication
- Grammar and Vocabulary
- Verbal Communication Skills
- Written Communication
- Non-verbal Communication
- Confidence and Public Speaking
- Professional Communication Etiquette
- Practical Application
- Continuous Learning
Module 2
Mock Interviews
(Practice Assessment Test)
- Personal Introduction
- Technical Skills
- Problem-Solving
- Behavioral Insights
- Industry Knowledge
- Hypothetical Scenarios
- Soft Skills
Module 3
Corporate Etiquette
- Making the Most of Meetings
- Dressing Right for the Workplace
- Being Respectful and Thoughtful at Work
- Keeping Your Workspace Clean and Organized
- Using Technology Responsibly
- Dining with Manners in Professional Settings
- Building Relationships Through Networking
- Best Practices for Virtual Meetings and Online
- Communication
- Managing Your Time and Meeting Deadlines
- Understanding and Respecting Cultural Differences
- Leaving a Job Gracefully
Module 4
Aptitude
Program Modules for Business Analytics Next-Gen AI Course
This comprehensive curriculum is designed to take you from the fundamentals of data handling to advanced data analysis and visualization techniques. It's structured across seven modules to provide a progressive and thorough learning experience:
Month 1-2
- 40 - 50 hrs
Business Analytics Foundations & Generative AI Basics
- Role of analytics in 2025
- Data-driven vs. intuition-based decisions
- AI-driven analytics vs traditional analytics
- Business problem formulation & ROI mapping
- Data types, Big Data (5Vs), data quality
- Modern data architecture (Data Lakes, Warehouses, Lakehouses)
- Cloud platforms: AWS, Azure, GCP
- Tools: Python (Pandas, NumPy), SQL, NoSQL
- Introduction to Excel & Google Sheets for Analytics
- LLM architecture & capabilities
- ChatGPT, Claude, Gemini, Mistral for analytics
- Prompt engineering: zero-shot, few-shot, chain-of-thought, RTFC
- AI-powered analysis: NL-to-SQL, automated report generation
Project: Build a data quality pipeline & AI-powered BI dashboard (10 hrs)
Highlights
Month 3
- 20 – 25 hrs
Statistics, Experimentation & Causal Analysis
- Probability & inference
- Hypothesis Testing
- Bayesian vs Frequentist methods
- Modern A/B testing (multi-armed bandits, sequential tests)
- Causal inference (Difference-in-Differences, IV, Propensity Scores)
- Tools: R, Python (SciPy, statsmodels, PyMC3)
- Project: Multi-variant experiment for e-commerce
Highlights
Month 4
- 20 - 30 hrs
Descriptive, Diagnostic & Real-Time Analytics with visualization and BI tools
- Principles of Data Visualization
- Real-time dashboards: Tableau, Power BI, Streamlit, Plotly Dash
- Time series forecasting (ARIMA, Prophet, SARIMA)
- Diagnostic analytics: Root cause analysis, anomaly detection
- Project: Real-time sales performance dashboard with alerts
Highlights
Month 5
- 20 - 30 hrs
Predictive Analytics – Machine Learning Foundations
- What is machine learning and types of machine learning
- Supervised vs unsupervised learning
- Supervised learning: Regression vs Classification
- Decision Trees, random forest, Gradient Boosting, SVM
- Model evaluation: Cross-validation, hyperparameter tuning
- ML pipelines & MLOps basics
- Tools: Scikit-learn, XGBoost, MLflow, Kubeflow
- Project: Customer churn prediction pipeline
Highlights
Month 6
- 20 - 30 hrs
Deep Learning & Generative AI Applications
- What is Deep learning and neural network
- Neural networks: CNN, RNN, LSTM, Transformers
- Computer vision for retail & manufacturing analytics
- NLP: Sentiment analysis, NER, summarization, Q&A
- Generative AI for content & report automation
- Tools: TensorFlow, PyTorch, Hugging Face
- Project: Social media sentiment & automated insights system
Highlights
Month 7
- 20 - 30 hrs
Unsupervised Learning & Recommendation Systems
- Clustering: K-means, DBSCAN, GMM
- Dimensionality reduction: PCA, t-SNE, UMAP
- Association rule mining & recommendation engines
- Project: Customer segmentation & product recommendation
Highlights
Month 8
- 20 - 30 hrs
Agentic AI for Business Analytics
- What are AI agents & multi-agent systems?
- Difference between generative AI & agentic AI
LangChain Agents, AutoGPT, CrewAI, OpenAI function calling
- Autonomous data retrieval, workflow automation
- Planning & reasoning (ReAct, Plan-and-Act)
- Tool & API integration
- Automated KPI monitoring
- Competitor intelligence gathering
- Cross-department process orchestration
- Human-in-the-loop oversight
- Agent guardrails & ethical compliance
Highlights
Month 9
- 20 -30 hrs
Cloud, Big Data & Agent-Oriented Automation
- Cloud-native analytics (AWS SageMaker, Azure Synapse, GCP Vertex AI)
- Big Data: Spark, Kafka, Hadoop
- Agentic AI for process automation & IoT
- Integrating RPA (UiPath) with LLM agents for intelligent workflows
- Project: End-to-end automated business analytics pipeline using agent orchestration
Highlights
Month 10
- 20 - 30 hrs
Business Intelligence, Data Storytelling & AI-Augmented Decision-Making
- Advanced visualization: D3.js, geospatial, financial modeling
- Data storytelling for executives
- AI-augmented decision support systems
- Self-service analytics enablement with agent assistants
- Project: AI-augmented executive decision dashboard
Highlights
Month 11-12
- 40 - 50 hrs
Capstone Project & Industry Integration
- End-to-end business analytics + generative AI + agentic AI solution
- Real client or simulated industry problem
- Problem identification → Data collection → AI/ML modeling → Agent orchestration → Deployment
- Industry mentorship & stakeholder presentation
- Technical documentation & change management
- Quantum AI for optimization
- Blockchain for analytics data integrity
- Augmented analytics & low-code/no-code agent platforms
- Responsible AI & compliance
Highlights
Our Distinctive Approach
We deliver an exceptional PG Diploma in Business Analytics Next-Gen AI Course journey by blending advanced tools, meticulously crafted curriculum, and guidance from seasoned industry experts.
Applied Learning & Real-World Projects
We prioritize practical application through extensive hands-on projects, solidifying theoretical understanding and mirroring current industry practices.
Expert Mentorship from Leading Professionals
Our instructors provide deep insights and stimulate critical thinking, ensuring your knowledge is aligned with the latest AI/ML advancements, establishing a new standard in education.
Career Advancement & Networking
As a graduate of our program, you gain access to valuable networking opportunities and career resources, empowering you to secure impactful roles and internships within the AI/ML field.
Program Fees
New Batches Starts Every 15th & 30th
₹1,50,000 (*Incl. Taxes)
Note: 0% interest rates with no hidden cost
Programme Faculty
What's Unique About This Program?
Why is our PG Diploma in Business Analytics Next-Gen AI the top choice?
Features
Industry-Focused Curriculum
Placement mentorship program
Corporate Etiquette Sessions
Capstone projects
LMS Course kit
EC Council collaboration
Recorded Video
1:1 Personalized Mentorship
Placement Mock Interviews
Interdisciplinary expertise
Industry Expert sessions
WILA
Institute 1
Institute 2
Institute 3
Success Stories
Graduate Perspectives
Win in Life’s Business Analytics Next-Gen AI Course Accreditations
Best Data Analytics AI and ML Combo Course training by experienced faculty and industry leaders in the form of pre-recorded videos, projects, assignments, and live interactive sessions.
Connect with our graduates
Have questions? Reach out to our alumni!
Find WILA alumni profiles and know more about their career path, specialisation and more.
Frequently Asked Questions (FAQs)
Program Overview :
What is the Business Analytics with Generative AI & Agentic AI programme all about?
This program is a great mix of business analytics expertise and the most in-demand AI technologies, such as generative AI, agentic AI, predictive analytic, AI-enabled vi visualisations, keeping it industry relevant
How is this course different from a regular business analytics course?
How is this course different from a regular business analytics course?This programme prepares you for future-ready roles in analytics, intelligence, and AI-powered decision-making by integrating state-of-the-art AI tools and applications, in contrast to traditional programmes.
Who is this course for?
Fresh graduates, preferably from a technology background, seasoned professionals or individuals looking to change careers and wish to upskill in the field of data analytics and AI tools.
Do I need prior coding experience?
No. The course starts with the fundamentals and gradually advances to more complex subjects. However, you will learn more quickly if you are familiar with Excel or data handling.
Curriculum & Learning :
What will I learn in the course?
In addition to practical instructions in Python, R, Tableau, and Power BI, you will study the foundations of business analytics, generative and agentic artificial intelligence, machine learning, predictive analytics, and AI-powered visualisation.
What is the format of the course?
The 12-month programme consists of a 2-month real-world capstone project after 10 months of structured learning.
What is the capstone project?
Using all of your knowledge, you will tackle a genuine business problem and produce a project that is suitable for your portfolio.
Do classes take place in real time, or are they recorded?
We provide both recorded sessions and live, in-depth masterclasses so you can study at your pace and go over material at any time.
Career Results :
What is the Business Analytics with Generative AI & Agentic AI programme all about?
Across sectors like IT, finance, healthcare, and e-commerce, roles include data scientists, business intelligence analysts, and AI-powered business analysts, among others.
How much do graduates of this program typically make?
While seasoned professionals in AI-driven analytics roles can make ₹12–14 LPA or more, entry-level analysts usually make ₹3–7 LPA.
Does the program help with placement?
Indeed. In addition to resume building, mock interviews, and connections to top recruiters, we offer committed career support.
For these skills, which companies hire?
Graduates can find employment with Fractal Analytics, Tiger Analytics, TCS, Zomato, Deloitte, Accenture, Infosys, EY, and numerous rapidly expanding startups.
Credentials & Certifications :
Will a certificate be given to me?
Yes, post completion of the program you will be presented with a PG Diploma in Business Analytics & Intelligent Agents by win in life academy
Does the certification have international recognition?
Is since we are accredited with IAO, this certificate is valid in 180 countries. Our curriculum meets industry standards, making your skills applicable anywhere in the world.
Admission and Charges :
What are the requirements for eligibility?
A bachelor’s degree in any field is ideal, as are a willingness to learn and a foundational understanding of analysis.
How much does the course cost?
Indeed. To make the program accessible, we provide flexible EMI and instalment options.
Can I make payments in installments?
Indeed. In addition to resume building, mock interviews, and connections to top recruiters, we offer committed career support.
Experience of Learning :
Is this course offered online or in person?
In addition to group projects, mentorship, and interactive live sessions, it is delivered online.
Will I receive one-on-one coaching?
Yes, throughout the course, you will have access to seasoned mentors who can offer you personalised advice.
How much time should I set aside every week?
To stay on track, we advise 8–10 hours per week, but you can modify this according to your schedule.
