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Certification Program in AI, Machine Learning, Generative AI & Agentic AI – AI/ML/Gen AI Engineer & Data Scientist Pathway
Course Overview
This program is designed for working professionals who want to upskill, innovate, and apply AI in their workplace. It blends advanced AI & ML techniques with Generative AI, RAG, and Agentic AI, focusing on business applications and real-world impact. Learners will gain hands-on expertise in building AI-driven solutions that enhance productivity, automate workflows, and drive innovation across industries. By the end, participants will be equipped to lead AI initiatives and make data-driven business decisions.
What You Will Learn
- Python Foundations for AI – Refresher on Python for ML & Data Science
- Advanced AI & ML concepts applied to business use cases
- AI in automation, data-driven decisions & productivity improvement
- Hands-on with frameworks: TensorFlow, PyTorch, Scikit-learn
- Generative AI for content, code, and creative business solutions
- RAG (Retrieval-Augmented Generation) for enterprise AI apps
- Agentic AI for autonomous workflows & organizational efficiency
- Capstone projects solving real workplace challenges
- Strategies for career growth & leading AI initiatives
Tools & Technologies Covered
- Programming & ML: Python, TensorFlow, PyTorch, Scikit-learn
- Generative AI Tools: OpenAI APIs, Hugging Face, LangChain
- RAG & Agentic AI: Pinecone, FAISS, LlamaIndex, Autonomous Agent Frameworks
- Collaboration Tools: Git, GitHub, Cloud (AWS/GCP/Azure)
- Productivity: Jupyter, Google Colab, VS Code
Minimum Qualification & Requirements:
- Designed for working professionals with IT, Computer Science, Engineering, or business-technology backgrounds
- Laptop/PC with internet access and ability to run AI/ML frameworks
- Familiarity with programming (Python preferred) and basic math/statistics helpful
Additional Program Benefits
Our professional certification programs are designed not only to upskill you in AI & ML but also to help you advance your career and lead innovation in the workplace.
- Career advancement support - to explore new opportunities or transitions.
- Resume & LinkedIn Profile Optimization – Position yourself as an AI-driven professional.
- Mock Interviews & Case Study Practice – Prepare for leadership roles and technical interviews.
- 1:1 Career Mentorship – Personalized guidance to map your career path and growth strategy.
- Lifetime Access to Learning Material – Stay updated with evolving AI trends and tools.
Modes of Learning:
- Classroom Learning – In-person, interactive sessions at our academy
- Online Instructor-Led – Live virtual classes with real-time guidance
- Online Self-Paced – Pre-recorded lessons to learn anytime, anywhere
Python Refresher: Data Types, Loops & FunctionsLibraries for Professionals: NumPy, Pandas, MatplotlibData Cleaning & Preprocessing for Business DatasetsMini Project: Analyze & Visualize Business Data with PythonThe Role of AI in Business TransformationKey AI/ML Applications Across IndustriesCase Studies: AI Success Stories in Automation & Decision-MakingDiscussion: Identifying AI Opportunities in Your OrganizationSupervised & Unsupervised ML for Workplace ApplicationsPredictive Analytics for Business ForecastingClassification & Clustering in Customer/Market SegmentationProject 1: Business Forecasting Model (Sales/Finance/HR data)Ensemble Learning (Random Forest, XGBoost, Gradient Boosting)Feature Engineering for Enterprise DataModel Deployment & Monitoring in ProductionProject 2: End-to-End ML Pipeline for Real-World DataNeural Networks for Business SolutionsImage Classification for Manufacturing, Retail & HealthcareTransfer Learning for Industry-Specific ApplicationsProject 3: Build an AI Vision Model (e.g., Quality Check System)Sentiment Analysis for Customer Feedback & Brand MonitoringText Classification for Business Process AutomationTransformer Models for Chatbots & Virtual AssistantsProject 4: Build a Customer Support ChatbotGenerative AI for Content, Marketing & Code AssistanceLarge Language Models (LLMs): GPT, BERT & BeyondPrompt Engineering for Business ApplicationsProject 5: AI-Powered Content/Document GeneratorRAG for Enterprise Search & Knowledge ManagementTools: LangChain, Pinecone, FAISSBuilding Custom Knowledge-Enhanced LLMsProject 6: RAG-Based Enterprise AI AssistantWhat is Agentic AI? – Agents, Tools & WorkflowsBuilding Autonomous Business Agents for ProductivityCase Studies: Agentic AI in HR, Finance & IT OperationsProject 7: Build an AI Agent for Workflow AutomationIntegrated Enterprise Solution – Combine ML + Generative AI + RAG + Agentic AI- Example Capstones:
- AI-Powered Document Search Assistant for Legal/Finance
- Smart Business Analytics Dashboard with Predictive Insights
- Autonomous Recruitment Screening & Onboarding Agent
Presentation & EvaluationOutcome: Industry-ready portfolio & certification to lead workplace AI innovation
Top Job Roles
- AI & Machine Learning Engineer – Business Applications
- Generative AI Specialist
- Applied Data Scientist (AI/ML)
- AI Solutions Architect (Enterprise / Workplace)
Packages
- Entry Level: 10 LPA
- Mid-Level: 15 LPA
- Senior Level : 25 LPA
- Lead/Expert Level : 35+ LPA
₹30,000₹35,000-
Duration
6 Months - Theory + Case Studies + Hands-On Labs
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Language
English -
Skill level
Advanced -
Certificate
Yes -
Projects
7 Mini + 1 Final Capstone
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