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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 flagship program blends the core foundations of Artificial Intelligence and Machine Learning with the latest advancements in Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI. Designed for college students and fresh graduates, the program takes a hands-on approach with projects, real-world case studies, and industry-relevant tools. Learners graduate with both career-ready skills and future-ready expertise to thrive in tomorrow’s AI-driven world.
What You Will Learn
- Mathematics for AI ML – Linear Algebra, Calculus, Probability & Statistics
- Python Foundations – Programming essentials for Data Science & Machine Learning
- Core concepts of AI & ML and their practical applications
- Hands-on training with frameworks like Scikit-learn, TensorFlow & PyTorch
- Building predictive models and solving real-world challenges
- Exploring Generative AI & Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG) for enhanced AI capabilities
- Agentic AI & autonomous systems for workflow automation and innovation
- Capstone projects that combine AI/ML with Generative AI, RAG & Agentic AI
- Career guidance to explore opportunities in AI, IT & emerging fields
Tools & Technologies Covered
- Statistics and Maths: Linear Algebra, Calculus
- Programming & Data Science: Python, NumPy, Pandas, Matplotlib, Seaborn
- Machine Learning Frameworks: Scikit-learn, TensorFlow, PyTorch
- Data Handling & Databases: SQL, NoSQL, Excel
- Version Control & Collaboration: Git, GitHub
- Generative AI & LLM Tools: OpenAI APIs, Hugging Face, LangChain
- RAG & Agentic AI: Pinecone, FAISS, LlamaIndex, Autonomous Agent Frameworks
- Productivity Tools: Jupyter Notebooks, Google Colab, VS Code
Minimum Qualification & Requirements:
- Open to college/university students, fresh graduates
- A computer with internet access and ability to run AI/ML tools
- No prior experience required — curiosity, math aptitude, and logical thinking are enough
Additional Program Benefits
Enrolling in our certification programs doesn’t just give you world-class learning — it also comes with exclusive career and learning support designed to help you succeed.
- 100% Job Assistance – Dedicated placement support to connect you with top recruiters.
- 100% Assured Internship – Guaranteed internship opportunities to gain real-world experience.
- Resume Preparation – Professional resume building tailored for AI & IT roles.
- Mock Interviews – Practice sessions with industry experts to boost your confidence.
- 1:1 Career Guidance – Personalized mentorship to align your skills with career goals.
- Lifetime Access to Learning Material – Revisit course content anytime to refresh your skills.
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
Linear Algebra, Calculus and Statistics for machine learningIntroduction to Python for AIData Structures, Loops & FunctionsLibraries: NumPy, Pandas, Matplotlib, SeabornData Cleaning & PreparationMini Project: Exploratory Data Analysis with PythonWhat is Artificial Intelligence? – History, Applications, Use CasesMachine Learning Basics – Supervised vs Unsupervised vs Reinforcement LearningRegression & Classification ModelsDecision Trees, Random Forests, KNNProject 1: Predictive Analytics on Real-World DatasetFeature Engineering & SelectionModel Evaluation: Accuracy, Precision, Recall, F1-ScoreEnsemble Methods: Bagging, Boosting, XGBoostHyperparameter Tuning & OptimizationProject 2: End-to-End ML PipelineNeural Networks – Perceptrons, Activation Functions, BackpropagationIntroduction to TensorFlow & PyTorchBuilding Deep Neural Networks (DNNs)Project 3: Build a Deep Learning ModelIntroduction to CNNs (Convolutional Neural Networks)Image Classification & Transfer LearningObject Detection & RecognitionProject 4: Image Classification / Object Detection ModelText Preprocessing & Feature ExtractionWord Embeddings: Word2Vec, GloVeSequence Models: RNN, LSTM, GRUTransformers & Attention MechanismsProject 5: Text Classification / Sentiment AnalysisIntroduction to Generative AILarge Language Models (LLMs): GPT, BERT, T5Prompt Engineering & Fine-TuningCreative AI Applications: Text, Image, Video, Code GenerationProject 6: Build a Generative AI Tool (e.g., Content Generator)Retrieval-Augmented Generation (RAG): Concepts, Tools, and Use CasesBuilding AI Apps with LangChain, Pinecone, FAISSIntroduction to Agentic AI – Autonomous Agents & Workflow OrchestrationApplications in Business, Productivity, and AutomationProject 7: Build an AI Agent with RAG + LLMsIntegrated AI Solution: Combine ML + Generative AI + RAG + Agentic AIProject Examples: AI-powered Chatbot, Smart Recommendation System, Automated Research AssistantPresentation & Demo to PanelCourse Advantage
Top Job Roles
- AI & Machine Learning Engineer
- Generative AI Engineer/Specialist
- Data Scientist AI & ML
- Applied AI Engineer
- AI Solutions Architect (Generative AI Focus)
Package
- Entry Level: 10 LPA
- Mid-Level: 20 LPA
- Senior Level : 30 LPA
- Lead/Expert Level : 35+ LPA
₹30,000₹35,000-
Duration
6 Months -
Language
English -
Skill level
Advanced -
Certificate
Yes -
Projects
7 Mini + 1 Final Capstone
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