NXTGEN Intelligence Academy LLP
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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.

Best AI Machine Learning Generative AI Course in Amravati

What You Will Learn

  • Mathematics for AI ML – Linear Algebra, Calculus, Probability & Statistics
  • Python – 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
  • Building Artificial Neural Network Nodels using deep learning
  • Building Computer Vision models with CNNs (Convolutional Neural Networks) for Image Classification / Object Detection
  • Building Models using Natural Language Processing for Text Classification / Sentiment Analysis
  • 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 NLP, 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 learning
Introduction to Python for AI
Data Structures, Loops & Functions
Libraries: NumPy, Pandas, Matplotlib, Seaborn
Data Cleaning & Preparation
Mini Project: Exploratory Data Analysis with Python
What is Artificial Intelligence? – History, Applications, Use Cases
Machine Learning Basics – Supervised vs Unsupervised vs Reinforcement Learning
Regression & Classification Models
Decision Trees, Random Forests, KNN
Project 1: Predictive Analytics on Real-World Dataset
Feature Engineering & Selection
Model Evaluation: Accuracy, Precision, Recall, F1-Score
Ensemble Methods: Bagging, Boosting, XGBoost
Hyperparameter Tuning & Optimization
Project 2: End-to-End ML Pipeline
Neural Networks – Perceptrons, Activation Functions, Backpropagation
Introduction to TensorFlow & PyTorch
Building Deep Neural Networks (DNNs)
Project 3: Build a Deep Learning Model
Introduction to CNNs (Convolutional Neural Networks)
Image Classification & Transfer Learning
Object Detection & Recognition
Project 4: Image Classification / Object Detection Model
Text Preprocessing & Feature Extraction
Word Embeddings: Word2Vec, GloVe
Sequence Models: RNN, LSTM, GRU
Transformers & Attention Mechanisms
Project 5: Text Classification / Sentiment Analysis
Introduction to Generative AI
Large Language Models (LLMs): GPT, BERT, T5
Prompt Engineering & Fine-Tuning
Creative AI Applications: Text, Image, Video, Code Generation
Project 6: Build a Generative AI Tool (e.g., Content Generator)
Retrieval-Augmented Generation (RAG): Concepts, Tools, and Use Cases
Building Gen AI Apps
Introduction to Agentic AI – Autonomous Agents & Workflow Orchestration
Applications in Business, Productivity, and Automation
Project 7: Build an AI Agent with RAG + LLMs
Integrated AI Solution: Combine ML + Generative AI + RAG + Agentic AI
Project Examples: AI-powered Chatbot, Smart Recommendation System, Automated Research Assistant
Presentation & Demo to Panel

Course Advantage

Best AI Machine Learning Generative AI Course in Amravati

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
Best AI Machine Learning Generative AI Course in Amravati
₹30,000 ₹35,000

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NXTGEN Intelligence Academy is committed to providing quality AI education, hands-on learning, internships, certification programs, and career guidance for future technology professionals.

Who Can Join This AI Certification Program?

This program is suitable for BE, BTech, MCA, BCA, BSc, MSc, Diploma students, fresh graduates, working professionals, software developers, and anyone interested in Artificial Intelligence, Machine Learning, Data Science, Generative AI, and future-ready technology careers.