AI ML Training Course Ahmedabad
Corextrime: Premier AI & ML Training Course in Ahmedabad
Unlock your future with Corextrime’s AI & ML Training Course in Ahmedabad—designed for aspiring professionals seeking hands-on learning, real world projects, and guaranteed career support.
Our program builds upon Corextrime’s proven strength in AI, Machine Learning, and Deep Learning education, leveraging highly structured modules and practical exposure.
What You’ll Experience:
Expert-Led Live Classes: Industry-certified trainers walk you through Python, ML algorithms, Deep Learning, NLP, and AI applications—with real-time interaction.
Hands-On Learning: Each session features laboratory exercises—from neural network building to AI model deployment—mirroring top institutes in Ahmedabad.
Real-World Projects & Capstone Work: Practice deploying AI solutions to common business challenges, just like the robust project frameworks offered by other local players.
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Why Ahmedabad Learners Prefer Corextrime
With our practical, project-based approach, learners gain not just knowledge but confidence to deploy AI solutions in real-world scenarios. Our emphasis on career readiness, tool proficiency, and advanced AI concepts makes Corextrime the top choice for AI & ML Training in Ahmedabad.
Full-Spectrum AI Curriculum: From foundational Python to advanced ML, AI systems, NLP, and Deep Learning.
Proven Outcomes: Strong placement assistance, certification readiness, and local industry alignment—hallmarks of Corextrime’s positioning.
Ahmedabad-Centric Focus: Tailored training reflecting the regional demand for AI/ML skills and career opportunities in local industry hubs.
Why Choose Corextrime?
Industry-Expert Trainers: Learn from certified AI/ML professionals with real industry experience.
Hands-On Projects: Apply your knowledge through practical exercises, from Python programming to Deep Learning, NLP, and Generative AI.
Advanced Curriculum: Covering Python for AI/ML, Supervised & Unsupervised Learning, NLP, Deep Learning, Generative AI, Agentic AI, and real-world projects.
Certification Ready: Get prepared for globally recognized AI/ML certifications, boosting your credibility in the job market.
Career Support: Resume building, mock interviews, and placement assistance tailored to Ahmedabad’s tech industry.
Enroll Today to start your AI & ML journey and become a future-ready AI professional with Corextrime!
AI ML Training Course
Here’s a detailed AI/ML training course structure covering:
- Python for AI/ML
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Deep Learning
- Generative AI (GenAI)
- Agentic AI
- Real-World Live Project
🔹 1. Python for AI/ML
Topics
- Python basics: Data types, control flow, functions
- NumPy, Pandas, Matplotlib, Seaborn
- File handling and data ingestion (CSV, JSON, Excel, APIs)
- OOPs, Exceptions, Modules
- Virtual environments & package management
- Intro to Jupyter Notebooks & Colab
Assignments
- Data wrangling with Pandas
- Plot COVID-19 trends using Matplotlib/Seaborn
- Build your own calculator or contact book using OOP
🔹 2. Machine Learning
Topics
- ML Lifecycle & Supervised vs Unsupervised
- Linear & Logistic Regression
- Decision Trees, Random Forest, KNN, SVM
- Model Evaluation: Accuracy, Precision, Recall, F1, ROC
- Cross-validation, Grid Search
- Unsupervised: K-Means, Hierarchical, DBSCAN
- Dimensionality Reduction: PCA, t-SNE
- Feature Engineering & Scaling
- Model Deployment Basics (Flask, Streamlit)
Core Algorithms
- Regression:
- Linear, Ridge, Lasso
- Random Forest, XGBoost Regressor
- Classification:
- Logistic Regression, KNN, SVM
- Decision Trees, Random Forest
- Naive Bayes, Gradient Boosting
- Unsupervised Learning:
- K-Means, DBSCAN, Hierarchical Clustering
- PCA, t-SNE, UMAP (Dimensionality Reduction)
Assignments/Use Cases
- Predict sales, demand, pricing (Regression)
- Classify spam emails, customer churn (Classification)
- Segment users/customers (Clustering)
- Detect anomalies in transactions (Outlier detection)
- Reduce features for model performance (Dimensionality Reduction)
🔹 3. NLP (Natural Language Processing)
Topics
- Text cleaning (stopwords, stemming, lemmatization)
- Bag of Words, TF-IDF
- Word Embeddings: Word2Vec, GloVe
- Named Entity Recognition
- POS tagging
- Topic modeling (LDA)
- Text classification with traditional ML
- Basic Transformers (BERT/DistilBERT intro)
Core Topics
- Text cleaning, Tokenization, Lemmatization
- Stopword Removal, POS Tagging, NER
- TF-IDF, Count Vectorizer, Bag of Words
- Text Classification using Naive Bayes, SVM
- Topic Modeling: LDA
Assignments/Use Cases
- Chatbot input pre-processing
- Sentiment analysis of reviews
- Auto-tagging support tickets
- Extracting keywords & named entities
- Email classification & spam detection
🔹 4. Deep Learning
Topics
- Neural Networks: Architecture, forward/backpropagation
- Activation Functions, Losses, Optimizers
- CNNs for image processing
- RNNs, LSTMs for sequences
- Overfitting & regularization (dropout, batch norm)
- Transfer Learning (VGG, ResNet, MobileNet)
- Model evaluation metrics
- TensorFlow/Keras or PyTorch basics
Core Models
- Feedforward Neural Networks
- CNN (Convolutional Neural Networks)
- RNN, LSTM, GRU (Sequence Models)
- Autoencoders
Frameworks
- TensorFlow, Keras, PyTorch
Assignments/Use Cases
- Image classification (CNN for defect detection, medical imaging)
- Stock price forecasting (LSTM/GRU)
- Audio emotion detection
- Anomaly detection using Autoencoders
- OCR (optical character recognition)
🔹 5. Generative AI (GenAI)
Topics
- Introduction to GenAI and foundation models
- Text generation with GPT (OpenAI, HuggingFace)
- Prompt engineering basics
- Image generation (DALL·E, Stable Diffusion)
- Fine-tuning transformers (LoRA, PEFT concepts)
- RAG (Retrieval-Augmented Generation)
- Vector databases (FAISS, Pinecone, Chroma)
Core Topics:
- Transformer architecture
- Pretrained LLMs (GPT, BERT, LLaMA, Mistral)
- Prompt engineering
- Fine-tuning (LoRA, QLoRA)
- RAG (Retrieval-Augmented Generation)
- Embeddings (OpenAI, HuggingFace)
- Vector DBs (Pinecone, FAISS, ChromaDB)
Assignments/Use Cases
- Create a custom prompt to generate interview questions
- Generate product descriptions from specs
- Text summarizer using pre-trained LLMs
- Summarizing documents/emails
- Chatbot responses with context memory
- Code generation (Copilot-like tools)
- Creating personalized recommendations
- Knowledge base search with RAG
- Marketing content or email generation
🔹 6. Agentic AI (Autonomous AI Agents)
Topics
- What is an AI agent? Overview of Agentic AI
- Planning + Execution loop (ReAct, AutoGPT, BabyAGI)
- LangChain/AutoGen agents
- Tool use & chaining (search, file access, calculator, code executor)
- Goal-driven task breakdown
- Multi-agent collaboration
- Agent memory & context management
Core Concepts:
- Autonomous AI agents (task loops, goal-driven behavior)
- Function/tool calling
- Memory and planning
- Agent collaboration (CrewAI, Autogen)
Tools:
- LangChain Agents
- Microsoft Autogen
- AutoGPT, BabyAGI
- CrewAI
Assignments/Use Cases
- Use LangChain to create a multi-step agent
- Design a simple assistant that reads PDFs and answers questions
- Agent that performs research + summarizes content
- Automated email handling (read, summarize, draft)
- Daily task planning and execution
- Autonomous data scraping + report generation
- Self-improving bots for documentation or CRM
- Workflow bots (marketing campaigns, HR onboarding)
Real-World Live Project (Anyone)
Project Ideas
- Multi-agent AI Chatbot (Agentic AI + Vector DB + GenAI)
- Smart Loan Approval System (Python + ML)
- AI-Powered Resume Shortlister (NLP)
- Medical Diagnosis Assistant (Deep Learning + CV)
- PDF Question Answering Chatbot (GenAI + RAG)
- AI Customer Service Agent (Agentic AI)
- Smart Financial Analyst Bot (Multi-skill AI)
- Retail Sales Forecasting Dashboard (ML + Time Series)
- Legal Document Analyzer (NLP + GenAI)
- Autonomous Research Assistant
- AI Workflow Agent for HR/Finance Tasks
- Multi-agent RFP Generator + Reviewer System
- AI Resume Writer from raw profile data
- Chatbot using RAG + LLM for support FAQs
- AI-powered Slide/Report Generator from notes
- Face Mask Detection in Images
- Handwritten Digit Recognition App
- Stock Price Trend Prediction using LSTM
- News Category Classifier
- Chat Sentiment Analyzer
- Resume Parser using NER
- Loan Default Prediction
- Email Spam Detection System
- E-commerce Product Recommendation System
- Sales Data Analysis Dashboard
- Weather Data Visualizer using APIs