Artificial Intelligence & Machine Learning Training in Ranchi

Codezeal Technologies • Ranchi

Artificial Intelligence & Machine Learning Training in Ranchi

Codezeal is a leading technical training center in Ranchi offering practical, industry-focused Artificial Intelligence and Machine Learning training with live projects. Our primary focus is to deliver quality education and develop analytical programming skills in candidates so they can build successful technical careers in the evolving software industry.

Designed by experienced industry practitioners, this program prepares you for modern data-driven roles through practical coding sessions in Python, statistical modeling, machine learning algorithms, and real-world project development.

Program Core Pillars

Python & Data Analysis

Master Python fundamentals, NumPy, Pandas, data cleaning, and data visualization to manipulate and inspect complex datasets.

Machine Learning (ML)

Build and evaluate supervised and unsupervised models including Regression, Decision Trees, Random Forests, and Clustering.

Deep Learning & Neural Networks

Understand neural network architectures, forward and backpropagation, activation functions, and foundational computer vision concepts.

Natural Language Processing (NLP)

Learn text preprocessing, tokenization, sentiment analysis, language models, and deploy trained models via lightweight REST APIs.

Scope of AI & Machine Learning in Ranchi

Artificial Intelligence and Machine Learning are central drivers of technical automation across finance, healthcare, e-commerce, and software services. In growing technology centers like Ranchi, the demand for developers with practical skills in Python and machine learning is expanding steadily. Comprehensive training in algorithm design and model implementation provides candidates with an advantage when targeting software and data engineering roles.

Key Benefits of AI & ML Training

  • Start Your AI Career: Prepare for developer roles such as Machine Learning Engineer, AI Associate, or Data Analyst.
  • Core Technical Skills: Build practical proficiency in Python, Scikit-Learn, data modeling, and algorithm evaluation.
  • Predictive Problem Solving: Learn to analyze real-world data patterns and automate predictive tasks with code.
  • Portfolio Live Projects: Develop end-to-end applications including recommendation engines, classifiers, and analytical tools.

Book a Free Technical Consultation

Discuss your career goals, evaluate our live project curriculum, and plan your AI & Machine Learning learning path with our mentors.

Modes: Classroom Lab & Online Live Center: Codezeal Technologies, Ranchi
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AI & MACHINE LEARNING SYLLABUS

ARTIFICIAL INTELLIGENCE & MACHINE LEARNING SYLLABUS

Module 1

Common Programming Languages and Tools
▸ Python: data types, functions, OOP, exceptions, modules, file handling
▸ Intermediate Python: comprehensions, iterators, generators, decorators
▸ NumPy: arrays, vectorization, broadcasting
▸ Git, GitHub, virtual environments, Jupyter Notebook
▸ SQL: PostgreSQL, joins, grouping, subqueries, CTEs, window functions
▸ Basic JavaScript basics for web integration
Module 2

Data Analytics
▸ Statistics: mean, median, variance, standard deviation, probability
▸ Pandas: filtering, missing values, duplicates, groupby, merge, pivot
▸ Data cleaning, exploratory data analysis (EDA)
▸ Matplotlib and Seaborn: charts and distributions
▸ Excel: formulas, pivot tables, Power Query basics
▸ Power BI: data modeling, relationships, DAX basics, interactive dashboards
▸ Business metrics, KPI analysis, communicating insights
Module 3

Machine Learning
▸ Linear algebra basics: vectors, matrices, dot products
▸ Calculus basics: derivatives and gradients
▸ Supervised vs. unsupervised learning
▸ Linear and logistic regression
▸ Decision trees, random forests, gradient boosting
▸ K-nearest neighbors, Naive Bayes, SVM fundamentals
▸ K-means clustering, PCA
▸ Feature engineering, encoding, scaling, train/test split
▸ Cross-validation, data leakage, overfitting and underfitting
▸ Metrics: MAE, RMSE, accuracy, precision, recall, F1, ROC-AUC
▸ Scikit-learn pipelines and hyperparameter tuning
Module 4

Modern AI and Generative AI
▸ Neural network fundamentals and backpropagation concepts
▸ PyTorch basics: tensors, datasets, training loops
▸ Deep learning overview: CNNs, embeddings, transformers
▸ LLM fundamentals, tokens, context windows, embeddings
▸ Prompt design, structured outputs, API integration
▸ RAG: document loading, chunking, vector search, retrieval and evaluation
▸ AI application safety, hallucinations, privacy and cost control
Module 5

Deployment and Portfolio
✔ Serve a trained model using FastAPI
✔ Save and load models
✔ Input validation, error handling and logging
✔ Docker basics and environment configuration
✔ Basic model monitoring and reproducibility
✔ GitHub README, project documentation and interview preparation

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Our Artificial Intelligence & Machine Learning Training in Ranchi will help you succeed in your career. Enroll Now


INDUSTRIES WE SERVE

INDUSTRY SPECIFIC TRAINING

Our primary approach is to provide industry-specific training to our learners who have a zeal for working in corporate environments that adhere to respective industries. We offer training which can be acceptable for different industries.


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