AI/ML Training in Bangalore

About Our AI/ML Training in Bangalore

The AI/ML Training in Bangalore at Infocampus is a carefully structured, job-oriented program that combines the core foundations of Machine Learning with introductory Artificial Intelligence concepts. We begin with Python Programming for AI/ML – syntax, data structures, loops, functions and libraries – and gradually move into Numpy and Pandas for numerical computing and data manipulation.

Alongside programming, we cover Statistics, Probability and Linear Algebra concepts that are essential for understanding how Machine Learning algorithms work. This includes mean, variance, distributions, correlation, and conceptual understanding of vectors and matrices used in ML and Deep Learning.

Once the foundation is ready, we move into Machine Learning with scikit-learn – Regression, Classification, Clustering, Model Evaluation and simple Feature Engineering ideas. You will build models, measure performance and understand where each algorithm is useful in real projects.

The AI/ML Course in Bangalore then introduces Deep Learning basics – what neural networks are, how they differ from traditional ML models and where Deep Learning is applied. You will get an overview of TensorFlow and Keras (intro-level) to understand the AI/ML ecosystem and see sample neural network-style workflows at a conceptual level.

We also provide a basic introduction to NLP (Natural Language Processing) and Computer Vision concepts so you can see how AI is used for text and image-based tasks. Throughout the AI/ML Training in Bangalore, you will work with case studies from domains like e-commerce, finance, marketing, HR analytics and simple recommendation-style scenarios.

The entire training follows a practical, notebook-based learning approach. Each topic is supported by exercises, small projects and doubt-clearing sessions so that you build confidence in writing and understanding AI/ML code.

We provide one of the best AI/ML Training in Bangalore with placement assistance for learners from Marathahalli, BTM Layout, HSR Layout, Silk Board, Electronic City, Whitefield, Hebbal, Indiranagar, JP Nagar, Jayanagar, Rajajinagar, Yelahanka and surrounding areas. Our AI/ML Online Training in Bangalore is suitable for job seekers and working professionals who prefer remote learning with structured guidance and regular practice.

Why Choose AI/ML as a Career in Bangalore?

Artificial Intelligence and Machine Learning have become crucial technologies for companies across almost every domain. Organizations in e-commerce, banking, telecom, healthcare, manufacturing, retail, edtech and SaaS use AI/ML models to predict customer behaviour, improve experience, prevent fraud, automate workflows and personalize content.

By joining a structured AI/ML Training in Bangalore, you open doors to multiple job roles, such as:

• AI/ML Engineer – working on Machine Learning models, integrating models into applications and optimizing performance (with experience).
• Data Scientist – designing experiments, building predictive models and supporting business decision-making with AI/ML techniques.
• Machine Learning Engineer – focusing on ML workflows, pipelines, feature engineering and model evaluation.
• NLP / Computer Vision (Entry Path) – moving into specialized AI roles by combining the AI/ML foundation with further learning.
• Data Analyst / Predictive Analyst – using analytics and baseline ML models to solve business problems.

Bangalore’s ecosystem of AI labs, analytics centers, global capability centers and deep-tech startups makes it one of the best places to build a career in AI/ML. A well-designed AI/ML Course in Bangalore helps you understand expectations and plan your learning path clearly.

Key Highlights of AI/ML Course in Bangalore

Infocampus has structured its AI/ML Training in Bangalore with clear outcomes in mind – helping you understand core AI/ML concepts, write code and solve data-driven problems. Some key highlights include:

• Complete Python for AI/ML – from basics to data handling with Numpy and Pandas.
• Statistics & Probability for AI/ML – focused on use in algorithms rather than heavy formulas.
• Exploratory Data Analysis (EDA) – understanding patterns, outliers and feature relationships.
• Machine Learning Algorithms – regression, classification, clustering with scikit-learn.
• Model Evaluation Metrics – accuracy, precision, recall, F1-score, confusion matrix, RMSE (concept-level).
• Introduction to Feature Engineering, encoding and scaling concepts.
• Deep Learning Basics – understanding neural networks, AI vs traditional ML and where DL is used.
• Overview of NLP concepts – text data basics, tokenization (conceptual) and example use cases.
• Overview of Computer Vision concepts – images as data, basic vision-related examples (conceptual).
• Multiple AI/ML mini-projects and a capstone project to build your portfolio.
• Interview preparation, resume guidance and placement assistance focused on entry-level AI/ML and Data Science roles.

The AI/ML Course in Bangalore is suitable for fresh graduates and experienced professionals who want to move into Artificial Intelligence, Machine Learning and Data Science.

AI/ML Training Syllabus – Step-by-Step Curriculum

The syllabus for our AI/ML Training in Bangalore is divided into modules that progressively build your understanding of AI and ML concepts. Below is a high-level view of the curriculum:

• Module 1: Introduction to AI & Machine Learning
  Concepts of AI vs ML vs Data Science, types of Machine Learning, real-world AI/ML applications, common use cases and overview of AI/ML workflows.
• Module 2: Python Programming for AI/ML
  Python basics – syntax, variables, data types, operators, control flow, functions, lists, tuples, dictionaries and simple programs relevant to data processing.
• Module 3: Numpy – Numerical Computing
  Numpy arrays, indexing/slicing, array operations, broadcasting and simple linear algebra-style operations.
• Module 4: Pandas – Data Preparation & Manipulation
  Series and DataFrame, reading/writing CSV and Excel data, handling missing values, filtering, grouping, merging/joining datasets and preparing data for ML models.
• Module 5: Data Visualization with Matplotlib & Seaborn
  Line plots, bar plots, histograms, boxplots, scatter plots, pair plots, heatmaps and communicating patterns visually.
• Module 6: Statistics & Probability for AI/ML
  Central tendency, dispersion, correlation, distributions and simple probability concepts used in ML.
• Module 7: Exploratory Data Analysis (EDA)
  Understanding data shape, distribution, missing values, outliers, feature relationships and creating EDA summaries.
• Module 8: Introduction to Machine Learning Workflow
  Train-test split, validation idea, bias-variance concept and ML project steps from problem definition to model evaluation.
• Module 9: Supervised Learning – Regression
  Linear Regression (concepts), evaluation metrics like MAE, MSE, RMSE, R² and hands-on regression examples.
• Module 10: Supervised Learning – Classification
  Logistic Regression, Decision Trees, Random Forest (intro), KNN and evaluation using confusion matrix, precision, recall and F1-score.
• Module 11: Unsupervised Learning – Clustering & Segmentation
  K-Means clustering, interpreting clusters and basic examples of segmentation-style use cases.
• Module 12: Data Preprocessing & Feature Engineering (Concepts)
  Missing data handling, categorical encoding (overview), scaling & normalization (conceptual) and building better features for ML models.
• Module 13: Model Evaluation & Improvement
  Overfitting vs underfitting, cross-validation (idea), hyperparameter tuning (GridSearchCV overview) and building more reliable models.
• Module 14: Deep Learning & Neural Network Concepts (Intro)
  What is a neural network, layers, activation (concept-level), how Deep Learning fits into the AI/ML ecosystem and where it is used (CV, NLP, etc.).
• Module 15: Introduction to NLP & Computer Vision (Conceptual)
  Text as data, overview of tokenization and embeddings (high-level), images as arrays, basic computer vision idea and common AI use cases for NLP/CV.
• Module 16: AI/ML Project Lifecycle
  Problem understanding, data collection, EDA, model selection, evaluation, basic deployment ideas (conceptual) and presenting insights to non-technical stakeholders.
• Module 17: Git, GitHub & AI/ML Portfolio Building
  Version control basics, pushing notebooks and scripts to GitHub and organizing an AI/ML portfolio for recruiters.
• Module 18: Final AI/ML Project
  End-to-end AI/ML case study – such as churn prediction, demand forecasting or risk scoring – with EDA, ML model building, evaluation and result presentation.

Each module of the AI/ML Training in Bangalore is supported by guided practice, assignments and trainer feedback so that you can convert concepts into practical skills.

Who Can Join AI/ML Training in Bangalore?

The AI/ML Course in Bangalore at Infocampus is suitable for a wide variety of learners. You do not need to be an expert in mathematics to start; we focus on applied understanding with step-by-step explanation. This AI/ML training is ideal for:

• Fresh graduates (BE, B.Tech, BCA, BSc, MCA, MSc, BCom, MBA) aiming to start a career in AI, ML or Data Science.
• Working professionals in IT, test automation, support, operations or reporting who want to switch into AI/ML roles.
• Developers familiar with Java, .NET, Python, JavaScript or other languages who want to add AI/ML to their skill set.
• Data Analysts and BI professionals who want to move from descriptive analytics to predictive AI/ML solutions.
• Freelancers and tech enthusiasts who want to build proof-of-concept AI/ML projects for clients or portfolios.
• Anyone planning a long-term career in Artificial Intelligence, Machine Learning or Data Science.

If you are unsure whether this AI/ML Training in Bangalore fits your background, you can talk to our counsellors for a quick profile review and personalized learning roadmap.

Classroom & Online AI/ML Training Options

Infocampus offers AI/ML Training in Bangalore through flexible learning modes designed for different types of learners:

• Classroom AI/ML Training in Bangalore
  Instructor-led classes at the institute with whiteboard teaching, live coding, lab practice and peer learning. Suitable for students and job seekers who prefer in-person guidance.
• AI/ML Online Training in Bangalore
  Live online classes with screen sharing, code walkthroughs, doubt clearing and session recordings for revision. Ideal for working professionals and outstation learners who want quality AI/ML training from home.
• Fast-Track & One-to-One AI/ML Course
  Customized schedules, topic prioritization and focused mentoring for experienced professionals who want accelerated AI/ML learning.

In all modes, the AI/ML Course syllabus, case studies, mini-projects and placement guidance remain consistent to ensure uniform learning outcomes.

We provide industry-relevant AI/ML Training in Bangalore with placement support for learners from Marathahalli, BTM Layout, HSR Layout, Silk Board, Electronic City, Whitefield, Hebbal, Indiranagar, JP Nagar, Jayanagar, Rajajinagar, Yelahanka and nearby locations. Our AI/ML Online Training in Bangalore is suitable for job seekers and working professionals who need flexible timings and live interactive classes. We conduct live AI/ML Online Classes so that learners can practise in real-time, share screens, fix errors with mentor guidance and gradually build a strong AI/ML project portfolio.

Tools & Technologies Covered in AI/ML Course

During the AI/ML Training in Bangalore, you will work with industry-relevant tools and libraries, including:

• Programming: Python
• Data Handling: Numpy, Pandas
• Visualization: Matplotlib, Seaborn
• Machine Learning: Scikit-Learn
• Deep Learning (Intro): TensorFlow, Keras (conceptual & overview)
• Development Environment: Jupyter Notebook, VS Code
• Version Control: Git & GitHub (basics)

These tools help you become comfortable with real-world AI/ML workflows and prepare you for further specialization in Deep Learning, NLP or Computer Vision if you choose to go deeper in the future.

Projects, Portfolio & Placement Assistance

Recruiters hiring for AI/ML Engineer and Data Science roles in Bangalore look for candidates who can handle data, build models and explain AI/ML approaches clearly. That’s why our AI/ML Training in Bangalore includes multiple mini-projects and a capstone project.

During the training, you will work on tasks such as:

• Cleaning and transforming datasets, handling missing values and preparing features for ML models.
• Building regression and classification models for practical problem statements.
• Implementing clustering for segmentation-style case studies.
• Working on simple AI/ML use cases such as churn-like problems, recommendation-style datasets or risk scoring examples.
• Final end-to-end AI/ML project combining EDA, model building, evaluation and insights presentation.

In addition to technical training, we help you with:

• Creating a strong AI/ML-focused resume highlighting your skills, tools and project work.
• Conducting mock interviews focused on Python, ML concepts, scenario-based questions and problem solving.
• Sharing eligible profiles with partner companies, HR networks and AI/ML hiring teams in Bangalore.
• Guiding you on applying for AI/ML, Data Scientist and Data Analyst roles in Bangalore and other tech hubs.

With consistent practice, proper guidance and the support you get in our AI/ML Training in Bangalore with placement assistance, you can confidently face technical discussions and AI/ML interviews.

Why Choose Infocampus for AI/ML Training in Bangalore?

Many institutes offer AI/ML Training in Bangalore, but Infocampus focuses on clarity, real practice and interview readiness. Our goal is to help you understand the logic behind AI/ML, not just memorize definitions.

• Trainers with hands-on experience in AI, Machine Learning and Data Science projects.
• Structured AI/ML syllabus that covers programming, statistics, ML algorithms and AI concepts.
• Emphasis on live coding, notebook-based learning and practical assignments.
• Exposure to realistic datasets and AI/ML use cases seen in analytics and product teams.
• Flexible classroom and AI/ML Online Training options with weekday, weekend and fast-track batches.
• Interview preparation support, common AI/ML interview questions and guidance on explaining your projects.
• Continued doubt clearing and limited project support even after course completion while you prepare for jobs.

If you are searching for a AI/ML Training Institute in Bangalore that treats your learning seriously and focuses on practical skills, Infocampus can be a reliable training partner.

Enroll for AI/ML Training in Bangalore

Ready to begin your journey into Artificial Intelligence and Machine Learning? Join Infocampus for a complete, practical and AI/ML Training in Bangalore focused on real-world skills. Learn Python, statistics, ML algorithms and AI concepts step-by-step, build projects and get guidance from our placement team to apply for AI/ML roles in Bangalore and beyond.

Call / WhatsApp: 9738001024 Email: hr.infocampus@gmail.com

Click here to register for the next AI/ML Training batch.