Machine Learning Course in Bangalore

    Learn Machine Learning to build predictive models and smart AI systems

    Build projects like sales forecasts, recommendation engines, and models

    Receive guidance on model building, data analysis, and career growth

Avg Salary Hike

50%

Placement Assistance

100%

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Key Highlights of Machine Learning Course in Bangalore

  • Offline Learning: Structured classroom sessions led by industry experts provide a collaborative environment for hands-on learning.
  • Duration: 4-6 months of comprehensive training designed to fit professional schedules.
  • Hands-On Training with 15+ Live Projects: Work on real-world projects to apply concepts in practical scenarios and build a strong portfolio.
  • Free Access to 12+ Programming Tools: Use essential industry-standard tools for data science, machine learning, and AI without additional cost.
  • 3 Years Access to Career Portal: Continue to access internships, job opportunities, and recruitment drives even after course completion.
  • 2 Months Guided Industry Projects: Work on mentor-led projects to gain real-world experience and apply classroom knowledge.
  • 100% Placement Assistance: Full support in securing roles with top companies in AI, data science, and machine learning.
  • One-on-One Mentorship from Industry Experts: Receive personalized guidance and support to strengthen learning outcomes.
  • 360° Career Support: Comprehensive assistance including aptitude training, soft skills, LinkedIn profile optimization, GD/interview prep, and more.
  • Access to a Strong Alumni and Professional Network: Connect with a vibrant community for knowledge sharing and career growth.

upGrad Offline Learning Support Centre in Bangalore

The upGrad Learning Support Centre at HSR Layout, Bengaluru offers in-person and online learning for high-demand fields such as data analytics, business intelligence, and artificial intelligence. Its Pay After Placement option lets learners gain industry-ready skills through data analytics training in Bangalore without upfront costs.

Course Fees

The course fee ranges between INR 99,999-INR 1,49,999 with flexible payment options including the ability to pay partially after placement.

Visit or Contact Us in Bangalore:

For questions about admissions, eligibility, or selecting the right machine learning course, our team at the upGrad Learning Support Centre is ready to assist you. We guide learners in choosing programs that align with their career goals in machine learning, artificial intelligence and data science.

  • Location: L77, 15th Cross Rd, Sector 6, HSR Layout, Bengaluru, Karnataka 560102
  • Contact: 1800 210 7070
  • Timings: 10 am to 8 pm

Machine Learning Course Syllabus

Machine learning institutes in Bangalore offer a structured learning path to master both the fundamentals and advanced concepts of machine learning. The curriculum is designed to cover the full scope of machine learning training, including practical applications, tools, and real-world projects, ensuring learners are prepared for industry demands.

Here are key curriculum highlights:

Foundations for Data Science

  • Mathematics for DS/ML
  • Developing logic in programming
  • CRISP-DM framework
  • Business problem solving using Excel

Data Management and Analysis

  • Basics of SQL and advanced queries
  • Data modeling
  • Python programming
  • NumPy and Pandas
  • Data structures, OOPs, and exploratory data analysis

Data Visualization

  • Data storytelling with Tableau
  • Visualization in PowerBI
  • Dashboard creation

Core Machine Learning

  • Inferential statistics and hypothesis testing
  • Linear regression I & II
  • Logistic regression
  • Projects implementing these techniques

Advanced Machine Learning and Generative AI

  • Decision trees
  • Clustering
  • Ensemble models
  • Natural language processing (NLP)
  • Neural networks and generative AI
  • Capstone project

This machine learning training in Bangalore ensures a balance between theory and practical application, making learners job-ready for roles such as machine learning engineers, data scientists, and AI specialists.

Key skills acquired in machine learning institutes

  • Data Handling and Analysis: Proficiency in gathering, cleaning, and preprocessing large datasets for machine learning applications.
  • Algorithm Design: Ability to design, implement, and optimize supervised, unsupervised, and reinforcement learning algorithms.
  • Model Evaluation: Expertise in testing, validating, and refining models to ensure accuracy and reliability.
  • Tool Mastery: Hands-on experience with tools like Scikit-learn, TensorFlow, PyTorch, and cloud-based ML platforms.
  • Automation and Optimization: Building scalable machine learning pipelines for production environments.
  • Domain-specific Applications: Applying machine learning in fields such as finance, healthcare, e-commerce, and computer vision.
  • Problem-solving with AI: Translating business problems into machine learning solutions.

Reasons to Opt for upGrad’s Machine Learning Training in Bangalore

upGrad’s machine learning program in Bangalore combines practical learning, industry-aligned curriculum, and career support to prepare professionals for advanced roles in AI and data science.

Industry-Ready Curriculum

  • Courses are crafted by industry professionals to match current hiring trends and in-demand skills in Data Science, AI, and ML

Guided Industry Projects with Mentorship

  • Work on real-world projects under the guidance of experienced mentors to apply concepts effectively

5Ps of Learning Methodology

  • Learn through Pre-class preparation, Perceive concepts, Practice exercises, Problem-solving sessions, and Project work

Hands-on Training with Live Projects

  • Gain practical experience by building real-world applications, reinforcing theoretical knowledge through applied learning

Masterclasses by Industry Professionals

  • Exclusive sessions led by experts covering industry best practices and emerging technologies

3 Years Access to Learning Portal

  • Extended access to the learning platform, practice tools, and course materials for three years to support continuous learning

3 Years Access to Career Portal

  • Ongoing access to internships, job opportunities, and recruitment drives even after course completion

360° Career Support

  • Comprehensive career guidance, including aptitude training, resume building, LinkedIn profile evaluation, mock interviews, interview question banks, soft skills, and group discussion preparation

100% Placement Assistance

  • Full support for job placement with flexible options, including the option to pay 30% of the fee after securing a job

Benefits of Joining Machine Learning Training

Joining a machine learning coaching in Bangalore offers significant advantages for both beginners and professionals seeking to enhance their expertise. These programs are designed to align with industry demands, ensuring learners gain skills that are highly valued in the AI and data science landscape.

Key benefits include:

  • Hands-on learning with real-world projects: Apply machine learning concepts through practical exercises and case studies.
  • Access to expert instructors: Learn from experienced professionals and data science mentors.
  • Industry-relevant curriculum: Training designed to meet the needs of Bangalore’s technology and AI ecosystem.
  • Flexible learning options: Online and part-time schedules to balance learning with work commitments.
  • Career support: Guidance on resume building, interview preparation, and job placement assistance.
  • Networking opportunities: Connect with peers, mentors, and industry leaders in Bangalore’s tech community.
  • Strong career prospects: Prepare for high-demand roles such as machine learning engineer, data scientist, and AI specialist.

These advantages make machine learning training in Bangalore an effective pathway for building a successful career in AI, data science, and advanced analytics.

Ideal Learners for This Course

A machine learning course in Bangalore is ideal for anyone looking to advance in the AI and data science field. It is especially beneficial for those who want to combine technical skills with practical application for real-world problems.

Top suitable candidates include:

  • Recent graduates from engineering, computer science, mathematics, or statistics who want to build a career in AI and machine learning.
  • Professionals in IT and analytics seeking to shift into data science or machine learning roles by gaining industry-relevant expertise.
  • Career switchers from other domains who want structured training to break into the machine learning field.
  • Self-learners and tech enthusiasts who want guided, project-based learning to strengthen their practical knowledge.
  • Business leaders aiming to apply AI and machine learning for innovation and automation within their organizations.

This program is crafted to support diverse learners, ensuring that whether you are starting out, upgrading skills, or pivoting your career, you gain the right knowledge and experience to succeed in Bangalore’s thriving technology sector.

Steps to Enroll

Enrolling in a machine learning course in Bangalore with upGrad is quick, easy, and designed to suit learners from all backgrounds. Whether you are a working professional, student, or career switcher, our flexible online and offline learning formats help you begin your ML journey without any hassle.

Below are the steps to enroll:

Step 1. Visit the upGrad Course Page:
Browse through our machine learning programs in Bangalore and select the one that best matches your career goals.

Step 2. Check Eligibility:
Most ML courses require a bachelor’s degree with at least 50% marks, preferably in engineering, mathematics, computer science, or related fields.

Step 3. Register Online:
Fill in the registration form with your basic details to reserve your seat.

Step 4. Confirm Enrollment:
Complete the payment process through our secure online portal and receive confirmation of your enrollment.

Step 5. Start Learning:
Get access to learning materials, hands-on projects, and live sessions, and begin your journey to becoming a skilled machine learning professional.

Top Career Options After ML Course

With Bangalore emerging as a leading technology hub, machine learning classes in the city equip professionals for rewarding roles in AI, data science, and analytics, offering both competitive pay and exposure to innovative projects across multiple sectors.
Here are some top career opportunities after getting trained at a machine learning institute:

Career Opportunity

Average Annual Salary in Bangalore

Machine Learning Engineer

INR 12.2 L

Data Scientist

INR 15.7 L

AI Engineer

INR 18.6 L

NLP Engineer

INR 9.8 L

Business Intelligence Analyst

INR 9.6 L

Source: Ambition Box

Sectors hiring machine learning professionals in Bangalore

  • IT and Software Development
  • Artificial Intelligence and Machine Learning
  • Data Analytics and Business Intelligence
  • Healthcare and Biotechnology
  • E-commerce and Retail
  • Finance and Banking
  • Robotics and Automation

Top Recruiting Companies in Bangalore
Google, IBM, Microsoft, Accenture, TCS, Infosys, Wipro, Cognizant, Capgemini, Bosch, Flipkart, Siemens

Frequently Asked Questions

1How does a machine learning course in Bangalore differ from similar courses in other cities? 

A machine learning course in Bangalore offers a unique advantage due to the city’s position as India’s technology hub. The programs integrate hands-on training, access to local AI projects, and exposure to Bangalore’s thriving IT ecosystem. This makes Bangalore’s machine learning training highly industry-oriented compared to similar courses in other cities.

2What types of machine learning projects are included in the curriculum? 

Machine learning classes in Bangalore include projects such as predictive analytics models, recommendation systems, natural language processing (NLP) applications, and computer vision projects. These projects allow learners to apply theoretical knowledge in real-world scenarios, ensuring practical experience that enhances employability in AI and data science roles.

3Are there specialization options within a machine learning training program in Bangalore?

Many machine learning institutes offer specialization tracks such as deep learning, NLP, computer vision, or reinforcement learning. These specializations help learners focus on their area of interest and build advanced skills, making them more competitive in specific AI and data science career paths.

4How up-to-date is the course content with the latest AI technologies? 

These programs continuously update their curriculum to align with the latest industry trends, frameworks, and tools. This includes updates in Python libraries, TensorFlow, PyTorch, and advancements in deep learning, NLP, and AI automation to ensure graduates are industry-ready.

5Can I access recorded sessions for self-paced learning in Bangalore? 

Many top machine learning courses in Bangalore provide recorded lectures and course materials. This feature allows learners to revisit complex topics, work at their own pace, and balance learning with professional commitments, making machine learning training flexible and accessible for working professionals.

6What is the ideal background for enrolling in a machine learning course in Bangalore? 

While there are courses tailored for beginners, having a background in computer science, mathematics, statistics, or engineering helps. Strong analytical and programming skills enhance learning outcomes, but many Bangalore programs also offer preparatory resources for learners from diverse academic backgrounds.

7How much prior coding knowledge is required for a machine learning course? 

Basic programming knowledge, especially in Python, is recommended for machine learning training in Bangalore. However, many programs provide introductory coding modules so even beginners can build a solid foundation before advancing into complex machine learning algorithms and model development.

8Are there preparatory resources provided before the course starts? 

Yes, reputable machine learning training programs in Bangalore offer preparatory modules, including Python tutorials, math refreshers, and foundational data science concepts. These resources ensure learners start the course with a strong base for advanced topics in AI and machine learning.

9Can working professionals balance a machine learning course with their jobs? 

Machine learning courses in Bangalore are designed for working professionals, offering flexible schedules, part-time learning, and self-paced modules. This structure enables learners to gain industry-relevant skills without disrupting their professional commitments.

10How can I evaluate if I am ready for an advanced machine learning program? 

Assess your readiness by reviewing your programming skills, mathematical foundations, and familiarity with data analysis. Many Bangalore programs offer self-assessment tests and introductory workshops so learners can evaluate their preparedness before enrolling in advanced machine learning training.

11How quickly can I expect to see career growth after completing a machine learning course in Bangalore? 

Career growth timelines vary depending on individual effort and prior experience. Graduates of machine learning training programs in Bangalore often report improved job opportunities within 6–12 months, thanks to industry-relevant skills, real-world projects, and strong demand for AI professionals

12Which entry-level positions are most accessible after completing a machine learning program?

Graduates can explore roles such as Machine Learning Engineer, Data Analyst, AI Specialist, and Business Intelligence Analyst. These positions allow entry into AI, data science, and analytics, providing a strong foundation for long-term career growth in technology-driven industries.

13What skills learned in Bangalore’s machine learning training have the highest industry demand? 

Key skills in demand include Python programming, supervised and unsupervised learning, NLP, computer vision, model deployment, and AI pipeline optimization. Bangalore’s training programs ensure learners develop these high-value skills to meet the growing needs of the AI job market.

14How do employers value machine learning certification from Bangalore programs? 

Employers in Bangalore and across India value recognized machine learning certifications as proof of expertise in AI and data science. Certifications backed by industry-relevant projects and expert mentorship demonstrate both practical skills and readiness for real-world AI challenges.

15Are there opportunities to work on AI research after training? 

Yes, many machine learning programs in Bangalore offer research-oriented projects, often in collaboration with universities or industry partners. These opportunities prepare learners for roles in AI research, innovation labs, and academic projects, alongside traditional industry positions.

16How do Bangalore-based machine learning programs support professional networking? 

Machine learning training programs in Bangalore provide opportunities for networking through industry webinars, mentorship sessions, group projects, and alumni networks. This connects learners to professionals, recruiters, and experts, enhancing career opportunities in AI and data science.

17What kind of mentorship is provided during the training? 

Learners benefit from guidance by experienced AI professionals, industry experts, and data scientists. Mentorship covers project support, technical doubt resolution, career guidance, and industry insights, ensuring strong support throughout the machine learning training journey.

18How does a machine learning course in Bangalore prepare students for industry challenges? 

By combining theoretical learning with hands-on projects, machine learning training in Bangalore equips learners to tackle real-world problems. Training covers practical applications, algorithm optimization, model deployment, and industry case studies to ensure graduates are job-ready.

19Are there opportunities for internships or collaborations after training? 

Yes, many Bangalore programs partner with leading tech firms to offer internships, live projects, and collaborative opportunities. This exposure enhances practical learning, strengthens resumes, and increases employability in competitive AI and data science markets.

20What post-course resources are available for continuous learning? 

Top machine learning training programs in Bangalore provide ongoing access to learning resources, webinars, updated course content, and alumni networks. These resources help graduates stay updated with AI trends and continue developing skills in machine learning and data science.

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Disclaimer

  1. The above statistics depend on various factors and individual results may vary. Past performance is no guarantee of future results.

  2. The student assumes full responsibility for all expenses associated with visas, travel, & related costs. upGrad does not .