90%+Placement Assistance Rate
AI and Machine Learning Training in Marathahalli, Bangalore
Develop Practical AI & Machine Learning Skills for Real-World Applications
Learn to develop and apply AI and Machine Learning solutions using Python, Supervised and Unsupervised Learning, Deep Learning, NLP, Computer Vision, and Generative AI. Build practical experience through hands-on projects, real-time coding, model-building exercises, and industry-relevant case studies designed to connect concepts with real-world AI applications.
Real time industry trainers- Certificate on completion
- Classroom + online available
- Flexible batch timings
15+Courses Across 6 Domains
15+Years Training IT Professionals
5,000+Students Trained
Industry Recognition
Where AI and Machine Learning Skills Take You
AI and Machine Learning aren't tied to one industry or one type of company. Healthcare, finance, defense, manufacturing, retail, transportation, insurance, and agriculture are all investing in intelligent systems, which means the skills you build here transfer across sectors, not just one job market. This course is structured around the complete AI workflow, from Python and data preprocessing through deep learning, NLP, and computer vision, so what you learn maps to what AI/ML engineers actually build on real projects.
Runs across every industry
Healthcare, finance, defense, manufacturing, retail, and insurance are all hiring for AI and ML roles, so your skills aren't locked to one sector.
Covers the complete modern AI stack
Curriculum spans supervised and unsupervised learning, deep learning, NLP, computer vision, and real-time AI applications, using TensorFlow, Keras, PyTorch, and Scikit-learn, reflecting the full breadth of tools employers expect from AI-ready candidates today.
Enterprise recognized skillset
Used by global enterprises and Indian conglomerates alike, making the skill portable across company size and geography.
Salary data, sourced
Fresher entry around ₹5 to 8 LPA, moving to ₹10 to 18 LPA within 1 to 2 years and ₹19 to 32 LPA with 2 to 4 years of experience.
Tools & TechnologiesWhat you'll work with
Every technology in the course is selected to help you build practical AI and Machine Learning skills aligned with real-world industry requirements.
Course Curriculum
Module by Module AI and Machine Learning Syllabus
This AI and Machine Learning course in Bangalore covers everything from Python and data preprocessing to deep learning, NLP, computer vision, and Generative AI, structured across 12 modules with hands-on project work throughout.
Python Programming for AI
- Python fundamentals: variables, data types, and control structures
- Functions, OOPs, and working with libraries
- Setting up your AI/ML development environment (Jupyter, Anaconda)
Data Preprocessing
- Handling missing values, outliers, and duplicates
- Feature scaling, encoding, and normalization
- Exploratory Data Analysis (EDA) with NumPy and Pandas
Introduction to Machine Learning
- What is Machine Learning, and the AI/ML/DL relationship
- Types of ML: supervised, unsupervised, and reinforcement learning
- The ML workflow: train-test split, model fitting, and evaluation
Supervised Learning
- Regression: Linear and Logistic Regression
- Classification: Decision Tree, Random Forest, KNN, SVM
- Model evaluation metrics: accuracy, precision, recall, and F1-score
Unsupervised Learning
- Clustering algorithms: K-Means and Hierarchical Clustering
- Dimensionality reduction (PCA overview)
- Anomaly detection basics
Introduction to Deep Learning
- Neural networks: perceptrons, activation functions, and backpropagation
- Introduction to TensorFlow and Keras
- Building and training your first neural network (ANN)
Advanced Deep Learning Architectures
- Convolutional Neural Networks (CNN) for image data
- Recurrent Neural Networks (RNN) and LSTM for sequential data
- Overview of Autoencoders
Natural Language Processing (NLP)
- Text preprocessing: tokenization, stemming, and lemmatization
- Sentiment analysis and text classification
- Introduction to NLTK and spaCy libraries
Computer Vision
- Image processing fundamentals with OpenCV
- Image classification and object detection basics
- Building an image recognition mini-project
Reinforcement Learning and AI Ethics
- Introduction to reinforcement learning concepts
- Real-world applications and limitations
- Ethics of AI: bias, fairness, and responsible AI deployment
Generative AI and Large Language Models
- Introduction to Generative AI, GANs, and Transformers
- Understanding LLMs and tools like ChatGPT in practice
- Building a simple chatbot application
AI Deployment and Real-Time Capstone Project
- Overview of cloud-based AI deployment (AWS/Google Cloud)
- Deploying a trained model for real-world use
- Capstone project: choosing from image recognition, sentiment analysis, chatbot development, or fraud detection
Is This for You?
Who Should Join This AI and Machine Learning Course
Fresh graduatesGraduates looking to build a strong foundation in AI and ML as a starting career path.
Working professionalsProfessionals aiming to upskill and transition into high-demand AI roles.
IT and data professionalsProfessionals seeking specialization in AI, ML, or Deep Learning.
Software developersDevelopers looking to add intelligent, data-driven features to their applications.
Anyone passionate about intelligent systemsLearners interested in building data-driven solutions, regardless of educational background.
Freelancers and independent consultantsProfessionals looking to upskill for AI/ML freelance or contract opportunities.Flexible Batch Options
Choose a Batch That Fits Your Schedule
This AI and Machine Learning training in Bangalore with placement support is offered across multiple batch formats, all covering the same curriculum with hands on project work.
Ideal for freshers and full time learners.
- 2 to 3 hrs/day · Mon to Fri
- Morning and evening slots
- 10 to 12 weeks total
- Max 20 students
Best suited for working professionals.
- 3 to 4 hrs/session · Sat to Sun
- No clash with office hours
- 12 to 16 weekends total
- Max 20 students
Live Online Available Across IndiaSame trainer, same curriculum, same batch cap (max 20). No pre recorded videos: live model building demos, Q&A, and hands on project work in every session.
Learn From Professionals With Real-World Experience
MNP's AI and Machine Learning trainers bring over 10 years of experience in AI technologies and have worked on multiple real-time AI projects at top MNC companies in Bangalore. Every session is built around real-world case studies and the kind of questions that come up in AI/ML interviews.
AI/ML Lead Consultant10+ years in AI technologies and enterprise machine learning implementation- Deep Learning and NLP SpecialistExpert in TensorFlow, Keras, and NLP applications like sentiment analysis and chatbot development
- Computer Vision and Generative AI ExpertSpecializes in OpenCV based image recognition and emerging Generative AI/LLM applications
Turn Your AI/ML Skills into Career Opportunities
Our AI and Machine Learning training in Bangalore with placement support includes:
- Resume building with AI/ML specific templates
- Mock technical interviews with real AI/ML interview questions
- LinkedIn profile optimization
- Direct referrals to hiring partners actively seeking AI/ML professionals
- Weekly job notifications for AI, Machine Learning, and Data Science roles in Bangalore
- Offer letter and salary negotiation guidance
Student Success Stories
What Our AI and Machine Learning Students Say
These are real students who trained at MNP Technologies and went on to secure AI and Machine Learning Engineer roles across Bangalore.
Anjali Sahu
Alchemy Techsol India
Thanks to the hands-on SAP FICO training and incredible placement support at MNP Technologies. This comprehensive program gave me the exact skills and confidence I needed to successfully land my dream career.
Bharath J
Sumadhura
The SAP MM training at MNP Technologies helped me gain practical knowledge, build confidence and secure a great opportunity. I’m grateful for the trainers and placement support.
Ashlesha Reddy
CSS Corp Pvt Ltd
Enrolling in MNP Technologies for AWS & DevOps was the best decision for my career, thanks to the incredibly supportive trainers who went above and beyond to solve every technical problem.
Durga Bhavani
Sumadhura
MNP’s live training and expert mentors gave me the practical SAP FICO skills needed to stand out. Thanks to their dedicated placement support and mock interviews, I easily secured my breakthrough corporate role!
G Manisha Naidu
BSOL System (P.V.T)
The AWS & DevOps training at MNP Technologies gave me the hands-on experience and confidence I needed to grow in my career. Thank you for the great support.
Mohan Rama Chandrareddy
Sumadhura
The live project training in SAP FICO at MNP Technologies gave me a massive corporate advantage and hands-on confidence. I am incredibly thankful to MNP and their brilliant placement team for helping me.
Nadigatla Sai Praveen
Sumadhura
The live training and case studies at MNP Technologies made complex SAP MM modules incredibly easy to master. Thanks to their consistent mock interviews and dedicated placement support, I built the confidence needed to clear my corporate selection process smoothly!
Syed Junaid Ahammad
Sumadhura
MNP’s live training and hands-on projects gave me a deep, practical understanding of SAP MM. Their dedicated placement support and mock interview sessions were excellent, helping me confidently clear my rounds and secure my job!
Monika
Course: AWS & DevOps
Enrolling in the AWS & DevOps course at MNP Technologies was a game-changer for me. The hands-on training with real-time scenarios gave me the exact technical skills and confidence I needed to transition into the cloud industry.
Philips
Course: AWS & DevOps
Thanks to the hands-on AWS & DevOps training and mentorship I received, I gained the confidence and real-world skills needed to successfully transition into a cloud and DevOps engineering role.
Sweta
Deloitte · AWS & DevOps
The practical exposure I got during my AWS & DevOps training at MNP Technologies was crucial in helping me step confidently into my role at Deloitte. The trainers focus on real-world enterprise scenarios that make all the difference.
Yogireddy
Course: AWS & DevOps
MNP Technologies doesn't just teach AWS & DevOps; they make you career-ready. Grateful to the entire team for the excellent mentorship and continuous support throughout my job hunt!
Musthak
Course: DevOps
Markappa
Course: SAP MM
Frequently Asked Questions
What is the difference between AI, Machine Learning, and Deep Learning?
Ans: AI (Artificial Intelligence) is the broad science of making machines think, learn, and act like humans. Machine Learning is a subset of AI focused on algorithms that learn patterns from data. Deep Learning is a further subset of Machine Learning that uses neural networks with multiple layers, particularly effective for tasks like image recognition and natural language processing.
Is this AI and Machine Learning course suitable for freshers with no prior experience?
Ans: Yes. The course starts with Python programming and data preprocessing fundamentals before moving into machine learning, deep learning, and specialized topics like NLP and computer vision, so fresh graduates can build a strong foundation from scratch.
Do I need a strong math or statistics background to learn AI/ML?
Ans: Basic statistics knowledge helps, but you don't need advanced math expertise before starting. The course introduces relevant statistical and mathematical concepts as they apply to each topic, so learners with general technical programming knowledge can follow along.
What is the difference between this AI and Machine Learning course and your standalone Data Science with Python course?
Ans: Our Data Science with Python course emphasizes the broader data analysis workflow, statistics, SQL, and business intelligence, alongside machine learning. This AI and Machine Learning course goes deeper into deep learning architectures (CNN, RNN), NLP, computer vision, and Generative AI, making it a better fit if your goal is specifically an AI/ML engineering role.
What kind of job roles can I apply for after this course?
Ans: Graduates typically enter the market as AI Engineers, Machine Learning Engineers, Deep Learning Engineers, and NLP/Computer Vision Specialists, working across healthcare, finance, retail, and other data-driven industries.
Will I build real AI applications during this course?
Ans: Yes. Practical mastery requires hands on project work throughout, culminating in a real-time capstone project such as image recognition, sentiment analysis, chatbot development, or fraud detection.
What is the starting salary a fresher can expect after this course?
Ans: An entry level AI/ML Engineer can expect a starting annual package ranging from ₹5 Lakhs to ₹8 Lakhs per annum (LPA), growing quickly with hands on project experience.
What is the duration of the AI and Machine Learning program at MNP Technologies?
Ans: Given the breadth of this curriculum, covering machine learning, deep learning, NLP, and computer vision, the program runs longer than our shorter, single-topic courses. Exact duration depends on batch type and pace, confirmed at the time of enrollment.
Is there AI and Machine Learning training in Marathahalli?
Ans: Yes, MNP Technologies conducts classroom AI and Machine Learning training in Marathahalli, Bangalore, alongside live online AI and Machine Learning training available across India, both capped at a maximum of 20 students.
Take the Next Step Toward Your AI & ML Career
Learn through practical projects, expert guidance, and industry-focused training. Join a weekday, weekend, or live online batch that fits your schedule.
