AI/ML – DataScience
Testimonials
Good training in Machine learning and IoT. They helped us in creating different projects like a smart car, stock predictions, etc.
Karthik Nair
It was a great opportunity for me to participate in an internship conducted in DLithe . I have learned many concepts and methods which I can use to improve my skills.
Swetha
It was a good experience and learned many things from the session. The trainer was very humble and helped in clearing all the doubts which we had.
Jenisha Coehlo
The process is pragmatic and their team collaborates well to make sure requirements are understood.
Geethanjali BM
Overall a great experience. The trainer was good and was able to clarify our doubts. Special thanks to Arun sir and Sridhar sir for their constant support and guidance.
Rajeshwari Priyadarshini
dlithe is a very good place to learn. They provide very good internship programs.
Kaveesh Shetty
Explained the topics well and the hands-on workshop conducted on the 8051 microcontrollers helped us code on our own.
Dhanayashree Dinesh
It’s a very good Company to learn and implement our skills.
Aishwarya K
They provide the best training on Machine Learning and IoT. They got really good trainers.
Manoj Mangaladevi
“Learnt about how to use web archetypes, downloading dependencies, got to know dependencies are gathered in pom.xml file. And I learnt about Jasper tool, Postman API.”
Kavyashree
“I have learnt many interesting things about this subject(ML) and it has made me even more curious to learn this subject in detail. This internship has helped me alot in improving myself.”
Hafsa Batula,Navodya Institute
“Got a clear understanding about basic steps involved in machine learning ,some machine learning algorithms and also how chatbots are deployed.”
Samit D Manvar, NMAMIT NITTE
“I had a very good experience. Topics were good and helpful to improve my knowledge.”
Malvina Dsouza, NMAMIT NITTE
“It was indeed a beautiful experience. Learnt how to simulate in Tinker Cad platform. Did so many projects which has enhanced my knowledge in field of Internet of Things.”
Drushti Shetty, NMAMIT NITTE
“I started my coding skills with this internship, the sessions, experiments, and projects were of application level unlike the regular classes. The final project of home automation was just not a simple project rather we used it in various real life applications.”
Darshan A B, NMAMIT NITTE
“Internship helped to explore IOT, to solve real world problems using IOT. To interface sensors and actuators. Learning to use Tinkercad and Fritzzing simulation tools was really helpful. In total, it was a great experience with Dlithe.”
Abhijnan Prakash, NMAMIT NITTE
One Month Internship on Artificial Intelligence and Machine Learning
Starts
26 December 2023
Course Details
- Fundamentals of Python language – basic syntax, Data structures, operators, conditional statements, loops, function, class.
- Woking with libraries, python libraries, installation and usage for writing the AI ML Mode ex – Tensorflow , Keras, Matplot, Pandas etc.
- AI ML – Data Science, Machine learning and NLP based concepts exploring
- AI ML models – Classification and regression models
- Model architecture, parameters, implementation flow and working.
- Feed Forward Network, Convolutional Neural Network, Recurrent Neural Network …. Etc.
- Method of implementation for own AI and ML model
- Annotation methods and Tools, Data cleaning and Augmentation methods with python coding.
- Training and Testing the ML model in the Google colab, TensorFlow and GPU system for various ML models.
- Hands on with basic python programming
- Projects on function, class and data processing in python
- Python Libraries based projects – Numpy, Pandas, Opencv, Matplot, Tenrflow, and Keras.
- Regression based projects like – Linear regression, Binary tree implementation on real time use cases example price prediction for crops, homes etc.
- ML project implementation in TensorFlow, Anaconda, Spyder and Google Colab for MNIST handwritten datsets, fashion MNIST datasets and Kaggle datasets and own dataset.
- Hands-on
- Industry based use cases
- 15 days Concepts oriented sessions followed by next 15 days self work
- Online Mode- Monday to Friday (1 Hr)
- Offline at Bangalore
- Complete Python programming Knowledge
- Industry Oriented expose for implementing the ML Models
- Hands on with real time use cases
Knowledge of all Machine learning Models and its implementation methods as per industry perspective.
- Basic level of programming understanding L0
- Knowledge of system handling for the python installation, VS code or any other python interpreter. (Anaconda, Spyder, Jyupter Notebook)
Semester I
Course code | Title of the Course |
19MSPSY1OD01 | Cognitive Processes |
19MSPSY1OD02 | Biological Processes I |
19MSPSY1OD03 | Psychometry And Research Methods |
19MSPSY1OD04 | Theories Of Personality |
19MSPSY1OD05 | Health Psychology |
Learning Labs: | |
19MSPSY1OD06L | Experiments On Perception And Psychophysics |
19MSPSY1OD07L | Experiments In Thinking |
Semester II
Course code | Title of the Course |
19MSPSY2OD01 | Positive Psychology |
19MSPSY2OD02 | Social And Group Processes |
19MSPSY2OD03 | Biological Processes – II |
19MSPSY2OD04 | Experimental Designs And Psychological Statistics |
19MSPSY2OD05 | Theories Of Learning |
19MSPSY2OD06 | Introduction To Sports Psychology |
Learning Labs: | |
19MSPSY2OD05L | Experiments In Cognition -Memory And Learning |
19MSPSY2OD01L | Experiments In Positive Psychology |
Semester III
Course code | Title of the Course |
19MSPSY3COD01 | Child Psychology |
Open Elective (Compulsory) | |
19MSPSY3OOD02 | Life Span Development |
Group – 1 Elective | |
19MSPSY3EOD03 | Corporate Training & Development |
19MSPSY3DOD61 | Organizational behaviour |
19MSPSY3DOD62 | Psychology of Human Resources |
19MAEC3OD04 | Industrial economics |
Group – 2 Elective | |
19MSPSY3EOD04 | Community mental health |
19MSPSY3DOD71 | Psychopathology – I |
19MSPSY3DOD72 | Psychological assessment – I |
19MAEC3OD04 | Industrial economics |
Group – 3 Elective | |
19MSPSY3EOD05 | Family & Marital counselling |
19MSPSY3DOD81 | Introduction to Counselling |
19MSPSY3DOD82 | Behaviour Dysfunction |
Labs | |
19MSPSY3DOD61L | Assessment of Intelligence and Aptitude (Industrial Psychology) |
19MSPSY3DOD71L | Assessment of Cognition and Intervention in clinical context (Clinical Psychology) |
19MSPSY3DOD81L | Counselling Skills Training (Counselling Psychology) |
19MSPP01 | Field Work |
Semester IV
Course code | Title of the Course |
19MSPSY4OD11 | Corporate Psychology |
Open Elective (Compulsory) | |
19MSPSY4OD12 | Consumer Psychology |
19MSPSY4OD13 | Marketing and Advertising Psychology |
Clinical Psychology | |
19MSPSY4OD21 | Psychopathology II |
19MSPSY4OD22 | Psychological Assessment II |
19MSPSY4OD23 | Psychological Interventions |
Counselling Psychology | |
19MSPSY4OD31 | Areas of Counselling |
19MSPSY4OD32 | Introduction to Classical Psychotherapies |
19MSPSY4OD33 | Introduction to Contemporary Psychotherapies |
Skill Enhancement Course | |
19MSPSY4SOND04 | Holistic and Indigenous Healing Techniques |
Labs | |
19MSPSY4OD11L | Screening and Assessment in Industry and Organizational Psychology (Industrial Psychology) |
19MSPSY4OD31L | Assessment of Personality and Intervention in Clinical Psychology (Clinical Psychology) |
19MSPSY4IOD05 | Internship & Reports |
19MSPP02 | Project Work |