AI and ML Course in Indore – Unlock the Future with Codeez
Get Hands-On Training in Artificial Intelligence & Machine Learning
Ready to step into one of the most exciting fields in tech? Codeez offers one of the most practical and career-focused AI and ML courses in Indore, designed for learners who want to master real-world AI solutions and machine learning models. This AIML course gives you everything you need to build intelligent systems from scratch.
Why Choose an AI & ML Career?
Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries—from healthcare and finance to marketing and automation. Skilled professionals in this domain are in high demand worldwide, and salaries are highly competitive.
Whether you want to become a Data Scientist, AI Engineer, or Machine Learning Developer, this AI ML course is your stepping stone.
What You’ll Learn in This AI & ML Course
- Fundamentals of AI and Machine Learning
- Supervised, Unsupervised, and Reinforcement Learning
- Data preprocessing and model evaluation
- Building predictive models using algorithms like Linear Regression, Decision Trees, SVM, and KNN
- Deep Learning and Neural Networks
- Basics of Natural Language Processing (NLP)
- Real-world projects using Python and ML libraries
This hands-on AI and ML course is ideal for those who want to apply theory into practice through live case studies and mini-projects.
Tools & Technologies Covered
- Python (as primary programming language)
- Scikit-learn, Pandas, NumPy
- TensorFlow, Keras (for Deep Learning)
- Matplotlib, Seaborn (for Data Visualization)
- Google Colab / Jupyter Notebooks
Who Should Join This Course?
- Final-year students or graduates looking for AI/ML career paths
- IT professionals upskilling in AI & ML
- Data science enthusiasts
- Anyone interested in AI ML courses with practical exposure
Career Opportunities After This AIML Course
After completing this course, you can apply for roles such as:
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- NLP Engineer
- Data Analyst with ML skills
Why Codeez for AI and ML Courses in Indore?
- Industry-expert trainers with AI/ML project experience
- Practical approach with real datasets
- Weekly assessments and personalized feedback
- Small batches for individual attention
- Job assistance and mock interview preparation
At Codeez, we don’t just teach buzzwords – we teach you how to build intelligent solutions using AI and ML.
Curriculum
- 14 Sections
- 95 Lessons
- 10 Weeks
- Python fundamentals10
- 1.1Software Installation and introduction of the interface
- 1.2Python understanding and used cases in Data science
- 1.3Python syntax and first code and some Basics
- 1.4Variables and Literals
- 1.5Python operators
- 1.6Python Datatypes in detail
- 1.7Control flow statements
- 1.8User defined function
- 1.9Lambda, Range, Map, Enumeration Zip
- 1.10Patterns understanding
- Numpy11
- 2.1Introduction to Numpy and Why to learn Numpy
- 2.2Installing and Importing
- 2.3Numpy arrays introduction
- 2.4Ways of creating Numpy arrays
- 2.5Numpy arrays attribute
- 2.6Slicing and Indexing
- 2.7Reshaping array
- 2.8Changing array dimension
- 2.9Sta s cal and mathematical function
- 2.10Random Number Generation
- 2.11Handling Missing values
- Pandas19
- 3.1Introduction to pandas and what it is used for ?
- 3.2Installation and importing
- 3.3Series vs dataframe
- 3.4Crea ng dataframe and series using List, dictionaries and numpy arrays
- 3.5Setting index
- 3.6Atributes head(), tail(), sample()
- 3.7Statistical description
- 3.8Loc and iLoc
- 3.9Renaming the column name
- 3.10Adding new column
- 3.11Dropping columns and rows
- 3.12conditional filtering using “&” and “|”
- 3.13apply function on single column
- 3.14apply function multiple column using lambda function
- 3.15sortting method
- 3.16Aggregate functions
- 3.17Value counts, unique, nunique, replace, map function
- 3.18Treatment of duplicate values
- 3.19Nlargest, nsmallest
- Matplotlib (Data Visualisation)10
- Seaborn (Data Visualisation)13
- Plotly (Data Visualisation)1
- EDA10
- Maths for ML3
- Supervised machine Learning4
- Unsupervised Machine Learning4
- Deep Learning6
- NLP0
- Transformer and Hugging Face0
- Git and Github4