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AI Analyst Course

Exclusively for college students (Enroll now with your student ID)

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Project-based, live instructor-led course

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A dedicated job application portal

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Profile building and mock interview

A Certified Member of

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Upgrade your skill set & unlock new opportunities!

Upcoming Cohort

22 Feb 2025

Calendar (1)

Next Cohort Starts

22 Feb 2025

online learn (1)

Learning Format

Live-online

Course Highlights

Live online

Live-online classes

Projects

Project-based learning

Expert

Industry experts interaction

Career services

Career services

jobs

Access to placement portal

Resume Building

Profile building

certificate

Certificate upon completion

Expert

Mock interviews

Course Outcomes

ML models

Master Python, data manipulation, and EDA with Pandas, Numpy, Seaborn, and Plotly.

certificate

Implement machine learning algorithms for real-world applications.

Live online

Learn deep learning and NLP concepts like CNNs, RNNs, and word embeddings.

Projects

Work with advanced language models like LLAMA3 and fine-tuning techniques like LORA.

campus

Understand retrieval-augmented generation (RAG) for intelligent systems.

Career services

Deploy AI solutions using agentic workflows and Kubernetes.

Project

Showcase expertise in generative AI with a capstone project.

Expert

Learn from industry experts

AI Analyst Course Syllabus

Syllabus

Revise essential mathematics content is related

Lists, Tuples, sets, Dictionaries
Functions, Lambda Functions,Higher Order Functions

Introduction to EDA
Loading and Cleaning Data with Pandas
Handling Missing Data
Data Summarization (Descriptive Statistics)
Univariate Analysis (Histograms, Box Plots)
Bivariate Analysis (Scatter Plots, Pair Plots)
Correlation Heatmaps
Data Distribution Visualization (KDE, Distplots)
Customizing Visualizations with Seaborn and Matplotlib
Interactive Visualizations with Plotly

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Introduction to Supervised Learning
Regression
Linear Regression
Classification
Logistic Regression
Decision Trees
Random Forests
Support Vector Machines (SVM)
Unsupervised Learning
Clustering

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

CNN and its working principal
RNN and its types
Tokenization
Word embeddings
Introduction to nltk, spacy libraries

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Foundational Language Models
LLAMA3 Instruct 8B / 70B
LLAMA3 Chat
LLAMA3 code
E5 embedding
MIXTRAL 8X7B
Para Efficient Fine-tuning
LORA

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

RAGs
Chunking
Embedding
Search
Ranking
Generation
Evaluation
RAG frameworks
LLANGCHAIN basics
LLAMAINDEX
LLANGRAPH

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Agentic workflows and function calling
LLANGCHAIN advanced
AUTOGEN
Containerised deployment and Kubernetes - LLM
Deployment

This capstone project combines an in-depth exploration of SQL, Statistics, and Power BI to provide a holistic approach to data analysis and business intelligence. Participants will learn to manage, analyze, and visualize data effectively using a suite of tools and technologies to derive actionable insights and solve real-world business problems.

Revise essential mathematics content is related

Lists, Tuples, sets, Dictionaries
Functions, Lambda Functions,Higher Order Functions

Introduction to EDA
Loading and Cleaning Data with Pandas
Handling Missing Data
Data Summarization (Descriptive Statistics)
Univariate Analysis (Histograms, Box Plots)
Bivariate Analysis (Scatter Plots, Pair Plots)
Correlation Heatmaps
Data Distribution Visualization (KDE, Distplots)
Customizing Visualizations with Seaborn and Matplotlib
Interactive Visualizations with Plotly

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Introduction to Supervised Learning
Regression
Linear Regression
Classification
Logistic Regression
Decision Trees
Random Forests
Support Vector Machines (SVM)
Unsupervised Learning
Clustering

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

CNN and its working principal
RNN and its types
Tokenization
Word embeddings
Introduction to nltk, spacy libraries

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Foundational Language Models
LLAMA3 Instruct 8B / 70B
LLAMA3 Chat
LLAMA3 code
E5 embedding
MIXTRAL 8X7B
Para Efficient Fine-tuning
LORA

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

RAGs
Chunking
Embedding
Search
Ranking
Generation
Evaluation
RAG frameworks
LLANGCHAIN basics
LLAMAINDEX
LLANGRAPH

This capstone project is designed to combine practical skills and techniques to analyze and interpret data effectively.

Agentic workflows and function calling
LLANGCHAIN advanced
AUTOGEN
Containerised deployment and Kubernetes - LLM
Deployment

This capstone project combines an in-depth exploration of SQL, Statistics, and Power BI to provide a holistic approach to data analysis and business intelligence. Participants will learn to manage, analyze, and visualize data effectively using a suite of tools and technologies to derive actionable insights and solve real-world business problems.

Tools

SQL_100X60 MySQL_100X40 Python Jupyter 100X40 Pycharm_150X60 Google_Colab_150X60 Pandas_150X60 NumPy_150X60 Scikit_150X60 Docker_150X60 Git 100x40 Kubernetes_150X60 Hugging Face 100X40 LangChain_150X60 LlamaIndex_150X60

Top Companies hiring

Amazon 100 x 40 individual Flipkart 100x40 Goldman Sachs 100X40 grid Meesho 200x80 individual Seer_100X40_indv KSAC Individual 100 x40 Indegene100X40 Microsoft 100X40 prudent100X40 IndiGo_INDIVIDUAL 100 X40 TCS100X40 Individual Mordor_Intelligence100X40 vivifi_100x40_individual Teleperformance Individual 100x40 Sg Analytics 100 x 40 individual Philips100X40 People Tech 100x40 Ctrls_100x40 Align

Real-world projects
to reinforce your learning

Study-Buddy AI-Driven Personalized Learning Assistant
Clock (1)

Study-Buddy: AI-Driven Personalized Learning Assistant

Revolutionize the way students learn by building highly personalized educational content.

Script-Master Automated Script writer for Video Content
Clock (1)

Script-Master: Automated Script writer for Video Content

Build a tool to assist video creators for producing high-quality scripts tailored to their specific needs.

Real-world projects
to reinforce your learning

project_icons

Study-Buddy: AI-Driven Personalized Learning Assistant

Revolutionize the way students learn by building highly personalized educational content.

Industry Best Practices

Procure to Pay

project_icons

Script-Master: Automated Script writer for Video Content

Build a tool to assist video creators for producing high-quality scripts tailored to their specific needs.

Career Services in a nutshell

Career Services in a nutshell

Profile Building 336X182

Profile Building

Optimize your resume and LinkedIn profiles to maximize your chances of landing amazing opportunities.

Behavioral skills 336X182

Behavioral Skills

Get ready to become a great cultural fit at your workplace. Learn workplace skills from experts.

Interview Preparation 336X182

Interview Preparation

Get a grip on those pre-interview nerves. Test and practice your skills with mock interview sessions.

Industry Interaction 336X182

Industry Interaction

Engage in multiple interactions and case study discussions with industry professionals.

Placement Support 336X182

Placement Support

Get exclusive access to OdinSchool’s placement portal and placement support.

Job Drives 336X182

Job drives

Attend exclusive job drives to connect with hiring companies and secure career opportunities.

Rising Demand for analytics and AI skills

Data Analytics Market Growth in India
Data analytics market Growth in India (1)
Top Companies Hiring
Google Individual 100 x40 Lowes_100X40 swiggy 100x40 indv Amazon 100 x 40 individual Flipkart 100x40 accenture Individual 100 x40 Capgemini_100X40 Individual Deloitte__200x80
Demand
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35%

Growth in data science jobs from 2021 to 2031 shows how fast this field is growing. This increase highlights the rising demand for skilled data professionals in many industries.

OdinSchool's AI Analyst Course Certificate

✅

Earn an invaluable credential to add to your portfolio.

✅

Showcase your expertise in Artificial Intelligence and Analytics.

AI Analyst course certificate

Real-world projects
to reinforce your learning

Abidunnisa Begum

Abidunnisa Begum

Lead Faculty

Sangamesh KS

Sangamesh KS

Founder

Dadavalli Shaik Abubai

Dadavalli Shaik Abubai

Senior Data Engineer

Dr. Subarna Roy

Dr. Subarna Roy

Chief Data Scientist

Krishna Kumar

Krishna Kumar

Principal Data Scientist

Dr. Debojyoti Roy

Dr. Debojyoti Roy

Chief Data Scientist

Get started now!

Upcoming Cohort

Possible Career Opportunities

Data Scientist

Data scientists analyze and interpret complex data to help organizations make data-driven decisions. They create predictive models, build algorithms, and use machine learning to extract valuable insights from data.

Machine Learning Engineer

Machine learning engineers design, build, and deploy machine learning models and systems. They are responsible for the technical implementation and scalability of algorithms.

AI Research Scientist

AI researchers focus on developing new algorithms, techniques, and methods to improve AI systems and solve complex problems. They often work in academia or specialized R&D labs.

Data Engineer

Data engineers build and maintain the infrastructure (databases, data pipelines, etc.) necessary for collecting, processing, and storing large datasets that data scientists and analysts work with.

Frequently Asked Questions

  • Undergraduate students (any discipline, preferably in computer science, engineering, or related fields).
  • Basic understanding of mathematics (algebra, statistics) and programming concepts is advantageous, but not mandatory.
  • No prior experience in AI or machine learning required, but interest in learning is essential.
  • Commitment to a 3-month live online program.



Yes, upon successfully completing the AI Analyst Course, you will receive an certification from OdinSchool. 

At the end of this course, you will not only be fully prepared to break into the industry but also equipped to become a valuable industry asset who is productive from day one. 

No, there is no job guarantee.

OdinSchool is proud to offer top-notch live classes, mentorship, projects, and extensive career services. We also provide dedicated placement assistance through our network of 500+ hiring partners. We're fully committed to your success. However, it's important to understand that this Certificate Course in Data Science and Machine Learning does not offer a job guarantee and that your own effort and dedication are essential to achieving success. We encourage you to work hard and take full advantage of the job options we provide, knowing that we'll be there to support you every step of the way.

As per our refund policy, fee amounts once paid are non-refundable.