AI ML
Diploma

The Diploma in Artificial Intelligence & Machine Learning is a career-focused program designed to develop advanced problem-solving and analytical skills using intelligent technologies. The course covers core concepts of machine learning algorithms, data modeling, deep learning architectures, and natural language processing, with hands-on training in Python and industry-standard tools. Learners will work on real-world case studies and projects to gain practical experience in building scalable AI solutions. Upon completion, students will be job-ready for roles in the AI and data domain, backed by 100% job guarantee.

10 Months

2 Hours Class

100%

Job Guarantee

4-5 LPA

Average Salary

Free Demo
Expert Instructors
Fees Instalment
Live Project
Practical Learning
Small Batches Big Learning
100% Job Guarantee

Key
Features

For more details, contact us
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Programming & Data Foundations

  • ✓ Python for Scalable Al Systems
  • ✓ Data Structures & Algorithmic Thinking
  • ✓ Time & Space Complexity (Applied)
  • ✓ Writing Production-Ready Code

Large-Scale Data Handling

  • ✓ ETL / ELT Pipelines
  • ✓ Working with CSV, Excel, JSON, Parquet
  • ✓ Data Warehouses vs Data Lakes
  • ✓ Data Quality & Validation
  • ✓ Big Data Thinking (Conceptual)

Statistics & Feature Engineering

  • ✓ Advanced Statistics for Modeling
  • ✓ Probability & Sampling Techniques
  • ✓ Feature Selection, Scaling & Encoding
  • ✓ Business-Driven Feature Design

Machine Learning Algorithms

  • ✓ Regression & Classification (Deep Dive)
  • ✓ Tree-Based Models & Ensembles
  • ✓ XGBoost & Performance Tuning
  • ✓ Model Comparison & Optimization

Model Evaluation & Explainability

  • ✓ Cross-Validation & Model Selection
  • ✓ Overfitting & Underfitting Control
  • ✓ Feature Importance & Interpretability
  • ✓ Explainin AI Decisions to Stakeholders

AI APIs & Automation

  • ✓ OpenAI / LLM APIs
  • ✓ AI-Powered Applications
  • ✓ Chatbots & Virtual Assistants
  • ✓ Business Automation Workflows
  • ✓ Excel + AI, Website + AI, Database + AI

ML Lifecycle & MLOps Basics

  • ✓ ML Lifecycle
  • ✓ Model Versioning & Experiment Tracking
  • ✓ API & Web Integration
  • ✓ Cloud Basics for AI
  • ✓ Monitoring & Model Drift

Business AI Use Cases

  • ✓ AI in Finance, Education & Marketing
  • ✓ AI for Operations & Startups
  • ✓ Productivity Al for Daily Work
  • ✓ Consultant Mindset

Portfolio & Capstone

  • ✓ End-to-End Capstone Project
  • ✓ Industry-Style Problem Statements
  • ✓ Portfolio & GitHub Building
  • ✓ Freelancing & Consulting Guidance
  • ✓ Advanced Interview & Career Support

Tools
Covered

Excel

Python

Jupyter Labs

Google Collab

GitHub

MySql

ChatGPT

VS Code

Career Opportunities

Build an Advanced Career in AI & ML

  • Data Scientist
  • Big Data Engineer
  • Al Developer
  • NLP Specialist
  • Al Researcher
Modern Infrastructure

Learn with Industry-Standard Tools & Facilities

  • Advanced Technology:
    Equipped with high-performance computers and industry-standard software, providing hands-on experience with the latest tools.
  • Small Batches, Big Learning:
    Personalized attention in small classes enhances learning through hands-on practice and direct instructor interaction.
  • Collaborative Spaces:
    Smart classrooms, innovation labs, and digital resources support, fostering collaboration and creativity.

Success
Stories

Roshan Jajoriya

Working at Webeesocial

Dytus Academy empowered me with practical skills and confidence. The supportive environment, hands-on projects, and expert mentorship helped me turn my passion into a successful, fulfilling career

Rishi Panwar

Working at i2k2 Networks

I am feeling great pleasure to be able to testify for the best institute that got to learn at. Their practical hands-on learning approach was the best I could ask for. The faculty there is excellent and needless to say, experts in their respective fields.

Arvind Kumar

Working at Wipro

The informative and practical approach that they had in explaining every single topic with sync to their real world applicaton and matching the job requirements was the best at par. I am lucky to have been taught by such faculty when I needed a job at the earliest.

Suraj Ridlan

Working at Makemytrip

Dytus Academy's web development course gave me the skills to build dynamic websites from scratch. The real-world projects and personalized mentorship prepared me to confidently step into my first developer role.

Himanshu Lodiwal

Working at TMB

Joining Dytus academy was a turning point in my career. The program equipped me with industry-relevant skills and a strong network, helping me achieve my career goals faster than I imagined.

Sonu Bairwa

Working at NextGen

I have always found need for a strong foundation must in understanding the core concepts which seemed impossible for me to grasp through their practical based course. But having found and completed this course, I finally had confidence that helped me face and crack the interviews which seemed impossible at first.

Lokesh Kumar

Working at Creativeshell

I enrolled in this course on recommendation from a friend when I told her that I had no experience in UI/UX but wanted to learn it just for an extra skill, but the course was so detailed and helped me reach my potential and learn the best of skills for the course.

Rohit Kumar

Working at JustWines

Enrolling here was the best decision! The practical knowledge and industry insights I gained helped me land a job and grow professionally. I’m thankful for this amazing experience

Naveen Solanki

Working at Astroyogi

The hands-on training at Dytus Academy helped me master essential skills. Their real-world approach ensured I was job-ready, and today, I’m proud to be working in my dream field.

Frequently Asked Questions

Do I need a strong math background to leam AI/ML?

A basic understanding of school-level math is enough. The course teaches required concepts like statistics and linear algebra from scratch.

Artificial Intelligence focuses on building systems that mimic human intelligence, while Machine Learning enables systems to learn from data and improve automatically.

Yes. AI and ML are widely used across industries such as healthcare, finance, e-commerce, and automation, making them strong long-term career options.

You will work on projects related to data analysis, machine learning models, deep learning applications, NLP, and computer vision.

Join the leading academy today and unlock your
future
in tech!

Start learning with a free consultation

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Apply Process

We have outlined our 4-step admission process.

  • 01

    Submit an online application

  • 02

    Visit academy or Schedule a consultation

  • 03

    Receive an offer sources

  • 04

    Enroll & Choose a Payment Plan

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