Dandes Academy
AI & Machine Learning Career Program · For Working Professionals

Upskill with AI & Machine Learning While You Work.Unlock Higher-Paying Opportunities.

This isn’t just another AI course. It’s a structured Artificial Intelligence and Machine Learning program designed for working professionals who want to build on their existing experience, develop in-demand AI/ML skills, and transition into high-growth roles with greater career opportunities and higher earning potential.

25,000+ Students Trained since 2005
20+ Years Training Experience
6 Industry-Ready AI/ML Projects
3 Structured Mock Interviews
Career Guidance & Placement Assistance

Get AI & Machine Learning Program Details

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Your Portfolio

By the end of this course, your GitHub
will have these

Not toy datasets from 2017. Not assignment homework. Real, deployable AI systems built on the same stacks that hiring companies actually use.

Project 01

Customer Churn Predictor

Build an end-to-end ML pipeline to identify customers likely to leave. Covers data cleaning, feature engineering, model training, hyperparameter tuning, model evaluation, and REST API deployment.

PythonPandasScikit-learnXGBoostHyperparameter TuningFlask API

Inspired by real-world Use Cases from: Telecom, SaaS, Banking, E-Commerce

Project 02

AI Resume Screening System

Build an intelligent resume screening application that analyzes resumes, matches them with job descriptions, and ranks candidates using NLP and Machine Learning techniques.

PythonNLPBERTTensorFlowFastAPIText ClassificationSemantic Search

Inspired by real-world Use Cases from: HR Tech, Recruitment Platforms, Enterprise Hiring

Project 03

GenAI Chatbot with RAG

Build a production-ready AI chatbot that answers questions from enterprise documents and knowledge bases using Retrieval-Augmented Generation and Large Language Models.

PythonLLMsLangChainChromaDBRAGPrompt EngineeringFastAPI

Inspired by real-world Use Cases from: Customer Support, Internal Knowledge Search, EdTech, SaaS

Project 04

Multi-Agent Business Analyst

Build a team of AI agents that collaborate to analyze business data, generate insights, identify trends, and recommend actions for decision-making.

Agentic AICrewAILangGraphMCPSQLTool Calling

Inspired by real-world Use Cases from: Business Analytics, Operations, Sales, Strategy Teams

Project 05

End-to-End MLOps Pipeline

Automate model training, versioning, deployment, monitoring, and retraining. Learn how production AI systems are managed at scale.

MLflowAirflowAWSDockerCI/CDModel Deployment & Monitoring

Inspired by real-world Use Cases from: AI Platforms, Data Science Teams, ML Engineering Teams

Capstone

Your Domain Capstone Project

Build a complete AI application from problem definition to deployment in your chosen domain such as Healthcare, Finance, E-Commerce, Education, or Manufacturing.

PythonMLDLGenAIAgentic AIMLOpsCloud Deployment

This is the project that helps you connect your past experience with future AI/ML roles.

"These aren't toy projects." Every project is built to demonstrate production thinking, not just that you know the algorithm, but that you know how to ship it, document it, and defend it in a technical interview. That's the difference between a certificate and an offer.

Curriculum

Comprehensive AI & Machine Learning Curriculum
specialist course, 48 weeks

A structured 12-month career program designed to take you fromfundamentals to industry-ready AI skills.

  • SQL, Advanced SQL, Database Design & Data Modeling
  • Python Programming, OOP & Data Structures
  • NumPy, Pandas & Data Manipulation
  • Data Processing, Analysis & Problem Solving
The Returns

The Investment. The Skills. The Outcome.

You've spent years building your career. Before making any investment,it's important to understand exactly what you're getting in return.

12-Month Structured AI & Machine Learning Career Program

6 Industry-Ready AI/ML Projects

Domain-Specific Capstone Project Aligned to Your Experience

3 Structured Mock Interviews with Detailed Feedback

AI/ML Interview Preparation & ML System Design

Resume, LinkedIn & GitHub Portfolio Review

Career Guidance & Transition Roadmap

1:1 Mentor Support Throughout the Program

Exclusive Job & Opportunity Updates

25,000+

STUDENTS TRAINED

20+ YEARS

EXPERIENCE

6

INDUSTRY PROJECTS

3

MOCK INTERVIEWS

Student Outcomes

Experienced Professionals.

Real AI/ML Transitions.

Every professional featured here started from the same place — years of experience in software, engineering, architecture, or management, but little or no practical AI/ML experience.

Production Ready

Projects.Built and deployed during the program.

GitHub Portfolio

Showcase real AI/ML projects recruiters can review.

Interview Ready

Project discussions, technical rounds, and career guidance.

Rajkeshwar Prasad

Rajkeshwar Prasad

Tech Lead

HCL Tech, Germany

"Dande Sir has a unique way of simplifying complex topics. Concepts that initially seemed difficult, especially in Machine Learning and Deep Learning, became much easier to understand through the structured explanations and practical examples. The program helped me connect AI concepts with real-world engineering problems and gave me confidence to explore AI/ML in my career."

The Experience Advantage

Why Your Experience Can Be Your Biggest AI/ML Asset

Many professionals assume they are starting late. In reality, years of experience can become a powerful advantage when combined with practical AI/ML skills.

Domain knowledge that fresh graduates simply dont have
Strong technical and engineering foundations that accelerate learning
Real-world problem-solving experience that AI teams value
Better understanding of products, customers, systems, and business requirements
The ability to apply AI/ML to real business problems, not just build models
Professional maturity, communication skills, and stakeholder management experience
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Students working together on placement preparation
Built For You Specifically

This course is not repurposed fresher content. It was designed for experienced professionals.

Most AI/ML programs start from zero. This one starts with the experience, technical foundations, and industry knowledge you've already spent years building.

  • You already have technical and problem-solving foundations
  • You understand business problems, not just algorithms
  • You bring domain expertise that AI teams value
  • You want a structured transition, not another random online course
  • You need learning that fits around a full-time job
  • You want to apply AI/ML to real-world industry problems

AI/ML Roles This Program Prepares You For

Build the skills, projects, and portfolio required for a wide range of AI and Machine Learning opportunities.

AI Engineer(3–8+ Years Experience)
Machine Learning Engineer(3–8+ Years Experience)
Generative AI Engineer(3–10+ Years Experience)
Applied AI Engineer(5–12+ Years Experience)
MLOps Engineer(5–12+ Years Experience)
AI Technical Lead(8–15+ Years Experience)
AI Product Manager(10+ Years Experience)
AI Solution Architect(10+ Years Experience)
ML Platform Architect(10+ Years Experience)
Time Investment

Exactly what this programme requires. No surprises mid-course.

Professionals hate being misled about time commitment. So here it is, precisely.

8:00 P.M. – 10:00 P.M. | 4 Days a Week. Live instructor-led classes conducted on weekday evenings. Every session is recorded and shared within 24 hours, so you can revisit concepts or catch up whenever needed.

Sample Weekly Schedule

MON
Live class · 2 hrs
TUE
Live class · 2 hrs
WED
Live class · 2 hrs
THU
Live class · 2 hrs
FRI
Preparation & Practice · 2 hrs
SAT
Preparation & Practice · 3 hrs
SUN
Preparation & Practice / Assignment · 3 hrs

Total Commitment: ~16 Hours Per Week.
This schedule is specifically designed for working professionals, allowing you to build AI/ML skills without disrupting your work commitments.

Honest Self-Assessment

Is this programme right for you?

"This program is not for everyone. It's designed for professionals who are serious about building AI/ML expertise and willing to invest time consistently over the next 12 months.

This was built for you if...

You'll probably recognise yourself in at least four of these:

  • You have 5+ years of experience in software, engineering, IT, or technology-related roles and feel you've reached a plateau in growth, compensation, or the complexity of problems you're solving.

  • You've watched AI reshape the industry and want to stay ahead rather than react after the shift has already happened.

  • You're not looking for a quick fix. You're making a deliberate career investment because you can see where technology is heading.

  • You already have strong professional foundations—coding, systems thinking, architecture, problem-solving, or domain expertise—but haven't applied them to AI/ML yet.

  • Time is your most limited resource. You have a career, responsibilities, and commitments, so learning must fit around your life rather than disrupt it.

  • You're looking for a structured roadmap instead of spending months jumping between YouTube videos, online courses, and disconnected resources.

  • You value practical skills over certificates and would rather build real projects than simply complete another course.

  • You're willing to invest consistently over the next 12 months to build meaningful AI/ML capability.

Yes, this is me Reserve my seat

This is probably not for you if...

And that's okay, better to know now

  • You're looking for a quick AI certification rather than building real AI/ML skills.

  • You're looking for a guaranteed job. We don't promise one, and no credible program does. We give you the best possible foundation, guidance, and support, but the outcome still depends on your effort and consistency.

  • You can't commit around 16 hours per week. If the next 12 months are genuinely maxed out, it's better to start later than start and drop midway.

  • You're looking for a passive learning experience. This program involves live classes, projects, assignments, mock interviews, and continuous practice.

  • You're unwilling to build projects. Real AI/ML skills are developed through hands-on implementation, not just watching videos.

  • You're not ready to invest in long-term career growth. This program is designed for professionals who are thinking years ahead, not just months ahead.

Still not sure? Our counsellors will tell you honestly whether this course fits your situation, no sales pressure. WhatsApp us and ask directly.

What professionals always ask. Answered without the spin.

Yes. AI/ML teams need professionals who understand products, systems, customers, and business problems—not just algorithms. Your experience can become a competitive advantage when combined with practical AI/ML skills. The goal is not to start over, but to build on the career foundation you already have.

Your experience built the career you have. Now let it build the
next one.

Every professional in our testimonials had exactly the hesitation you have now. The question isn't whether you're capable of making this switch. It's whether you act while the window is open or wait until the gap is harder to close.

25,000+ Students Trained since 2005
20+ Years Training Experience
6 Industry-Ready AI/ML Projects
3 Structured Mock Interviews
Career Guidance & Placement Assistance

Get AI & Machine Learning Program Details

Fill in your details and our team will contact you shortly to discuss the program, career opportunities, fee structure, and admission process.

*Your details are safe with us. No spam. Our team will contact you shortly.