20 plus years of experience, Friendly transition track
Become Job-Readyin Applied AI Engineering
Build, deploy and scale real-world AI applications using Generative AI, Large Language Models, RAG, Agentic AI, and MLOps with Cloud Deployment
- Generative AI, LLMs, RAG & Agentic AI
- LangChain, LangGraph, CrewAI, MCP & Vector Databases
- FastAPI, Docker, MLOps & AWS Deployment
- Enterprise-Grade AI Capstone Project
- Live Weekend Classes, LMS Recordings & Career Support
Industry-focused training with live learning, practical assignments, and career support.
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Made for Working Professionals and
Career-Focused Students
6 Months Pace you can sustain
Live instructor-led classes Learn with clarity
LMS recordings included Stay consistent
25,000 plus Trained learners Proof of delivery
Trusted by learners from the legacy JLC, Java Learning Center,
now Dandes Academy.
What You Learn In This Applied AI Engineering Course
You cover the complete build-to-deploy path companies
expect for GenAI, LLM and Agentic AI roles.
Core topics include
1
AI Foundations — ML, DL and NLP concepts you actually need
2
Generative AI — VAEs, GANs, Diffusion Models, Image Prompting
3
Large Language Models — Prompting, Fine-Tuning, RAG, Alignment
4
Agentic AI — Autonomous Agents, Memory, Planning, Multi-Agent Systems
5
AI Engineering & Deployment — FastAPI, Docker, Kubernetes, CI/CD
6
Production AI Systems — MLOps, Monitoring, Model Management, AWS
7
Enterprise AI Capstone — Production-Grade AI System, End to End
Built Around Projects, So You Have Proof Of Work
Throughout the course, you work on assignments and mini projects across GenAI, LLMs and Agentic AI, and finish with an Enterprise AI Capstone — a real system with LLM/RAG/Agent integration, built with FastAPI, containerized with Docker, and deployed on AWS. This becomes the centerpiece of your portfolio and your strongest interview talking point.
Who Should Join This Applied AI Engineering Course
This program is built for people who need to move fast into GenAI, LLM and Agentic AI roles — without spending a year on classical ML they won't use. Whether you're switching roles, re-entering the job market, or sharpening your profile for AI-specific interviews, the structure keeps you focused on exactly what these roles need.
Applied AI Engineering For Working Professionals
If you are already in tech and need to move into GenAI, LLM or Agentic AI roles quickly — whether by choice or because of a layoff — this course is built for real urgency, not a leisurely 12-month pace. You learn on weekends, with recordings if you miss a session, and a focused roadmap built to get you interview-ready fast.
You will benefit most if you want to:
- Move into GenAI/LLM/Agentic AI roles in 6 months, not a year Skip classical ML and Computer Vision you dont need for these roles
- Learn on weekends — Sat/Sun, without quitting your job or pausing your search
- Build deployed projects you can confidently walk through in interviews
A Learning Format You Can Manage With A
Job Or College
A good curriculum is not enough if you cannot stay consistent. This program is designed to work with real schedules. You attend live classes for structure and clarity, and you use the LMS recordings and support system to stay on track when you miss a session.
Live instructor-led classes
Live online sessions with clear, step-by-step teaching and real time Q and A.
Recordings and LMS access
Missed a class, catch up on the LMS recordings and revise anytime.
Assignments and continuous practice
Regular assignments and evaluations to make progress measurable.
From AI Foundations To Production, A Complete Learning Journey
This program is built for people who need a focused route into GenAI, LLM and Agentic AI roles. Whether you're transitioning from a backend role, re-entering the job market, or sharpening an existing AI profile, the phase structure keeps you moving toward one goal: a deployed, production-grade AI system you can defend in an interview.
You always know what to focus on next, what to practice, and what to build. This is especially useful on a weekend-only schedule, where every session needs to count.
Phase 1
AI Foundations you actually need
- Python fundamentals (prerequisite — only if you don't already have this).
- ML, DL and NLP concepts used throughout this track.
- Cost functions, gradient descent, neural networks, Transformers, tokenization, and embeddings.
Phase 2
Generative AI and Large Language Models
- Generative AI — VAEs, GANs, Diffusion Models, and Image Prompting.
- LLM Foundations — tokenization, embeddings, and context windows.
- Prompt Engineering, Fine-Tuning (LoRA/QLoRA), and Alignment (RLHF).
- RAG — chunking, embeddings, retrieval, and vector databases.
Phase 3
Agentic AI
- Agent architecture — perception, planning, reasoning, and action.
- Memory, planning, and reasoning using ReAct and Plan-and-Execute.
- Frameworks — LangGraph, CrewAI, and LangChain Agents.
- MCP & tool integration and multi-agent systems.
Phase 4
AI Engineering, MLOps and Cloud Deployment
- API Development with FastAPI and Containerization with Docker.
- CI/CD and automated build & deployment pipelines.
- MLOps foundations, model & data management, and monitoring.
- Cloud Deployment on AWS.
Phase 5
Enterprise AI Capstone
- Build one production-grade AI system, end to end.
- LLM/RAG/Agent integration built on FastAPI, Docker, and AWS.
- Monitoring, optimization, and a live production demo.
A Focused AI Program Built For Real Jobs, Not Just Certificates
A lot of AI courses either stay too theoretical or jump straight into tools without real foundations — that creates confusion later, especially in interviews. This program builds the AI Foundations you actually need first, then moves straight into GenAI, LLMs, Agentic AI, and shipping to production — nothing you won't use in these roles.
What sets us apart
- Clear roadmap with milestones.
- Live classes with real-time Q&A.
- Real, deployed projects that become portfolio proof.
- Deep GenAI, LLM, RAG and Agentic AI workflows.
- Full MLOps and Cloud Deployment on AWS.
- One Enterprise AI Capstone, built and deployed end to end.
- Outcome-focused learning you can explain in interviews.
Hear from Learners Who Started Their AI Journey with Dandes Academy
Choosing the right AI & Machine Learning program takes more than reading a curriculum. You want to know if learners understand the concepts, build real projects, stay consistent, and enjoy the learning experience. Hear from engineers, working professionals, and students who have started their AI journey with Dandes Academy.
“This course gave me a complete roadmap. I am now confident about my transition into AI/ML. Dande Sir explains every concept with so much clarity and patience. This course gave me real confidence to move into AI/M”
~ Anek Kumar Singh
Software Development Engineer III
JPMorgan Chase, Bangalore
Questions to ask before joining an Applied AI course
Quick answers to common queries about batches, recordings, and career support.
Ready to start? Get your syllabus and next batch details
Share your goal, and we'll send you the Applied AI Engineering syllabus, fee details, and next batch schedule on WhatsApp, email, or a quick call. If you're unsure whether this track or our 12-month AI & Machine Learning program is the better fit, our team will guide you based on your background and target role.
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