You should have at least 2 years of experience in software development or data science, proficiency in Python programming, a foundational understanding of statistics and linear algebra, and basic familiarity with at least one cloud platform (AWS, Azure, or GCP). This is an intermediate-to-advanced program designed for professionals looking to specialize in AI architecture.

The curriculum covers the full AI stack: classical machine learning, deep learning (CNNs, RNNs, transformers), generative AI with large language models, retrieval-augmented generation (RAG), AI agent design and orchestration, scalable AI system architecture, MLOps and CI/CD for model deployment, cloud-based AI infrastructure on AWS, Azure, and GCP, and AI governance and responsible AI practices.

Over the 24-week program, you should plan for approximately 15-20 hours per week, which includes live sessions, self-paced learning modules, hands-on labs, and capstone project work. The schedule is designed to accommodate working professionals while ensuring deep engagement with the material.

You will build three industry-relevant projects: a credit risk assessment system using ensemble ML techniques, a conversational AI agent with RAG for enterprise customer support, and an end-to-end predictive maintenance AI system for manufacturing. Each project involves real-world data, production deployment, and monitoring — mirroring the work of an AI architect.

Graduates are prepared for high-demand roles including AI Architect, AI Solutions Consultant, Machine Learning Engineer, Generative AI Developer, AI Product Manager, and AI Strategy & Governance Lead. The program's emphasis on system design, cloud deployment, and AI strategy equips you to lead AI transformations at the organizational level, significantly increasing your market value.

You will work extensively with Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, and LangChain for model building and AI agent development. For deployment and MLOps, you'll use Docker, Kubernetes, MLflow, FastAPI, and CI/CD pipelines. Cloud platforms include AWS SageMaker, Azure ML, and GCP Vertex AI. You'll also use Pinecone for vector databases and Prometheus and Grafana for monitoring.

EdYoda's Job Program is a rigorous, outcome-driven training designed to help you transition into high-demand roles like Cloud Architect, DevOps Engineer, or Full Stack Developer. It combines live classes, 1:1 mentorship, customized projects, certifications, and dedicated placement support.

The program is ideal for professionals aiming for career acceleration, role transitions, or restarting their careers. This includes early-career engineers, working professionals seeking to switch domains, and anyone wanting to build a career in Cloud and DevOps.

You get hands-on projects, structured assignments, doubt resolution, and personalized support. This includes 1:1 Mentorship for Project Building & Certification, 1:1 Interview Preparation Support, 1:1 Placement Manager, and 1:1 Profile Building.

On average, 6–10 hours per week including live sessions, guided self-learning, and project work. The program is designed to be flexible and manageable alongside a full-time job.

If you request a refund within 72 hours of purchase, you’ll receive a 100% refund (2.5% deducted by payment gateway) of your total paid fees, no questions asked. After 72 hours, if within 18 months of registration fewer than five interviews are arranged by our recruitment team, you will receive a proportionate refund of the 1:1 Recruiter Support fee based on the number of interviews conducted — for example, if four out of five interviews are completed, you’ll receive a 20% refund of the Recruiter Support fee. Your total program fee is structured to reflect the value offered at each stage of your learning journey : LIVE Classes (200+ hours): 23%, 1:1 Mentorship for 2 projects: 20%, and 1:1 Recruiter Support for 5 guaranteed interviews: 57%.

Your dedicated Placement Manager will refine your resume and LinkedIn, prepare you for interviews, connect you to curated job opportunities, and support you until you successfully land a role.

An industry expert will guide you through real-world projects, certifications, and applying best practices. This ensures you graduate with strong hands-on experience and a job-ready portfolio.

You’ll get mock interviews, technical test preparation, and personalized feedback to help you build confidence and succeed in real hiring processes.

Yes. You’ll receive end-to-end job readiness support—resume & LinkedIn review, mock interviews, portfolio guidance, and multiple job opportunities from your 1:1 Placement Manager.

You will be connected to up to 5 curated job opportunities until you secure a role that matches your skills and career goals. Once you agree to pursue an opportunity, you will be introduced to the hiring manager, and it will be counted as one of your opportunities. You can top up this by paying a fee.

Yes, based on your skills, certifications, and eligibility. We also help explore remote international opportunities with global companies.