No prior technical experience is required. The DeepTech Job Program starts from scratch and is designed for career changers, tech enthusiasts, and aspiring entrepreneurs. You will be guided step-by-step from foundational concepts in Python and software development all the way to advanced topics like drone engineering, AI/ML, and RF systems.

The 24-week curriculum covers Python programming, full-stack web development (Vibe Coding, Supabase), drone engineering (PX4, ROS 2, Gazebo), computer vision (OpenCV, YOLO), Generative AI (LangChain, Hugging Face, Pinecone, Stable Diffusion), machine learning (Scikit-Learn, TensorFlow, Keras), digital marketing analytics (GA4, Looker Studio, Amplitude), RF engineering (MATLAB, spectrum analysis), product management, and hardware prototyping with Raspberry Pi and NVIDIA Jetson.

You should expect to dedicate approximately 25-30 hours per week over the 24-week program duration. This includes live sessions with industry mentors, self-paced learning modules, hands-on project work, and collaborative team activities. The program is intensive by design to prepare you for a career-ready skill level.

You will build three major industry-relevant projects: an autonomous drone system for search and rescue using PX4 and computer vision, a full-stack fitness tracking web application with AI recommendations, and a Generative AI content creation platform with retrieval-augmented generation. These projects integrate hardware and software skills and form the core of your professional portfolio.

Graduates are prepared for roles including Software Engineer, Drone Pilot/Engineer, AI/ML Developer, Digital Marketing Specialist, Product Manager, and RF Engineer. The program's breadth across deep technology domains combined with a strong project portfolio positions you for opportunities at startups, tech companies, defense and aerospace firms, and allows you to launch your own deep tech ventures.

You will gain hands-on proficiency in Python, PX4 Autopilot, ROS 2, Gazebo, OpenCV, YOLO, TensorFlow, Keras, LangChain, Hugging Face Transformers, Pinecone, Stable Diffusion, Supabase, GitHub, Google Analytics 4, Looker Studio, MATLAB, Figma, n8n, Raspberry Pi, and NVIDIA Jetson, among other industry-standard tools used across the curriculum.

The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.

In this course instructors will use English language for teaching.

Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.

Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.

Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in DeepTech Job Program.

Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.

We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.