Create AI-powered projects on the go with our exciting TinyML Workshop!
Empower your creativity with AI-driven projects you can build and carry anywhere through our TinyML workshop!
Limited Seats Available.
What You'll Learn
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Mastery of TinyML Fundamentals
Gain a comprehensive understanding of TinyML concepts, including how to program and optimize machine learning models
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Real-Time AI Applications
Understand how to deploy and run AI models on edge devices for real-time inferencing, enabling you to create responsive solutions.
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End-to-End AI Project Execution
Develop the capability to complete an entire TinyML project cycle—from model building and training to deployment.
Meet Your Trainers
Our trainers bring a unique perspective and wealth of experience to the table, ensuring a dynamic and enriching learning experience for all attendees.
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Daniel Dsouza
Co-Founder & CTO
Daniel D'souza is the Co-Founder & CTO at TIF Labs, where he drives innovation in Embedded Systems, IoT, Artificial Intelligence, and Machine Learning. With extensive experience in delivering hands-on workshops and faculty development programs, Daniel has empowered engineering students and educators in upskilling in the above technologies using a project first approach.
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Stitiprangya Patra
Tech Associate
As a Tech Associate at TIF Labs, Stitiprangya Patra specializes in Machine Learning, Neural Networks, and Data Science, applying advanced mathematical concepts to drive innovation and enhance model performance. His technical expertise is evident through his work with Machine Learning and Deep Learning techniques, including DNN, Random Forest, and XGBoost.
Things Required :
- 1 x Raspberry Pi Pico Soldered
- 1 x Cable for Pico ( USB to Micro USB)
- 1 x MPU6050
- 1 x Pulse Rate Sensor
- 1 x Pico Expansion Board - ADIY
- 20 x Jumper Wires - Female to Female
- 5 x LED - RED
- 1 x Active Buzzer
- 10 x Resistors - 220 Ohm
Kits are not included in the workshop.
Components to be arranged by participant.
Pre Requirements:
1.Basic Understanding of Neural Networks and Embedded Systems (Programming Micro-controllers)
What Past Attendees Are Saying
Don't Miss Out On This Exclusive Opportunity!
Don't miss out on this exclusive opportunity to dive into the cutting edge of technology ! Join our TinyML workshop and unlock the potential of edge AI, gaining hands-on experience.
FAQ'S
How much time should I commit to the courses every week?
The time commitment varies depending on the course, but most courses require an average of 12-15 hours per week. Some advanced or intensive courses might require more time, while introductory courses may require less.
Will I receive a certification upon completion of the course?
Yes, upon successfully completing a course, you will receive a certification from TIF Labs. This certification can be a valuable addition to your professional portfolio, showcasing your expertise and skills in the respective field.
Are the courses available online or offline?
The live sessions will be conducted online. Assignments and self-learning materials can be accessed at your convenience. However, the deadline for all assignments is one week after the course completion.
Are there any prerequisites for this course?
Since this is a beginner-level course, there are no specific prerequisites required. The only requirements are a basic computer or laptop with a stable internet connection.
Can I learn at my own pace?
The course includes a combination of live teaching sessions and self-paced assignments. The live sessions will have fixed timings, while the assignments can be completed within an extended duration of one week after the course concludes.
Are there recordings available for the classes?
Recordings of the classes are not available. Attendance at live sessions is required for hands-on learning and Q&A opportunities.
If any queries about Payment/Course, please free to to write an email to connect@robocraze.com or ring us at +918123057137
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