It seems you are looking for the fastest and most effective path to learn PyOpenCL. You do not need to know OpenCL (the hard part) at the start, but it will be helpful to know Python when you begin.
For learning Python syntax quickly, I recommend Codecademy's Python track: http://www.codecademy.com/tracks/python
Then, the Udacity parallel programming course is a great place to start with GPGPU (even though the course is taught in CUDA). https://www.udacity.com/course/cs344 This course will teach you fundamental GPGPU concepts very quickly. You will not need a NVIDIA GPU to participate, because all the course assessments are done online.
After (or during) the Udacity course, I recommend you read, run, and customize PyOpenCL code examples: https://github.com/inducer/pyopencl/tree/master/examples