

ABOUT US
We believe in R+ training methods!
Tawnya embraces Positive Reinforcement training because it is effective and it helps your dog learn new behaviors with confidence. Additionally, they learn to trust you as their owner. Rather than traditional training, force-free training methods encourage your dog to offer behaviors without fear of retribution.

OUR TRAINING
Each of our courses use positive reinforcement to encourage the development of desirable skills. We use these methods so that you and your dog have fun learning, because they are kinder, and because they are actually much more effective in teaching positive behaviors and discouraging undesirable behaviors than punitive training methods.
Scent Work
This class explores games that use our dog innate sniffing abilities! A fun class that enriches the lives of our pups and their people. The best part... ANY dog can play these games.
Competition Obedience/Rally
Want to try competition Obedience or Rally?
We will learn competition behaviors that are fun and motivating for your pup. We will learn these behaviors at the Happy Acres Dog Training facility and then take a Field Trip to dog friendly places to practice.
Consultation
Don't know where to start? Start with a 30 minute, one-time consultation. This is not a training session, it is an opportunity to look at your pup and assess the training needs of your pup. Recommendations will be given for best next step classes and goals.
Puppy & Adult Trans4mation
Let us help you teach your pup great manners all in the comfort of your own home! These online courses use positive reinforcement to encourage the development of desirable skills.
K9 Parkour
Just like the human version of parkour, your dog will work on ways to conquer obstacles too. We will have lots of fun by using nature’s obstacles and everyday objects to learn to climb, balance, and jump. Some basic obedience knowledge is required. With a little adaptation and imagination, all breeds and ages can do this. *In-person class offered yearly in the summer


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