Name: Intro to Machine Learning with Tensorflow
Rating: 5 (6 reviews)

Module 1: Supervised LearningModule 2: Deep LearningModule 3: Unsupervised Learning

Kaggle

English

Indian rupee

Course Credibility

The completion of this certificate renders a certificate from Udacity, an American educational organization that offers massive open online courses. It provides over 190 courses that are mostly covered in trending technologies. It was founded to pursue a mission to democratize education. It offers aspiring learners across the globe the opportunity to participate in—and contribute to—some of the world's most exciting and innovative fields. It provides numerous certification courses to students.

Accrediation

Faculty Experience

Institution Reputataion (Tier-1,2,3/Top B School, Others)

Alumni Status to the Learner

Corporate Sponsors

Course Review

Flexibility- Self/Instructor paced

Pedagogy

The professors associated with this course have degrees from renowned institutions in cloud development. The course faculty includes international professors. It is an instructor-paced course that is conducted in an online mode. The course offers instructor moderated discussions that provide great opportunities to make and build connections. The learners get to enjoy the benefits of hands-on training. The curriculum prepares the learners for a career in the real world.

Industry Relevant Curriculum

Personalised or Dedicated Guidance and Mentoring

Discussion Forums / Instructor moderated

Course Accessibility- Mobile/Desktop

International Faculty

Hands-on training

The modules of this course are detail-oriented, comprehensive and practical. Apart from theoretical concepts, the learners also learn through hands-on training. The course curriculum is designed to help the learners know about Supervised Learning, Deep Learning and Unsupervised Learning. The learners will get hands-on training that will enhance their skills. The course offers learning by solving real-life cases that provide extensive candidates' exposure.

Case Based Learning

Projects- Capstone, Industry-Simulation

Hands on training

Virtual Labs

Career impact

This certification course will help the learners grow their skill set. The learners will learn some popular industry-related skills that will help them sustain longer in this domain. The course also offers assistance and guidance related to jobs. The mentors will guide the process of learning and resolve all their queries. The course contains a capstone project that helps candidates enhance their knowledge. The course offers personalized feedback to all the learners to improve upon them.

Career Transition

CV & Interview Preparation

Job Impact

Pricing

The course is four months long and offers limited access to course material. It is priced at a lower amount as per the industry standards. However, this course provides job-related assistance to help learners grow professionally, capstone projects, case-based learning, and personalised teaching. It is worth investing in as it's an accredited degree course. By the end of the program, the learners will understand Reinforcement Learning, Python Programming, Tensorflow, Data Visualization and Computer Vision.

Peer Average

Assessment

The assessment method involves completing assignments and undertaking projects under various modules throughout the degree. These can be research-based or concept specific. The final assessment ends with a capstone project. The evaluations are designed to ensure continuous student engagement with the program and to encourage learning.

Present/Absent

Project Based Grading

Assignments

Quizzes

Udacity offers this program, and this program helps learners understand foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms. We recommend this course to all who have experience with data structures like dictionaries and lists and libraries like NumPy and pandas. Regardless of experience and specific background, applicants can enrol in this program. Industries, tech firms, start-ups and government agencies are areas where one can work as an artificial intelligence analyst.

Start with data cleaning and supervised algorithms to learn foundational machine-learning algorithms. Next, explore deep and unsupervised learning. You can gain practical experience at each stage by using your skills to code projects and exercises.

Cezanne Camacho

Mat Leonard

Luis Serrano

Dan Romuald Mbanga

Jennifer Staab

Sean Carrell

Josh Bernhard

Jay Alammar

Andrew Paster

Juan Delgado

Michael Virgo

Learn "Intro to Machine Learning with Tensorflow" "Certification" by "Udacity" and upskill your career by acquiring skills like Machine Learning Algorithms etc with Careervira.