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While the program itself does not include direct internship or placement support, you will gain practical experience through the hands-on projects and the capstone project. The program helps develop the skills needed to excel in the AI industry, making you a competitive candidate for job opportunities.

 Yes, upon completion of the program, you will receive a certification from DreamsPlus. Additionally, guidance for global certifications such as Data Analytics, ITIL, and Scrum is provided. Certification fees for global exams are not included, but you’ll be supported in preparing for them.

This program is perfect for individuals who are new to AI and Machine Learning or those looking to build upon their existing knowledge. It is suitable for aspiring AI engineers, data scientists, and software developers who want to specialize in AI technologies.

 In the final month, you will work on a comprehensive capstone project where you apply all the concepts and techniques you have learned. The project will integrate AI, Machine Learning, and Deep Learning topics. You will present your project at the end of the program to demonstrate your expertise.

The program spans 6 months and is divided into monthly modules: Month 1: Introduction to AI and Machine Learning Month 2: Machine Learning Month 3: Deep Learning Month 4: Advanced Deep Learning Topics Month 5: Specialized AI Topics Month 6: Capstone Project

 You can register by visiting the DreamsPlus website or contacting us at +91 95000 56713 or support@dreamsplus.in. The program fees are available upon inquiry, and we offer flexible payment options to suit your needs.

The program covers: Introduction to AI and Machine Learning Supervised, Unsupervised, and Reinforcement Learning Regression, Classification, and Clustering techniques Deep Learning with CNNs, RNNs, LSTMs, and GANs Natural Language Processing (NLP) and Computer Vision IT Service Management (ITIL v4 Foundation) Agile Scrum Basics (Project Management)

No, prior experience is not required. The program starts with foundational concepts and progresses to advanced topics, making it suitable for beginners. Some basic knowledge of programming, especially in Python, will be beneficial but not necessary.

You will learn to work with key tools and libraries used in AI and Machine Learning, including: Python programming Machine Learning libraries: Scikit-learn, TensorFlow, Keras Deep Learning frameworks: CNNs, RNNs, LSTMs, GANs Data manipulation and analysis with NumPy, SciPy, and Pandas