Advanced – AI /ML
Advanced – AI (Artificial Intelligence) & ML (Machine Learning), the focus shifts towards advanced techniques and applications. This includes delving into deep learning architectures like convolutional neural networks (CNNs) for image recognition and recurrent neural networks (RNNs) for sequential data analysis. Advanced practitioners often explore reinforcement learning for autonomous decision-making systems and generative adversarial networks (GANs)
for generating synthetic data. They may also specialize in natural language processing (NLP), robotics, or computer vision, pushing the boundaries of AI & ML to solve complex problems and create innovative solutions across diverse domains.
Eligibility Criteria:
BE, B.Tech, ME, M.Tech in ECE/CSE/IT/EEE/EIE/Electronics/Mechatronics/M.Sc. Electronics/Computers and other relevant streams.
Duration: 3 Months
Note: Working candidates who are working in relevant streams can take admission.
Offline Batch starts: 20-May-24
Online Batch Starts Date: 20-May-24
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Program Highlights
Exceptional Faculty
The instructors at SkillTarget are enthusiastic about imparting knowledge and bring over 12 years of valuable industry experience to their training sessions.
Comprehensive Course Curriculum
Our course curriculum is designed to be industry-relevant, offering a blend of practical exposure and theoretical understanding.
Hands-On Projects
Participants will engage in hands-on projects spanning diverse domains to gain practical, real-world application knowledge.
Job Readiness
Starting from Day 1, we provide rigorous interview preparation to prepare candidates thoroughly for interviews.
Learning Path
Why Skill>Target ?
Industry-Based Course Curriculum
Value Added Courses: Python and Azure
Hands-on with 20+ Assignments