Next cohort begins on 1st September 2025 | Submit your application today | Top 40 applications will be accepted for next cohort | Best 3 candidates in each Cohort gets 100% sponsored mentorship.
Artificial Intelligence
Transform your career in just 10 weeks with Artificial Intelligence
Limited Batch
Live Data
Real Client
On Job Experience
Who Can Benfit From The Program?
Business Intelligence Skills Using Power BI Can Benefit A Wide Range Of Individuals And Organizations Including:
Students: Aiming a career in Data Science
Working Professional: Wants to transform over to Data Science Domain.
Freelancer: Looking for opportunities to upskill and network in Analytics Domain
Human Resource Professionals: Who want to analyze employee data to identify trends and opportunities for improvement.
Finance Professionals: Who want to track and analyze financial data to make better business decisions.
Business Managers: For intelligent decision making in their operations.
Data Analysts: Who are upskilling their business analytical skills.
Enrepreneurs & C-Level Executives: Wanting to scale their business using BI strategies.
Sales Professionals: Who want to analyze sales data to identify trends and opportunities.
Marketing Professionals: Who want to track and analyze marketing data to improve campaign performance.
Introduction to Artificial Intelligence
Overview of AI: Definitions, history, and key concepts.
AI applications: Real-world examples across various industries.
Machine Learning Fundamentals
Supervised vs. Unsupervised Learning: Key differences and techniques.
Algorithms: Introduction to decision trees, SVMs, and k-nearest neighbors.
Deep Learning and Neural Networks
Neural Network Architecture: Layers, activation functions, and backpropagation.
Deep Learning Applications: Image recognition, natural language processing.
Natural Language Processing (NLP)
Text Preprocessing: Tokenization, stemming, and lemmatization.
NLP Models: Bag-of-words, TF-IDF, and transformers.
Computer Vision
Image Processing Techniques: Filtering, edge detection, and segmentation.
Object Detection and Recognition: Convolutional Neural Networks (CNNs).
Reinforcement Learning
Key Concepts: Agents, environments, rewards, and policies.
Algorithms: Q-learning, policy gradients, and deep Q-networks (DQN).
AI Ethics and Fairness
Ethical Considerations: Bias, fairness, and accountability in AI.
Regulatory Frameworks: GDPR, AI ethics guidelines, and fairness practices.
AI in Robotics
Robotics Basics: Sensors, actuators, and control systems.
AI Integration: Path planning, obstacle avoidance, and autonomous behavior
AI in Healthcare
Applications: Diagnostics, personalized medicine, and medical imaging.
Challenges: Data privacy, ethical concerns, and regulatory compliance
Future of AI
Emerging Trends: Explainable AI, AI safety, and ethical AI.
AI and Society: Impacts on employment, education, and human interaction.
Program Certificate
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Program Certificate
Meet Our Experts
VINAY BORHADE
Founder | Chief Data Scientist
MOHIT JAIN
PM | Data Scientist
AKASH POL
AI Mentor
How It Works?
1.Application Process
Apply for Program via dedicated link to show your interest
