Artificial Intelligence Training

Duration: 6 Months

Suitable for: Beginners & Intermediates

Mode: Online & Classroom

Course Overview

Our comprehensive Artificial Intelligence program equips you with the skills to design and implement intelligent systems that can perceive, reason, learn, and act autonomously. This intensive course covers machine learning, deep learning, computer vision, natural language processing, and reinforcement learning, preparing you for a career at the forefront of technological innovation.

Led by industry professionals with extensive experience in AI research and development, this training program combines theoretical foundations with hands-on projects, ensuring you gain practical experience building real-world AI applications. By the end of the course, you'll have a professional portfolio demonstrating your ability to solve complex problems using cutting-edge AI techniques.

Course Curriculum

Module 1: Foundations of Artificial Intelligence
- Introduction to AI and Intelligent Systems
- History and Evolution of AI
- Types of AI: Narrow, General, and Super Intelligence
- Python Programming for AI
- Data Structures and Algorithms
- Mathematics for AI (Linear Algebra, Calculus, Probability)
- Ethical Considerations in AI Development
Module 2: Machine Learning Fundamentals
- Supervised Learning Algorithms
- Unsupervised Learning Techniques
- Feature Engineering and Selection
- Model Evaluation and Validation
- Ensemble Methods
- Dimensionality Reduction
- ML Pipelines and Automation
Module 3: Deep Learning
- Neural Network Architecture
- Forward and Backward Propagation
- Activation Functions and Loss Functions
- Optimization Algorithms
- TensorFlow and PyTorch Frameworks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs) and LSTM
Module 4: Computer Vision
- Image Processing Fundamentals
- Object Detection and Recognition
- Facial Recognition Systems
- Image Segmentation Techniques
- Video Analysis and Understanding
- Transfer Learning for Computer Vision
- Applications in Healthcare, Retail, and Security
Module 5: Natural Language Processing
- Text Preprocessing and Tokenization
- Word Embeddings (Word2Vec, GloVe)
- Language Modeling and Text Generation
- Named Entity Recognition
- Sentiment Analysis and Text Classification
- Machine Translation Systems
- Transformer Models and BERT
Module 6: Generative AI
- Generative Adversarial Networks (GANs)
- Variational Autoencoders (VAEs)
- Diffusion Models
- Image Generation and Manipulation
- Text-to-Image Models
- Style Transfer Techniques
- Creative Applications of Generative AI
Module 7: Reinforcement Learning
- Markov Decision Processes
- Q-Learning and SARSA
- Policy Gradient Methods
- Deep Q-Networks (DQN)
- Actor-Critic Algorithms
- Multi-Agent Reinforcement Learning
- Applications in Robotics and Game Playing
Module 8: AI in Production
- Model Deployment Strategies
- MLOps and Model Lifecycle Management
- Scalable AI Infrastructure
- Model Monitoring and Maintenance
- Edge AI and Embedded Systems
- API Development for AI Services
- Cost Optimization and Performance Tuning
Module 9: Capstone Projects
- Intelligent Virtual Assistant
- Computer Vision Application
- Recommendation System
- Generative Art Application
- Autonomous Agent Development
- Portfolio Development & Documentation

Learning Outcomes

Design and implement machine learning and deep learning models
Develop computer vision applications for object detection and recognition
Build natural language processing systems for text analysis and generation
Create generative models for creative content production
Implement reinforcement learning agents for sequential decision-making
Deploy AI solutions to production environments
Develop a professional portfolio of AI projects

Career Opportunities

AI Engineer
Machine Learning Engineer
Computer Vision Engineer
NLP Specialist
AI Research Scientist
Conversational AI Developer
Robotics Engineer

₹45,999

Inclusive of all taxes

200+ Hours of Training
8+ Real-world Projects
Industry-relevant Curriculum
Expert Instructors
Job Placement Assistance
Certificate of Completion
Access to Resources & Materials
Internship Opportunities

Enroll Now

Student Success Stories

"The AI course at Shabnam Infosys was exactly what I needed to transition from traditional software development to artificial intelligence. The comprehensive curriculum covered everything from fundamental concepts to cutting-edge techniques. The hands-on projects were particularly valuable – I built a computer vision system that became the centerpiece of my portfolio. Within two months of completing the course, I received multiple job offers and now work as an AI Engineer at a leading tech company."

Rahul Khanna

AI Engineer at TechVision Solutions

"As a data analyst looking to advance my career, this AI course provided the perfect blend of theory and practical applications. The NLP modules were comprehensive and incredibly relevant to my industry. The instructors were not only knowledgeable but also supportive, especially when I struggled with complex algorithms. My capstone project involved building a sentiment analysis system for customer reviews, which impressed my current employer so much that they promoted me to lead our new AI initiatives."

Priya Desai

AI Solutions Lead at Analytics Global

"I enrolled in the AI course with no prior experience in machine learning, just a background in basic programming. The structured curriculum helped me build strong foundations before moving to advanced topics. The generative AI and computer vision modules were especially fascinating. For my final project, I developed an AI art generation system that I've since turned into a startup. The mentorship from the instructors continues even after course completion, which has been invaluable for my entrepreneurial journey."

Arjun Mehta

Founder & CEO at ArtifexAI

Frequently Asked Questions

What prerequisites are needed for this AI course?

A basic understanding of programming (preferably Python) and fundamental mathematics (algebra, statistics) is recommended. However, we provide pre-course materials to help beginners build the necessary foundation before diving into AI concepts. For those with no programming experience, we suggest taking our Python fundamentals course first.
How is this AI course different from the Data Science course?

While there is some overlap, our AI course focuses more deeply on building intelligent systems that can perceive, reason, and act autonomously. It places greater emphasis on deep learning, computer vision, natural language processing, generative AI, and reinforcement learning. The Data Science course, on the other hand, concentrates more on statistical analysis, data manipulation, and business intelligence. AI is one application of data science, but with broader scope in creating autonomous systems.
Will I need specialized hardware for this course?

For most of the course, a standard laptop or desktop computer will be sufficient as we provide cloud-based GPU resources for intensive tasks. For the deep learning and computer vision modules, we'll use Google Colab and AWS/Azure cloud computing resources, which are included in your course fee. We'll guide you through setting up your development environment during the first week of the course.
Are there opportunities to work on real-world projects?

Absolutely! In addition to the guided projects throughout the course, we partner with companies looking for AI solutions to their business problems. In the final two months, you'll have the option to work on a real industry project, giving you valuable experience and potential networking opportunities. These projects often involve solving actual business challenges using AI techniques and are frequently used as references by our students during job interviews.
What kind of job support is provided after course completion?

Our placement support includes AI-specific resume building, technical interview preparation focusing on AI algorithms and applications, mock interviews with industry professionals, portfolio development, and connections with our network of hiring partners. We also organize AI-focused career fairs and networking events. Our placement team works with you until you secure a position, with dedicated mentors providing guidance throughout your job search process.

Artificial Intelligence