Become a Full Stack Developer or AI/ML Expert
Master the latest technologies and methodologies to excel in the rapidly evolving fields of Full Stack Development and Artificial Intelligence/Machine Learning.
Why Choose Our Technical Program
Our Full Stack Development and AI/ML Training programs are meticulously crafted to equip you with the skills and knowledge necessary to thrive in today’s tech-driven world. With a focus on practical learning and hands-on experience, you’ll emerge ready to tackle real-world challenges and drive innovation in your chosen field.
Full Stack Development Program Curriculum
Future-Focused Curriculum for Tomorrow's Full Stack Innovators
MODULE 1:
Web Development Fundamentals
Gain a foundational understanding of web development essentials, setting the stage for building dynamic web applications.
- Introduction to Front-End Languages
- Learn HTML, CSS, and JavaScript basics.
- Create static web pages and deploy them locally.
- Master React for building dynamic web applications.
- Learn to leverage libraries like Bootstrap for responsive design.
- Enhance user experience with interactive elements using JavaScript libraries.
MODULE 2:
Front-End Frameworks and Libraries
Explore popular front-end frameworks and libraries to streamline your development process and create engaging user interfaces.
MODULE 3:
Backend Development
Dive into server-side programming languages and database management to build robust backend systems.
- Develop server-side applications with Node.js and Express.
- Develop server-side applications with Node.js and Express.
- Implement data storage and retrieval using MongoDB or SQL databases.
- Secure your backend with authentication and authorization mechanisms.
- Implement RESTful APIs for communication between client and server.
- Handle user authentication and session management.
- Ensure data consistency and validation across the application.
MODULE 4:
Full Stack Integration
Integrate front-end and backend components seamlessly to create cohesive full-stack applications.
MODULE 5:
Deployment and Maintenance
Learn best practices for deploying and maintaining web applications in production environments, ensuring reliability and scalability.
- Set up continuous integration and deployment pipelines for automated testing and deployment.
- Monitor application performance and troubleshoot issues using logging and monitoring tools.
- Implement security measures to protect against common vulnerabilities.
- Learn about the history and evolution of AI.
- Understand the difference between narrow AI and general AI
- Explore real-world applications of AI in various industries.
MODULE 6:
AI Essentials
Gain a foundational understanding of Artificial Intelligence, exploring its history, types, and real-world applications.
MODULE 7:
Programming for AI
Develop proficiency in Python programming and essential libraries for AI development, laying the groundwork for advanced machine learning concepts.
- Master Python basics and data structures.
- Targeting and Content Strategies for LinkedIn
- Visualize data using Matplotlib and Seaborn for better insights.
- Understand supervised learning algorithms such as linear regression and decision trees.
- Explore unsupervised learning techniques like clustering and dimensionality reduction.
- Evaluate model performance using metrics such as accuracy and loss functions.
MODULE 8:
Machine Learning
Dive into core machine learning concepts, including supervised and unsupervised learning techniques, to build predictive models.
MODULE 9:
Deep Learning and Neural Networks
Explore the fundamentals of deep learning and neural networks, unlocking advanced AI capabilities for image recognition, natural language processing, and more.
- Learn about the architecture of neural networks, including feedforward and convolutional networks.
- Dive into deep learning frameworks such as TensorFlow and PyTorch.
- Apply neural networks to solve real-world problems in computer vision and text analysis.
Bonus Module: Web Application Security
Learn essential security practices to safeguard web applications from common threats.
- Understanding Web Security: Recognize common vulnerabilities and secure coding practices.
- Authentication and Authorization: Implement secure authentication and authorization mechanisms.
- Securing APIs and Data: Protect APIs and sensitive data from unauthorized access.
- Incident Response and Compliance: Develop procedures for handling security incidents and ensuring regulatory compliance
DELTA ACHIEVERS: TESTIMONIALS
Rajat Aggarwal.
Growth Manager
I was able to learn performance marketing step by step and experiment throughout the learning process.
Avinash Raj.
Product Marketing Manager
I received comprehensive training in marketing, which has enabled me to transition from a role in growth to leading product marketing.
Minal Tayal.
Growth Specialist
I worked on SEO, website copy, and targeted ads on Facebook & Google. Though much to learn, the experience was invaluable.
Certifications
Your dedication leads to earning valuable certifications, signifying your proficiency in technology domains.
Upon completion, you'll earn:
- Full Stack Developer Certification:
- Python for AI/ML Certification
- AI/ML Specialist Certification
“Launch Your Tech Career with Confidence” – A direct invitation for recent graduates to apply, promising a comprehensive education and career support tailored to their needs.