Artificial Intelligence is no longer just for researchers—it’s becoming an essential skill for every developer. From AI programming for intelligent chatbots to AI web development for smart applications, businesses worldwide are hiring developers who can integrate AI into products and services.
This AI Developer Course is designed for programmers, software engineers, and tech enthusiasts who want to upskill in AI and build intelligent applications. The course takes you through AI fundamentals, machine learning models, natural language processing (NLP), computer vision, and deployment techniques. By working on projects such as recommendation systems, automated assistants, and AI-based web applications, you will learn how to apply AI to real-world problems.
Whether you are just starting out or already experienced in development, this AI Development Course equips you with the programming skills, frameworks, and tools to create AI-powered systems. With a strong focus on coding, application building, and deployment, this program ensures you become industry-ready in the fast-growing field of AI development.
₹60,000
Comprehensive Curriculum: Covers AI fundamentals, machine learning, deep learning, NLP, computer vision, and deployment.
Hands-On Projects: Build real-world applications including chatbots, recommendation engines, and AI-driven web apps.
Developer-Focused Approach: Unlike generic AI programs, this AI programming course is designed for coders and focuses on application development.
Framework Mastery: Learn industry-standard tools such as TensorFlow, PyTorch, Scikit-learn, and NLP libraries.
Web and Cloud Integration: Gain skills in AI web development using Flask, FastAPI, and cloud platforms like AWS, GCP, and Azure.
Flexible Learning: Choose between online classes or instructor-led sessions to fit your schedule.
Mentorship: Learn directly from AI professionals and experienced software engineers.
Internship & Career Support: Access internship opportunities and placement support in AI and machine learning roles.
Certification Advantage: Earn a globally relevant AI Developer Certification that strengthens your resume and career prospects.
Future-Oriented Skills: Stay ahead in the job market by mastering the skills companies demand in 2025 and beyond.
After completing this AI for Developers Course, you will receive an Artificial Intelligence Developer Certification. This certificate validates your expertise in AI development, AI programming, and AI web development, making you career-ready for roles in AI engineering, machine learning development, and software product innovation.
The certification is recognized by industry recruiters and demonstrates your ability to design, train, and deploy AI-powered systems. With AI adoption increasing in every industry, this AI developer certification gives you an edge over traditional developers and opens opportunities in tech companies, startups, and enterprise organizations worldwide.
Developer-Centric Design: Specifically created for programmers and software engineers who want to learn AI for developers.
Practical Focus: Emphasis on coding and implementation rather than just theory.
Industry Certification: Gain an AI Developer Certification that validates your skills to employers.
Hands-On Projects: Work on real-world coding projects like chatbots, AI assistants, and intelligent recommendation systems.
Flexible Learning Options: Access the AI in development course online or in classroom settings.
Expert Faculty: Learn from industry experts who have real experience in AI programming and deployment.
Full Stack AI Development: Training in both backend AI model building and AI web development integration.
Internship Opportunities: Apply your skills in real environments through guided internships.
Career Support: Placement assistance, resume guidance, and interview preparation.
High Market Demand: Developers with AI expertise are among the most in-demand professionals, with opportunities worldwide.
AI programming with Python
Building and training machine learning models
Deep learning and neural networks
NLP for chatbot and text analysis applications
Computer vision for image recognition and classification
AI web development using Flask, FastAPI, and React integrations
Model deployment on cloud platforms
Scalable AI system design and integration
Programming & Data Tools: Python, NumPy, Pandas
Machine Learning & Deep Learning: Scikit-learn, TensorFlow, PyTorch
NLP Libraries: SpaCy, NLTK, Hugging Face Transformers
Web Development for AI: Flask, FastAPI, Node.js integrations
Cloud & Deployment: AWS Sagemaker, Google AI, Microsoft Azure AI tools
Version Control & Collaboration: Git, GitHub