Generative AI for Coders
Transforming Code Generation
- Gain in-demand skills in Generative AI
- Improve coding efficiency and productivity
- Enhance problem-solving skills
- Stay updated with latest industry trends
- Apply knowledge through practical projects
Start Date
23rd June 2025
Course Duration
360 Hrs
Course Overview
This Generative AI course offers a hands-on, coding-centric introduction to the world of AI-generated content and intelligent systems. Learners will explore the core concepts of generative models such as GANs, VAEs, and Transformers, while building real-world applications like text generators, image synthesizers, and chatbots.
Key Features
- To provide a strong foundation in AI/ML with a focus on generative models.
- To enable learners to create AI-powered applications in code.
- To prepare students for practical industry use cases and certifications (e.g., AWS, Google Cloud AI).
- To explore the ethical dimensions of AI and responsible AI development.
Skills Covered
- AI and ML Fundamentals
- Python for Data Science
- Building Generative Models (GANs, VAEs)
- Creating AI applications in NLP, vision, audio
- Model evaluation and fine-tuning
- Responsible and ethical AI development
Next cohort starts on 23rd June
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Training Options
Associate
Foundation Track
- Master Python basics to OOP
- Learn HTML, CSS, and scripting
- Build logic with core Java skills
Batch starting from:
23rd June
₹20,000 ₹25,000
Enroll Now
Professional
Career Accelerator Track
(Everything in Associate+)
- Create responsive sites with Bootstrap & JS
- Develop backend with Spring Boot & JSP
- Learn basics of AI and machine learning
Batch starting from:
23rd June
₹25,000 ₹30,000
Enroll Now
Course Curriculum
Eligibility
- No prior AI experience required
- Basic programming (Python preferred)
- Enthusiasm to build real AI applications
Course Content
- Introduction to AI & Machine Learning
- Supervised, Unsupervised, and Reinforcement Learning
- Deep Learning Fundamentals: Neural Networks, Backpropagation, Gradient Descent
- Generative vs. Discriminative Models
- Key Concepts in Generative AI: Latent Space, Sampling, Noise
- Generative Adversarial Networks (GANs):
- Architecture: Generator and Discriminator
- Training Process and Variants (DCGAN, StyleGAN)
- Applications: Image Generation, Style Transfer, Data Augmentation
- Variational Autoencoders (VAEs):
- Encoding and Decoding Processes
- Applications: Dimensionality Reduction, Anomaly Detection
- Diffusion Models:
- Forward and Reverse Diffusion Processes
- Applications: Image Generation, Text-to-Image Synthesis
- Python Basics & Core Programming:
- Variables, Data Types, Control Structures
- Functions, Object-Oriented Programming
- Data Handling and Visualization:
- NumPy for Data Manipulation
- Pandas for Data Handling
- Matplotlib & Seaborn for Data Visualization
- Supervised Learning Algorithms:
- Linear & Logistic Regression
- Decision Trees, Random Forest, SVM, Naïve Bayes
- Unsupervised Learning Algorithms:
- K-Means Clustering, Hierarchical Clustering
- Principal Component Analysis (PCA)
- Deep Learning with TensorFlow & Keras:
- Artificial Neural Networks (ANN)
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
- Text Preprocessing:
- Tokenization, Lemmatization
- Bag of Words, TF-IDF
- Advanced NLP Techniques:
- Named Entity Recognition (NER)
- Sentiment Analysis
- Introduction to Transformers and Large Language Models (LLMs)
- Image Generation and Manipulation:
- Creating Photorealistic Images
- Image-to-Image Translation, Inpainting
- Text and Language Applications:
- Text Generation, Translation, Summarization
- Dialogue Systems using LLMs
- Audio and Music Generation:
- Composing Music, Generating Speech
- Other Applications:
- Drug Discovery, Material Design, Creative Content Generation
- Ethical Implications:
- Bias and Fairness
- Misinformation and Deepfakes
- Job Displacement
- Responsible AI Development and Deployment
- Future Trends:
- Multimodal Generative AI
- Explainable AI and Interpretability
- AI-Powered Medical Report Summarization & Diagnosis Assistant
- Personalized AI Shopping Assistant (LLM + RAG + Vision AI)
- Generative AI-Based Video Editing & Captioning (Gen-3, Stable Diffusion)
Course Certificate
Salary Scale
Maximum
35 LPA
Average
15 LPA
Minimum
10 LPA
Job Role
- Generative AI Engineer
- Machine Learning Engineer
- Prompt Engineer
- Conversational AI Developer / Chatbot Developer
- AI Application Developer
- RAG Developer (Retrieval-Augmented Generation)
Tools & Technologies
Why Join this Program
Boost Your Productivity
Learn to automate coding tasks and generate code efficiently using cutting-edge AI tools.
Future-Proof Your Career
Gain in-demand skills in generative AI models sought by top tech companies.
Innovation and Creativity
The program equips you with skills to create innovative applications by leveraging generative AI in various domains such as image, audio, and text generation.
Stay Ahead of the Curve
Joining this program keeps you updated on generative AI, boosting your skills and competitiveness.
Course FAQs
While basic Python knowledge is helpful, the course is designed to teach most tools during the program, making it accessible even to those with limited coding experience.
Yes, participants will receive a certification upon successfully completing the course.
The course duration is structured to fit into a flexible learning schedule, allowing learners to progress at their own pace.
The course includes a combination of live sessions and self-paced learning materials to provide a comprehensive learning experience.
Learners have access to a support system that includes mentorship, discussion forums, and technical assistance to help with any queries or challenges faced during the course.
Completing the course opens up opportunities in various roles such as Generative AI Engineer, Machine Learning Engineer, Prompt Engineer, and AI Application Developer, among others.