Advanced Data Science Program with GenAI Specialization
Take the Leap from Developer to
Master Computer Vision, NLP, Generative AI, LLMs, RAG and Fine-Tuning through hands-on, real-world projects.
Advanced Data Science Program with GenAI Specialization
Take the Leap from Developer to
Master Computer Vision, NLP, Generative AI, LLMs, RAG and Fine-Tuning through hands-on, real-world projects.
Tomorrow's software, Today's AI
Artificial Intelligence (AI) is transforming industries and creating unprecedented opportunities.
AI is taking over
65% of organization now use AI, highlighting the need to upskill
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What You'll Gain?
Job-Ready AI/ML Skills
Master in-demand skills (ML, Deep Learning, CV, NLP, Gen AI) and build 4+ recruiter-attractive projects, including a capstone projects
Expert-Led Practical Training
Learn from industry experts via live weekend sessions, hands-on coding, and 1:1 mentorship for career guidance.
Hands-On with Industry Tools
Work on Kaggle, GitHub and Google Colab
Skill Validation & Certification
Get certified upon successful course completion and performance in post assessment
Learning & Networking
Join a Slack community, attend live Q&A sessions, and collaborate in hackathons/workshops.
Cutting-Edge AI Exposure
Dive into Generative AI (LLMs, LangChain, RAG), Agentic AI, and advanced CV/NLP (YOLO, Transformers etc).
Syllabus
MODULE – 1 Foundation EDA And FE
- Duration: 1 Month
- NumPy
- SciPy
- Pandas
- Jupyter notebooks
- Matplotlib
- Seaborn
- Handling missing data
- Encoding
- Normalization
- Creating features
- Selecting features
- Scaling features
MODULE – 2 Supervised Learning
- Duration: 1.5 Month
- Linear Regression
- Polynomial Regression
- Ridge Regression
- Lasso Regression
- Elastic Net
- Logistic Regression
- Decision Trees
- Random Forests
- SVM
- k-NN
- XGBoost
- Cross-validation
- Confusion Matrix
- ROC Curve
- AUC
- SHAP
- SMOTE
MODULE – 3 Unsupervised Learning
- Duration: 0.5 Month
- K-Means
- DBSCAN
- PCA
- t-SNE
- LDA
- Isolation Forest
- Statistical outlier methods
MODULE - 4 Neural Networks
- Duration: 1.5 Month
- Perceptron
- Activation functions
- Forward propagation
- Backpropagation
- Gradient Descent
- Learning-rate scheduling
- Dropout
- Batch Normalization
- TensorFlow
- PyTorch
MODULE – 5 Computer Vision
- Duration: 1 Month
- OpenCV
- Image filtering
- Image transformations
- Edge detection
- Data Augmentation
- CNNs in Keras
- CNNs in PyTorch
- ResNet
- VGG
- MobileNet
- Faster R-CNN
- YOLO
MODULE – 6 NLP
- Duration: 1 Month
- Tokenization
- Stemming
- Lemmatization
- POS tagging
- NER
- Dependency parsing
- Word2Vec
- GloVe
- BERT basics
- RNNs
- LSTMs
- Encoder–Decoder architectures
MODULE – 7 Advanced Generative AI
- Duration: 1.5 Month
- Transformers
- Text models
- Vision models
- Multimodal models
- Fine-tuning LLMs
- Summarization
- Question Answering
- Zero-shot prompting
- Few-shot prompting
- Chain-of-thought prompting
- REST APIs with generative models
- Hugging Face
- LangChain
MODULE – 8 Agentic AI
- Duration: 1 Month
- LLM agents
- Tool integrations
- Retrieval-Augmented Generation
- AutoGPT loops
- API calls
- Database queries
- Vector search
- PDF ingestion
- Agent monitoring
- Hallucination management
MODULE – 9 CapStone Resume-Worthy Project
- Duration: 1 Month
What You'll Gain?
01. Job-Ready AI/ML Skills
Master in-demand skills (ML, Deep Learning, CV, NLP, Gen AI) and build 4+ recruiter-attractive projects, including a capstone projects
02. Expert-Led Practical Training
Learn from industry experts via live weekend sessions, hands-on coding, and 1:1 mentorship for career guidance.
03. Hands-On with Industry Tools
Work on Kaggle, GitHub and Google Colab
04. Skill Validation & Certification
Get certified upon successful course completion and performance in post assessment
05. Learning & Networking
Join a Slack community, attend live Q&A sessions, and collaborate in hackathons/workshops.
06. Cutting-Edge AI Exposure
Dive into Generative AI (LLMs, LangChain, RAG), Agentic AI, and advanced CV/NLP (YOLO, Transformers etc).
Your Path to Success with WiseCoder
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Success Stories That Inspire
Tanmayi
Being in the PDSA batch helped me focus on DSA. Topic-wise questions deepened my understanding. Weekend classes in aptitude and DSA were very useful and built a strong problem-solving mindset.
Vishnu Priya
This DSA training helped me prepare for tech interviews by teaching advanced data structures and algorithms. Mock interviews and regular practice improved my problem-solving and interview performance significantly.
Rajasa
This Placement Training helped me secure a placement at Amazon. It covered aptitude, coding, and company-specific sessions. I’m grateful to the dedicated team for guiding me to crack big companies.
Richitha Kasula
The DSA classes improved my coding skills and logical thinking. Starting from basics helped me understand and apply concepts in PDSA labs. Math sessions and mentor support were extremely helpful.
Gavara Satya Pranathi
Suntek Corp’s structured DSA training built a strong foundation and enhanced my problem-solving skills. Their guidance helped me ace technical interviews, leading to multiple summer internships, including offers from Google and Microsoft.
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Frequently Asked Questions
Who are these programs designed for?
AI/ML Course: Ideal for working professionals transitioning to AI/ML roles, engineers/developers seeking to upskill, and tech graduates building foundational ML expertise.
What are the program durations and formats?
AI/ML: 200+ hrs, weekend online with live lectures, hands-on labs, capstone projects, and access to recorded sessions.
What are the prerequisites?
AI/ML: Basic Python knowledge and high-school math (algebra, statistics). Includes a 1-week Python refresher module.
What are the fees for each program?
AI/ML: Refer to courses for details.
What topics are covered in each program?
AI/ML:
Core ML (Supervised/Unsupervised Learning)
Deep Learning (CNNs, RNNs, Transformers)
Specializations (Computer Vision, NLP)
MLOps basics (Model deployment, MLflow)
Refer to the AI ML Curriculum for details.
How much hands-on practice is included?
AI/ML: 70% project-based, including 12 capstone projects and daily exercises/assignments.
Will I earn a certificate?
AI/ML: Yes, upon completing all projects and scoring ≥75% in assessments
How are the sessions conducted?
AI/ML: Live instructor-led theory + live coding, guided labs with Mentors
What if I miss a live session?
All programs provide recorded sessions
Who are the instructors?
AI/ML: Google AI Engineer (upcoming), AI startup leaders, Kaggle experts, ranked #8 in Microsoft and #72 in Amazon Hackathons.
What mentor support is provided?
AI/ML: Weekly 1:1 feedback, GitHub PR reviews, career advice (resume, LinkedIn).
Can I interact with mentors outside sessions?
Yes, via: Dedicated Discord channel (24-hour response time).
Do you guarantee placements?
No placement guarantees, but all programs offer:
Job referrals: Curated opportunities.
Profile building: GitHub portfolio and LinkedIn optimization.
Interview prep: Mock technical interviews
What companies have hired your alumni?
Alumni from all programs have joined tech giants like Google, Microsoft, Goldman Sachs, Flipkart, and more.
Can I pay in installments?
Yes, EMI options are available for all programs.
Is there a refund policy?
100% refund within 7 days if no sessions attended for all programs.