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AI Course in Pune, Artificial Intelligence Course in Pune with Placement

100% Job Oriented AI Course in Pune from Experts Trainers in Pune with interview Preparation. Real Hardware. Live Projects. 100% Placement Support, backed by 19 years of excellence.

🎓 100% Placement Support 🔧 Live Hardware Projects 👨‍💼 Working Industry Experts 💻 Online + Classroom
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Course Details

Syllabus for AI Course in Pune with Placement

Comprehensive 3-6 month program covering AI Training

Overview
Curriculum

What is Artificial Intelligence? Artificial Intelligence (AI) is the capacity of machines to perform errands that commonly require human intelligence. Consider training PCs to comprehend and behave like people whether it's perceiving your face in photographs, assisting you with shopping on the web, or in any event, driving a vehicle. Artificial Intelligence is taking over mechanical progressions quickly and you feel that you are slacking in your field due to an absence of information in the field of AI.

Technoscripts has come up with an Artificial Intelligence Course in Pune with Placement changing life of Young working professionals and freshers from engineering field. This Training program can be pursued by engineering graduates from any background may it be B.tech, M.tech, BCA, B.E etc. Now every candidate can learn the magic of artificial intelligence and do wonders with our AI Course in Pune.

Now more than 100s of students join this training program and get a kickstart in their careers. Technoscripts has already placed more than 4123+ students in the field of artificial intelligence and conducted over 32 + Placement drives and 18+ walk-in interview drives. With over 6+ Years of experience in the field of mentoring students for Artificial Intelligence has helped us become one of the best Training institutes in Artificial Intelligence in 2025. Now also trusted by 1000s of students in the most trending and challenging fields of information technology like embedded systems, data science, data analytics, full stack development and Artificial intelligence.

📋 Course At a Glance

Duration: 4 to 6 Months
Modes: Weekday / Weekend / Evening / Fast-Track
Format: Classroom, Online, or Hybrid
Certificate: NASSCOM® + Dual Certificate
Projects: 2+ Live Industry Projects
Placement: 100% Placement Support
Trainers: Working Industry Professionals
Eligibility: BE / B.Tech / Diploma / BSc (Any Branch)
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30 comprehensive modules. Click any module to expand the full syllabus.

01
Foundations of Advanced AI
▼
Recap of AI basics: Machine Learning, Deep Learning essentials. What makes AI "advanced"? Focus on scalability, complexity, and innovation. Overview of advanced AI domains: NLP, Computer Vision, Generative AI. Career paths: AI researcher, architect, specialist roles. Hands-on: Set up advanced tools (Python, Jupyter, Git).
02
Advanced Python for AI
▼
Python review: Data structures, functions, OOP. Libraries for advanced AI: NumPy, Pandas, SciPy. Multithreading and multiprocessing for performance. Memory management and optimization. Hands-on: Optimize a Python script for large datasets.
03
Mathematics for Advanced AI
▼
Eigenvalues & SVD. Calculus: Partial derivatives, optimization gradients. Probability: Bayesian inference, Markov Chains. Information Theory: Entropy, KL Divergence. Hands-on: Solve matrix problems with Python.
04
Deep Learning Fundamentals
▼
Neural network recap: Layers, weights, activations. Backpropagation and gradient descent in depth. Optimizers: Adam, RMSprop, learning rate schedules. Frameworks: TensorFlow 2.x, PyTorch setup.
05
CNN's - Advanced
▼
CNN architecture: Convolutions, pooling, strides. Advanced models: ResNet, Inception, EfficientNet. Transfer learning for custom datasets. Fine-tuning pre-trained models. Hands-on: Train a ResNet model on a custom image dataset.
06
Recurrent Neural Networks (RNNs) - Advanced
▼
RNN recap: Sequential data processing. LSTM & GRU. Bidirectional RNNs & attention mechanisms. Applications: Time series, speech recognition. Hands-on: Build an LSTM for stock price prediction.
07
Transformers and Attention Mechanisms
▼
Transformer architecture: Encoder, Decoder, Self-Attention. Multi-Head Attention and Positional Encoding. Models: BERT, GPT, T5 overview. Applications: Text generation, translation. Hands-on: Fine-tune a BERT model for text classification.
08
Advanced NLP
▼
Word2Vec & GloVe. Sequence-to-sequence models for translation. Contextual embeddings: ELMo, BERT, RoBERTa. Advanced tasks: Summarization, question answering. Hands-on: Build a text summarization model.
09
Generative Adversarial Networks (GANs) - Part 1
▼
GAN basics: Generator vs. Discriminator. Training challenges: Mode collapse, instability. Loss functions: Wasserstein, Least Squares. Applications: Image synthesis, data augmentation. Hands-on: Train a basic GAN for image generation.
10
GANs - Part 2
▼
DCGAN, StyleGAN & CycleGAN. Conditional GANs for controlled outputs. Evaluation: Fréchet Inception Distance (FID). Practical use: Art generation, face editing. Hands-on: Implement a StyleGAN model.
11
Variational Autoencoders (VAEs)
▼
VAE structure: Encoder, latent space, decoder. Reparameterization trick and KL Divergence. Generating new data with VAEs. Applications: Data denoising, anomaly detection. Hands-on: Build a VAE for MNIST digit generation.
12
Diffusion Models
▼
Diffusion process: Noise addition and removal. DDPM (Denoising Diffusion Probabilistic Models). Comparison of GANs & VAEs. High-quality image generation. Hands-on: Train a diffusion model for images.
13
Reinforcement Learning - Advanced
▼
Recap: Agents, rewards, environments. Deep Q-Learning (DQN) with neural networks. Policy Gradient Methods: REINFORCE, PPO. Applications: Robotics, game AI. Hands-on: Build a DQN for a game environment.
14
Graph Neural Networks (GNNs)
▼
Graphs: Nodes, edges, and their importance. GNN basics: Message passing, aggregation. Models: Graph Convolutional Networks (GCN), GraphSAGE. Applications: Social networks, molecular modeling. Hands-on: Train a GCN on a graph dataset.
15
Self-Supervised Learning
▼
What is self-supervised learning? No labeled data. Techniques: Contrastive Learning, SimCLR, MoCo. Pretext tasks: Rotation prediction, masking. Applications: Pre-training for downstream tasks. Hands-on: Implement a contrastive learning model.
16
Federated Learning
▼
Decentralized AI: Training across devices. Privacy preservation with federated averaging. Challenges: Communication costs, data heterogeneity. Use cases: Healthcare, mobile apps. Hands-on: Simulate a federated learning setup.
17
AI for Computer Vision - Advanced
▼
Object detection: YOLO, Faster R-CNN. Semantic segmentation: U-Net, DeepLab. Pose estimation and tracking. Real-time vision systems. Hands-on: Build an object detection model.
18
Audio and Speech Processing
▼
Audio data: Waveforms, spectrograms. Speech-to-text with RNNs and Transformers. Text-to-speech with WaveNet. Applications: Virtual assistants, music generation. Hands-on: Train a speech recognition model.
19
Multimodal AI
▼
Combining text, images, and audio. Models: CLIP, DALL·E, VQ-VAE. Cross-modal learning challenges. Applications: Image captioning, video analysis. Hands-on: Build a text-to-image pipeline.
20
Optimization Techniques for AI
▼
Advanced optimizers: AdamW, LAMB. Gradient clipping and learning rate scheduling. Second-order methods: Newton, Quasi-Newton. Stabilizing training for large models. Hands-on: Optimize a deep learning model.
21
AI Model Interpretability
▼
Why interpretability matters in AI. Techniques: SHAP, LIME, Grad-CAM. Visualizing model decisions. Trust and transparency in deployment. Hands-on: Interpret a CNN's predictions.
22
Scalable AI Systems
▼
Distributed training: Data vs. model parallelism. GPU/TPU usage with PyTorch and TensorFlow. Handling large datasets with batching. Cloud tools: AWS SageMaker, GCP AI Platform. Hands-on: Train a model on multiple GPUs.
23
AI Security and Robustness
▼
Adversarial attacks: FGSM, PGD. Defending models: Adversarial training. Data poisoning and model theft risks. Secure AI deployment. Hands-on: Test an attack on a model.
24
AI in Industry - Advanced Applications
▼
Healthcare: Drug discovery, medical imaging AI. Finance: Algorithmic trading, fraud detection. Autonomous systems: Self-driving tech. Case studies: Cutting-edge deployments. Hands-on: Solve an industry problem.
25
Model Deployment and MLOps
▼
Model serving: Flask, FastAPI, TensorFlow Serving. CI/CD pipelines for AI models. Monitoring: Drift detection, performance tracking. Cloud deployment: AWS, Azure, GCP. Hands-on: Deploy a model with an API.
26
Ethics and Responsible AI - Advanced
▼
Bias mitigation: Fairness-aware algorithms. Privacy: Differential privacy, federated learning. AI regulations: GDPR, AI Act. Ethical case studies: Deepfakes, autonomous weapons. Discussion: Balancing innovation and responsibility.
27
Research Trends in Advanced AI
▼
Emerging models: Sparse Transformers, NeRF. Quantum AI: Basics and potential. Open-source AI ecosystems: Hugging Face, PyTorch Hub. Reading research papers effectively. Hands-on: Replicate a recent AI paper.
28
Placement Preparation - Technical Skills
▼
Resume building: Highlight advanced AI projects. Portfolio: Showcase GANs, Transformers, etc. Coding interviews: Advanced AI problems. Mock technical interviews. Hands-on: Solve AI coding challenges.
29
Placement Preparation - Professional Skills
▼
Behavioral interviews: Leadership, teamwork. Job search: LinkedIn, networking in Pune. Industry expectations: AI roles and skills. Mock HR interviews. Hands-on: Prepare a job pitch.
30
Capstone Project
▼
Project selection: Advanced AI challenge (e.g., multimodal model, real-time AI). Full cycle: Data prep, model design, evaluation, deployment. Presentation: Demo to peers and mentors. Placement support: Project showcased to recruiters. Final submission: Report and live demo.
Features

Features of Artificial Intelligence Course in Pune

100% Placement Support

Technoscripts is Accredited by NASSCOM and also ISO certified making it one of the most trusted Training institutes around the city.

Live Project Mentorship

Technoscripts provide Live Project Mentorship from industry experts, providing students with hands-on training experience making them industry ready.

Mock Interviews

Mock interviews are conducted for Technical, HR and managerial rounds by industry experts, leading candidates to learn from their mistakes and calm their nerves down during actual interviews.

LinkedIn Optimization

Along with this Linkedin Optimization Workshops from experts and ATS resume creation sessions of industrial and HR managers, making their digital profiles outshine the competition.

Online, Offline & Hybrid

This AI Course in Pune with Placement is available in online, offline and hybrid modes of training providing flexibility and ease of learning to all the college students and working professionals.

Up-to-date Study Material

Technoscripts also provide up to date study material along with the access to a dedicated Learning management System. We also provide internship letters and experience letters, enhancing the value of the profile of a candidate.

Internship & Experience Letters

We also provide internship letters and experience letters, enhancing the value of the profile of a candidate

Expert Mentors 20+ Years

Our mentors have a cumulative experience of more than 20+ years in training and mentoring students along with 15+ Years of cumulative experience in the field of Advance Artificial Intelligence.

Training Modes

Online and Offline Training for AI Training in Pune

Online Training for AI Course in Pune with placement

Technoscripts Provide online training in Artificial Intelligence Course in Pune with placement inclusive of all the features: Mock Interviews, Linkedin Optimization, provision of internship letter, NASSCOM Accreditation and ISO certification, Up-to date course material and access to dedicated Learning Management System. The mentors and fees both remain the same for the online mode of this training program.

Technoscripts also provide facility to students in online mode to come and attend classes in offline mode too making it a hybrid model with 100% Placement Assistance. These batches are also available in both weekend and weekday modes.

  • All features included — same fees as offline
  • Hybrid model — attend offline classes too
  • Weekend and weekday batches available
  • Access to Learning Management System

Offline Classes for AI Classes in Pune with placement

Technoscripts provides training in offline mode from expert industry mentors also providing training and mentorship to the students in online mode also. Hands on Live projects and practical implementation in our advanced smart classes provides excellent experience to the candidates. Regular doubt sessions are also conducted on a weekly basis or every 15 days making it easy for candidates to clear their doubts on priority basis.

Recording of lectures is also provided to students in case of failure to attend live classroom training sessions on our Learning management System. These batches are also available in both weekend and weekday modes.

  • Hands-on live projects in smart classrooms
  • Weekly / fortnightly doubt clearing sessions
  • Lecture recordings on LMS if class missed
  • Weekend and weekday batches available
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Benefits

Benefits of pursuing AI Course in Pune with placement

All the Candidates pursuing this training program gain hands-on knowledge for industrial and corporate implementation, Logic building and problem solving skills in the field of Advance Artificial intelligence.

This Course also helps candidates with building their digital profiles and exploring more about the latest trends and skill requirements in the top MNC companies and also startups around the globe.

AI Course in Pune with placement also provides all the candidates with Networking Opportunities and builds a strong network, which can be utilised later to overcome challenges and flourish new opportunities.

Students gain confidence in their respective domain and after completion of this course, it also opens up other opportunities in different fields like Advance Artificial Intelligence, Data Science, Data Analytics, Full Stack Python Development, Machine Learning and much more.

Who Should Join

Which is the best institute for AI Classes in Pune with placement?

402+ Students Placed in 2025 alone
102+ Placement drives conducted
13+ Walk-in interview drives
18.9% Increase in placement rate
Why We're #1

Technoscripts Stands the best training institute for AI Course in Pune with placement because in 2025 alone we have placed more than 402+ Students and conducted more than 13+ Placement drives along with 7+ walk-in interview drives.

Students who pursued this Course have noticed a 28% increase of them getting placed because of our features like conducting mock interviews, linkedin optimization and ATS friendly resume building.

Professionals notice 18.9% additional hikes and 14.1% additional ease in switching companies with better position and salary after pursuing this course at Technoscripts making us one of the top most Training institutes in Pune.

Technoscripts is now trusted by 10000+ students in the field of IT training across 10 major domains like Advanced Embedded Systems, Artificial Intelligence, Automotive and EV Technologies, Data Science, Data Analytics, Power BI and Tableau, Full Stack Development and Machine learning.

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Industry-format resume built by experts. Profile forwarded to 572+ hiring partners.

02

Mock Interviews

Regular technical + HR mock rounds by trainers and external HR panels.

03

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Actively referred to 572+ tie-up companies. Campus and off-campus drives organized regularly.

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What Our Students Say

Real feedback from students who built their embedded careers after training at TechnoScripts. Rated 4.9 / 5 on Google.

★★★★★

This AI Course made my life, I was struggling with my career and was not able to get a job. But choosing this course I got a job that I could even never dream of. They made the placement process very smooth. I recommend the Artificial Intelligence Course in Pune with placement to all professionals and freshers.

Raghav Shinde
AI Course
★★★★★

I am impressed with their course material and all the mentors providing training are very good. Their Live Project Feature helped me gain a lot of practical and implementation experience in the field of Artificial intelligence which helped me gain confidence in Corporate.

Hriday Arora
AI Course
★★★★★

Choosing this course was the best decision of my life, I was looking to switch my career and one day came across this course and this course helped me get a very good job even in tough market conditions even after having not the same background.

Sammrudhi Pawar
AI Course
★★★★★

Artificial Intelligence Course in Pune at this institute was one of the best training experiences and it helped me to gain and upskill myself a lot. I recommend this AI training in Pune to everyone and this might be a life-changing experience.

Girish Jhadav
AI Course
4.9
★★★★★
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